fixed StopSequences error with GPT-4 Vision

Author: toshiakit

+llms/+internal/callOpenAIChatAPI.m

@@ -146,6 +146,15 @@
         parameters.(dict(opt)) = nvp.(opt);
     end
 end
+
+if isempty(nvp.StopSequences)
+    parameters = rmfield(parameters,"stop");
+end
+
+if nvp.MaxNumTokens == Inf
+    parameters = rmfield(parameters,"max_tokens");
+end
+
 end
 
 function dict = mapNVPToParameters()

README.md

@@ -56,7 +56,7 @@ Set up your OpenAI API key. Create a `.env` file in the project root directory w
     OPENAI_API_KEY=<your key>
     ```
 
-    Then load your `.env` file as follows:
+Then load your `.env` file as follows:
 
     ```matlab
     loadenv(".env")
@@ -287,9 +287,9 @@ You can extract the arguments and write the data to a table, for example.
 
 ### Understand the content of an image
 
-You can use gpt-4-vision-preview to experiment with image understanding. 
+You can use gpt-4-turbo to experiment with image understanding. 
 ```matlab
-chat = openAIChat("You are an AI assistant.", ModelName="gpt-4-turbo",StopSequences="stop");
+chat = openAIChat("You are an AI assistant.", ModelName="gpt-4-turbo");
 image_path = "peppers.png";
 messages = openAIMessages;
 messages = addUserMessageWithImages(messages,"What is in the image?",image_path);

tests/topenAIChat.m

@@ -38,7 +38,7 @@ function generateAcceptsMessagesAsInput(testCase)
         end
 
         function constructMdlWithInvalidParameters(testCase)
-            testCase.verifyError(@()openAIChat(ApiKey="this-is-not-a-real-key", ResponseFormat="json"), "llms:invalidOptionAndValueForModel");
+            testCase.verifyError(@()openAIChat(ApiKey="this-is-not-a-real-key", ModelName="gpt-4", ResponseFormat="json"), "llms:invalidOptionAndValueForModel");
         end
 
         function keyNotFound(testCase)