Update sample codes for images/vision

Author: justinyoo

docs/guides/images-vision/responses/analyze_images_passing_base64_string.cs

@@ -11,10 +11,11 @@
 string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
 OpenAIResponseClient client = new(model: "gpt-5", apiKey: key);
 
-using var http = new HttpClient();
+Uri imageUrl = new("https://openai-documentation.vercel.app/images/cat_and_otter.png");
+using HttpClient http = new();
 
 // Download an image as stream
-using var stream = await http.GetStreamAsync("https://openai-documentation.vercel.app/images/cat_and_otter.png");
+using var stream = await http.GetStreamAsync(imageUrl);
 
 OpenAIResponse response1 = (OpenAIResponse)client.CreateResponse([
     ResponseItem.CreateUserMessageItem([
@@ -26,7 +27,7 @@
 Console.WriteLine($"From image stream: {response1.GetOutputText()}");
 
 // Download an image as byte array
-byte[] bytes = await http.GetByteArrayAsync("https://openai-documentation.vercel.app/images/cat_and_otter.png");
+byte[] bytes = await http.GetByteArrayAsync(imageUrl);
 
 OpenAIResponse response2 = (OpenAIResponse)client.CreateResponse([
     ResponseItem.CreateUserMessageItem([
@@ -36,15 +37,3 @@
 ]);
 
 Console.WriteLine($"From byte array: {response2.GetOutputText()}");
-
-// Convert the byte array to a base64 string
-string base64 = Convert.ToBase64String(bytes);
-
-OpenAIResponse response3 = (OpenAIResponse)client.CreateResponse([
-    ResponseItem.CreateUserMessageItem([
-        ResponseContentPart.CreateInputTextPart("What is in this image?"),
-        ResponseContentPart.CreateInputImagePart(BinaryData.FromString(base64), "image/png")
-    ])
-]);
-
-Console.WriteLine($"From base64 string: {response3.GetOutputText()}");

docs/guides/images-vision/responses/analyze_images_passing_file.cs

@@ -12,17 +12,19 @@
 string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
 OpenAIResponseClient client = new(model: "gpt-5", apiKey: key);
 
+string filename = "cat_and_otter.png";
+Uri imageUrl = new($"https://openai-documentation.vercel.app/images/{filename}");
 using var http = new HttpClient();
 
 // Download an image as stream
-using var stream = await http.GetStreamAsync("https://openai-documentation.vercel.app/images/cat_and_otter.png");
+using var stream = await http.GetStreamAsync(imageUrl);
 
 OpenAIFileClient files = new(key);
-OpenAIFile file = await files.UploadFileAsync(BinaryData.FromStream(stream), "cat_and_otter.png", FileUploadPurpose.Vision);
+OpenAIFile file = await files.UploadFileAsync(BinaryData.FromStream(stream), filename, FileUploadPurpose.Vision);
 
 OpenAIResponse response = (OpenAIResponse)client.CreateResponse([
     ResponseItem.CreateUserMessageItem([
-        ResponseContentPart.CreateInputFilePart(file.Id),
+        ResponseContentPart.CreateInputImagePart(file.Id),
         ResponseContentPart.CreateInputTextPart("what's in this image?")
     ])
 ]);

docs/guides/images-vision/responses/analyze_images_passing_url.cs

@@ -11,10 +11,12 @@
 string key = Environment.GetEnvironmentVariable("OPENAI_API_KEY")!;
 OpenAIResponseClient client = new(model: "gpt-5", apiKey: key);
 
+Uri imageUrl = new("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg");
+
 OpenAIResponse response = (OpenAIResponse)client.CreateResponse([
     ResponseItem.CreateUserMessageItem([
         ResponseContentPart.CreateInputTextPart("What is in this image?"),
-        ResponseContentPart.CreateInputImagePart(new Uri("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"))
+        ResponseContentPart.CreateInputImagePart(imageUrl)
     ])
 ]);