Update ai-server-examples

MyApp/_includes/ai-server/cs/ai-server-compatible-1.cs.md

@@ -1,15 +1,18 @@
 ```csharp
-var apiClient = GetLocalApiClient("https://localhost:5005");
+var apiClient = GetLocalApiClient(AiServerUrl);
 apiClient.BearerToken = Environment.GetEnvironmentVariable("AI_SERVER_API_KEY");
 
-var response = await apiClient.PostAsync(new OpenAiChatCompletion {
-    Model = "llama3:8b",
-    Messages = new List<OpenAiMessage>
-    {
-        new OpenAiMessage { Role = "system", Content = "You are a helpful AI assistant." },
-        new OpenAiMessage { Role = "user", Content = "How do LLMs work?" }
-    },
+var request = new OpenAiChatCompletion {
+    Model = "llama3.1:8b",
+    Messages =
+    [
+        new() { Role = "system", Content = "You are a helpful AI assistant." },
+        new() { Role = "user", Content = "How do LLMs work?" }
+    ],
     MaxTokens = 50
-});
-Console.WriteLine(response.Choices[0].Message.Content);
+};
+
+var response = await apiClient.PostAsync(request);
+var openAiResponse = response; // The same
+Console.WriteLine(openAiResponse.Choices[0].Message.Content);
 ```

MyApp/_includes/ai-server/cs/convert-image-1.cs.md

@@ -1,10 +1,10 @@
 ```csharp
-var response = client.PostFilesWithRequest(new ConvertImage {
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new ConvertImage {
         OutputFormat = ImageOutputFormat.Gif
     },
-    [new UploadFile("test_image.jpg", File.OpenRead("files/test_image.jpg"), "image")]
-);
+    new UploadFile("test_image.jpg", fsImage, "image"));
 
-var videoUrl = response.Outputs[0].Url;
+var videoUrl = response.Results[0].Url;
 videoUrl.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/convert-video-1.cs.md

@@ -1,10 +1,10 @@
 ```csharp
-var response = client.PostFilesWithRequest(new ConvertVideo {
+using var fsVideo = File.OpenRead("files/test_video.webm");
+var response = client.PostFileWithRequest(new ConvertVideo {
         OutputFormat = ConvertVideoOutputFormat.MOV
     },
-    [new UploadFile("test_video.webm", File.OpenRead("files/test_video.webm"), "video")]
-);
+    new UploadFile("test_video.webm", fsVideo, "video"));
 
-var videoUrl = response.Outputs[0].Url;
+var videoUrl = response.Results[0].Url;
 videoUrl.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/crop-image-1.cs.md

@@ -1,13 +1,13 @@
 ```csharp
-var response = client.PostFilesWithRequest(new CropImage {
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new CropImage {
         X = 50,
         Y = 50,
         Width = 150,
         Height = 150
     },
-    [new UploadFile("test_image.jpg", File.OpenRead("files/test_image.jpg"), "image")]
-);
+    new UploadFile("test_image.jpg", fsImage, "image"));
 
-var videoUrl = response.Outputs[0].Url;
+var videoUrl = response.Results[0].Url;
 videoUrl.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/crop-video-1.cs.md

@@ -1,13 +1,13 @@
 ```csharp
-var response = client.PostFilesWithRequest(new CropVideo {
+using var fsVideo = File.OpenRead("files/test_video.mp4");
+var response = client.PostFileWithRequest(new CropVideo {
         X = 100,
         Y = 100,
         Width = 500,
         Height = 300
     },
-    [new UploadFile("test_video.mp4", File.OpenRead("files/test_video.mp4"), "video")]
-);
+    new UploadFile("test_video.mp4", fsVideo, "video"));
 
-var videoUrl = response.Outputs[0].Url;
+var videoUrl = response.Results[0].Url;
 videoUrl.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/image-to-image-1.cs.md

@@ -1,9 +1,10 @@
 ```csharp
-var response = client.PostFilesWithRequest(new ImageToImage {
+using var fsImage = File.OpenRead("files/comfyui_upload_test.png");
+var response = client.PostFileWithRequest(new ImageToImage {
         PositivePrompt = "A beautiful sunset over the ocean",
         NegativePrompt = "A pixelated, low-quality image"
     },
-    [new UploadFile("image", File.OpenRead("files/comfyui_upload_test.png"), "image")]
-);
-response.Outputs[0].Url.DownloadFileTo(outputFileName);
+    new UploadFile("image", fsImage, "image"));
+
+response.Results[0].Url.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/image-to-text-1.cs.md

@@ -1,5 +1,5 @@
 ```csharp
-var response = client.PostFilesWithRequest(new ImageToText(),
-    [new UploadFile("image", File.OpenRead("files/test_image.jpg"), "image")]
-);
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new ImageToText(),
+    new UploadFile("image", fsImage, "image"));
 ```

MyApp/_includes/ai-server/cs/image-upscale-1.cs.md

@@ -1,6 +1,7 @@
 ```csharp
-var response = client.PostFilesWithRequest(new ImageUpscale(),
-    [new UploadFile("image", File.OpenRead("files/test_image.jpg"), "image")]
-);
-response.Outputs[0].Url.DownloadFileTo(outputFileName);
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new ImageUpscale(),
+    new UploadFile("image", fsImage, "image"));
+
+response.Results[0].Url.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/image-with-mask-1.cs.md

@@ -1,10 +1,13 @@
 ```csharp
+using var fsImage = File.OpenRead("files/comfyui_upload_test.png");
+using var fsMask = File.OpenRead("files/comfyui_upload_test_mask.png");
 var response = client.PostFilesWithRequest(new ImageWithMask {
         PositivePrompt = "A beautiful sunset over the ocean",
         NegativePrompt = "A pixelated, low-quality image"
-    },
-    [new UploadFile("image", File.OpenRead("files/comfyui_upload_test.png"), "image"),
-     new UploadFile("mask", File.OpenRead("files/comfyui_upload_test_mask.png"), "mask")]
-);
-response.Outputs[0].Url.DownloadFileTo(outputFileName);
+    }, [
+        new UploadFile("image", fsImage, "image"),
+        new UploadFile("mask", fsMask, "mask")
+    ]);
+
+response.Results[0].Url.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/open-ai-requests-1.cs.md

@@ -1,15 +1,18 @@
 ```csharp
-var client = new JsonApiClient("https://api.openai.com/v1");
+var client = new JsonApiClient("https://api.openai.com");
 client.AddHeader("Authorization", "Bearer " + Environment.GetEnvironmentVariable("OPENAI_API_KEY"));
 
 // Using AI Server DTOs with OpenAI API
-var response = await client.PostAsync<OpenAiChatResponse>("/chat/completions", 
-    new OpenAiChatCompletion {
-        Model = "gpt-4-turbo",
-        Messages = new List<OpenAiMessage> {
-            new OpenAiMessage { Role = "system", Content = "You are a helpful AI assistant." },
-            new OpenAiMessage { Role = "user", Content = "How do LLMs work?" }
-        },
-        MaxTokens = 50
-    });
+var request = new OpenAiChatCompletion {
+    Model = "gpt-4-turbo",
+    Messages = [
+        new() { Role = "system", Content = "You are a helpful AI assistant." },
+        new() { Role = "user", Content = "What is the capital of France?" }
+    ],
+    MaxTokens = 20
+};
+
+var response = await client.PostAsync<OpenAiChatResponse>(
+    "/v1/chat/completions", 
+    request);
 ```

MyApp/_includes/ai-server/cs/openaichatcompletion-1.cs.md

@@ -0,0 +1,15 @@
+```csharp
+var client = new JsonApiClient(baseUrl);
+client.BearerToken = apiKey;
+
+var api = await client.ApiAsync(new OpenAiChatCompletion {
+    Model = "mixtral:8x22b",
+    Messages = [
+        new() {
+            Role = "user",
+            Content = "What's the capital of France?"
+        }
+    ],
+    MaxTokens = 50
+});
+```

MyApp/_includes/ai-server/cs/queue-convert-image-1.cs.md

@@ -1,18 +1,18 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueConvertImage {
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new QueueConvertImage {
         OutputFormat = ImageOutputFormat.Png
     },
-    [new UploadFile("test_image.jpg", File.OpenRead("files/test_image.jpg"), "image")]
-);
+    new UploadFile("test_image.jpg", fsImage, "image"));
 
-var status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
+GetArtifactGenerationStatusResponse status = new();
 while (status.JobState is BackgroundJobState.Started or BackgroundJobState.Queued)
 {
+    status = await client.GetAsync(new GetArtifactGenerationStatus { RefId = response.RefId });
     await Task.Delay(1000);
-    status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
 }
 
 // Download the converted video
-var videoUrl = status.Outputs[0].Url;
+var videoUrl = status.Results[0].Url;
 videoUrl.DownloadFileTo(outputFileName);
 ```

MyApp/_includes/ai-server/cs/queue-crop-image-1.cs.md

@@ -1,21 +1,21 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueCropImage {
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new QueueCropImage {
         X = 50,
         Y = 50,
         Width = 150,
         Height = 150
     },
-    [new UploadFile("test_image.jpg", File.OpenRead("files/test_image.jpg"), "image")]
-);
+    new UploadFile("test_image.jpg", fsImage, "image"));
 
-var status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
+GetArtifactGenerationStatusResponse status = new();
 while (status.JobState is BackgroundJobState.Started or BackgroundJobState.Queued)
 {
+    status = await client.GetAsync(new GetArtifactGenerationStatus { RefId = response.RefId });
     await Task.Delay(1000);
-    status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
 }
 
 // Download the cropped video
-var videoUrl = status.Outputs[0].Url;
+var videoUrl = status.Results[0].Url;
 videoUrl.DownloadFileTo($"cropped-image-{status.RefId}.jpg");
 ```

MyApp/_includes/ai-server/cs/queue-crop-video-1.cs.md

@@ -1,21 +1,22 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueCropVideo {
+using var fsVideo = File.OpenRead("files/test_video.mp4");
+var response = client.PostFileWithRequest(new QueueCropVideo {
         X = 100,
         Y = 100,
         Width = 500,
         Height = 300
     },
-    [new UploadFile("test_video.mp4", File.OpenRead("files/test_video.mp4"), "video")]
+    new UploadFile("test_video.mp4", fsVideo, "video")
 );
 
-var status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
+GetArtifactGenerationStatusResponse status = new();
 while (status.JobState is BackgroundJobState.Started or BackgroundJobState.Queued)
 {
+    status = await client.GetAsync(new GetArtifactGenerationStatus { RefId = response.RefId });
     await Task.Delay(1000);
-    status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
 }
 
 // Download the cropped video
-var videoUrl = status.Outputs[0].Url;
+var videoUrl = status.Results[0].Url;
 videoUrl.DownloadFileTo($"cropped-video-{status.RefId}.mp4");
 ```

MyApp/_includes/ai-server/cs/queue-image-to-image-1.cs.md

@@ -1,8 +1,8 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueImageToImage {
+using var fsImage = File.OpenRead("files/comfyui_upload_test.png");
+var response = client.PostFileWithRequest(new QueueImageToImage {
         PositivePrompt = "A beautiful sunset over the ocean",
         NegativePrompt = "A pixelated, low-quality image"
     },
-    [new UploadFile("image", File.OpenRead("files/comfyui_upload_test.png"), "image")]
-);
+    new UploadFile("image", fsImage, "image"));
 ```

MyApp/_includes/ai-server/cs/queue-image-to-text-1.cs.md

@@ -1,5 +1,5 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueImageToText(),
-    [new UploadFile("image", File.OpenRead("files/test_image.jpg"), "image")]
-);
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new QueueImageToText(),
+    new UploadFile("image", fsImage, "image"));
 ```

MyApp/_includes/ai-server/cs/queue-image-upscale-1.cs.md

@@ -1,5 +1,5 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueImageUpscale(),
-    [new UploadFile("image", File.OpenRead("files/test_image.jpg"), "image")]
-);
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new QueueImageUpscale(),
+    new UploadFile("image", fsImage, "image"));
 ```

MyApp/_includes/ai-server/cs/queue-image-with-mask-1.cs.md

@@ -1,9 +1,11 @@
 ```csharp
+using var fsImage = File.OpenRead("files/comfyui_upload_test.png");
+using var fsMask = File.OpenRead("files/comfyui_upload_test_mask.png");
 var response = client.PostFilesWithRequest(new QueueImageWithMask {
         PositivePrompt = "A beautiful sunset over the ocean",
         NegativePrompt = "A pixelated, low-quality image"
-    },
-    [new UploadFile("image", File.OpenRead("files/comfyui_upload_test.png"), "image"),
-        new UploadFile("mask", File.OpenRead("files/comfyui_upload_test_mask.png"), "mask")]
-);
+    }, [
+        new UploadFile("image", fsImage, "image"),
+        new UploadFile("mask", fsMask, "mask")
+    ]);
 ```

MyApp/_includes/ai-server/cs/queue-openai-chat-completion-1.cs.md

@@ -1,20 +1,21 @@
 ```csharp
-var client = GetLocalApiClient("https://localhost:5005");
+var client = GetLocalApiClient(AiServerUrl);
 client.BearerToken = Environment.GetEnvironmentVariable("AI_SERVER_API_KEY");
 
-var response = await client.ApiAsync(new QueueOpenAiChatCompletion {
+var api = await client.ApiAsync(new QueueOpenAiChatCompletion
+{
     Request = new()
     {
         Model = "gpt-4-turbo",
-        Messages = new List<OpenAiMessage>
-        {
+        Messages =
+        [
             new() { Role = "system", Content = "You are a helpful AI assistant." },
             new() { Role = "user", Content = "How do LLMs work?" }
-        },
+        ],
         MaxTokens = 50
-    }
+    },
 });
-response.ThrowIfError();
+api.ThrowIfError();
 // Response only returns the related job information
-Console.WriteLine($"RefId: {response.Response.RefId}, JobId: {response.Response.Id}");
+Console.WriteLine($"RefId: {api.Response.RefId}, JobId: {api.Response.Id}");
 ```

MyApp/_includes/ai-server/cs/queue-scale-image-1.cs.md

@@ -1,20 +1,20 @@
 ```csharp
-var response = client.PostFilesWithRequest(new QueueScaleImage {
+using var fsImage = File.OpenRead("files/test_image.jpg");
+var response = client.PostFileWithRequest(new QueueScaleImage {
         Width = 1280,
         Height = 720,
         ReplyTo = "https://example.com/my/reply/endpoint" // optional
     },
-    [new UploadFile("test_image.jpg", File.OpenRead("files/test_image.jpg"), "image")]
-);
+    new UploadFile("test_image.jpg", fsImage, "image"));
 
-var status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
+GetArtifactGenerationStatusResponse status = new();
 while (status.JobState is BackgroundJobState.Started or BackgroundJobState.Queued)
 {
+    status = await client.GetAsync(new GetArtifactGenerationStatus { RefId = response.RefId });
     await Task.Delay(1000);
-    status = await client.GetAsync(new GetJobStatus { RefId = response.RefId });
 }
 
 // Download the scaled video
-var videoUrl = status.Outputs[0].Url;
+var videoUrl = status.Results[0].Url;
 videoUrl.DownloadFileTo($"scaled-image-{status.RefId}.jpg");
 ```