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

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

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

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

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

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

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

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

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

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```csharp
2-
var response = client.PostFilesWithRequest(new CropVideo {
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using var fsVideo = File.OpenRead("files/test_video.mp4");
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var response = client.PostFileWithRequest(new CropVideo {
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X = 100,
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Y = 100,
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Width = 500,
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Height = 300
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},
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[new UploadFile("test_video.mp4", File.OpenRead("files/test_video.mp4"), "video")]
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);
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new UploadFile("test_video.mp4", fsVideo, "video"));
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var videoUrl = response.Outputs[0].Url;
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var videoUrl = response.Results[0].Url;
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videoUrl.DownloadFileTo(outputFileName);
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```

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

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```csharp
2-
var response = client.PostFilesWithRequest(new ImageToImage {
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using var fsImage = File.OpenRead("files/comfyui_upload_test.png");
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var response = client.PostFileWithRequest(new ImageToImage {
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PositivePrompt = "A beautiful sunset over the ocean",
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NegativePrompt = "A pixelated, low-quality image"
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},
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[new UploadFile("image", File.OpenRead("files/comfyui_upload_test.png"), "image")]
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);
8-
response.Outputs[0].Url.DownloadFileTo(outputFileName);
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new UploadFile("image", fsImage, "image"));
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response.Results[0].Url.DownloadFileTo(outputFileName);
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```

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

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@@ -1,5 +1,5 @@
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```csharp
2-
var response = client.PostFilesWithRequest(new ImageToText(),
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[new UploadFile("image", File.OpenRead("files/test_image.jpg"), "image")]
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);
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using var fsImage = File.OpenRead("files/test_image.jpg");
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var response = client.PostFileWithRequest(new ImageToText(),
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new UploadFile("image", fsImage, "image"));
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```

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

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```csharp
2-
var response = client.PostFilesWithRequest(new ImageUpscale(),
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[new UploadFile("image", File.OpenRead("files/test_image.jpg"), "image")]
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);
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response.Outputs[0].Url.DownloadFileTo(outputFileName);
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using var fsImage = File.OpenRead("files/test_image.jpg");
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var response = client.PostFileWithRequest(new ImageUpscale(),
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new UploadFile("image", fsImage, "image"));
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response.Results[0].Url.DownloadFileTo(outputFileName);
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```

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

Lines changed: 8 additions & 5 deletions
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```csharp
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using var fsImage = File.OpenRead("files/comfyui_upload_test.png");
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using var fsMask = File.OpenRead("files/comfyui_upload_test_mask.png");
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var response = client.PostFilesWithRequest(new ImageWithMask {
35
PositivePrompt = "A beautiful sunset over the ocean",
46
NegativePrompt = "A pixelated, low-quality image"
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},
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[new UploadFile("image", File.OpenRead("files/comfyui_upload_test.png"), "image"),
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new UploadFile("mask", File.OpenRead("files/comfyui_upload_test_mask.png"), "mask")]
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);
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response.Outputs[0].Url.DownloadFileTo(outputFileName);
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}, [
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new UploadFile("image", fsImage, "image"),
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new UploadFile("mask", fsMask, "mask")
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]);
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response.Results[0].Url.DownloadFileTo(outputFileName);
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```

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

Lines changed: 13 additions & 10 deletions
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```csharp
2-
var client = new JsonApiClient("https://api.openai.com/v1");
2+
var client = new JsonApiClient("https://api.openai.com");
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client.AddHeader("Authorization", "Bearer " + Environment.GetEnvironmentVariable("OPENAI_API_KEY"));
44

55
// Using AI Server DTOs with OpenAI API
6-
var response = await client.PostAsync<OpenAiChatResponse>("/chat/completions",
7-
new OpenAiChatCompletion {
8-
Model = "gpt-4-turbo",
9-
Messages = new List<OpenAiMessage> {
10-
new OpenAiMessage { Role = "system", Content = "You are a helpful AI assistant." },
11-
new OpenAiMessage { Role = "user", Content = "How do LLMs work?" }
12-
},
13-
MaxTokens = 50
14-
});
6+
var request = new OpenAiChatCompletion {
7+
Model = "gpt-4-turbo",
8+
Messages = [
9+
new() { Role = "system", Content = "You are a helpful AI assistant." },
10+
new() { Role = "user", Content = "What is the capital of France?" }
11+
],
12+
MaxTokens = 20
13+
};
14+
15+
var response = await client.PostAsync<OpenAiChatResponse>(
16+
"/v1/chat/completions",
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request);
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```

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