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#5690 Added samples @RogerBarreto --------- Co-authored-by: Roger Barreto <[email protected]>
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dotnet/samples/Concepts/ChatCompletion/Anthropic_ChatCompletion.cs
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| // Copyright (c) Microsoft. All rights reserved. | ||
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| using Microsoft.SemanticKernel; | ||
| using Microsoft.SemanticKernel.ChatCompletion; | ||
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| namespace ChatCompletion; | ||
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| public sealed class Anthropic_ChatCompletion(ITestOutputHelper output) : BaseTest(output) | ||
| { | ||
| [Fact] | ||
| public async Task SampleAsync() | ||
| { | ||
| Console.WriteLine("============= Anthropic - Claude Chat Completion ============="); | ||
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| string apiKey = TestConfiguration.AnthropicAI.ApiKey; | ||
| string modelId = TestConfiguration.AnthropicAI.ModelId; | ||
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| Assert.NotNull(apiKey); | ||
| Assert.NotNull(modelId); | ||
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| Kernel kernel = Kernel.CreateBuilder() | ||
| .AddAnthropicChatCompletion( | ||
| modelId: modelId, | ||
| apiKey: apiKey) | ||
| .Build(); | ||
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| await SimpleChatAsync(kernel); | ||
| } | ||
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| private async Task SimpleChatAsync(Kernel kernel) | ||
| { | ||
| Console.WriteLine("======== Simple Chat ========"); | ||
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| var chatHistory = new ChatHistory("You are an expert in the tool shop."); | ||
| var chat = kernel.GetRequiredService<IChatCompletionService>(); | ||
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| // First user message | ||
| chatHistory.AddUserMessage("Hi, I'm looking for new power tools, any suggestion?"); | ||
| await MessageOutputAsync(chatHistory); | ||
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| // First bot assistant message | ||
| var reply = await chat.GetChatMessageContentAsync(chatHistory); | ||
| chatHistory.Add(reply); | ||
| await MessageOutputAsync(chatHistory); | ||
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| // Second user message | ||
| chatHistory.AddUserMessage("I'm looking for a drill, a screwdriver and a hammer."); | ||
| await MessageOutputAsync(chatHistory); | ||
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| // Second bot assistant message | ||
| reply = await chat.GetChatMessageContentAsync(chatHistory); | ||
| chatHistory.Add(reply); | ||
| await MessageOutputAsync(chatHistory); | ||
| } | ||
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| /// <summary> | ||
| /// Outputs the last message of the chat history | ||
| /// </summary> | ||
| private Task MessageOutputAsync(ChatHistory chatHistory) | ||
| { | ||
| var message = chatHistory.Last(); | ||
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| Console.WriteLine($"{message.Role}: {message.Content}"); | ||
| Console.WriteLine("------------------------"); | ||
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| return Task.CompletedTask; | ||
| } | ||
| } |
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dotnet/samples/Concepts/ChatCompletion/Anthropic_ChatCompletionStreaming.cs
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| @@ -0,0 +1,90 @@ | ||
| // Copyright (c) Microsoft. All rights reserved. | ||
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| using System.Text; | ||
| using Microsoft.SemanticKernel; | ||
| using Microsoft.SemanticKernel.ChatCompletion; | ||
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| namespace ChatCompletion; | ||
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| public sealed class Anthropic_ChatCompletionStreaming(ITestOutputHelper output) : BaseTest(output) | ||
| { | ||
| [Fact] | ||
| public async Task SampleAsync() | ||
| { | ||
| Console.WriteLine("============= Anthropic - Claude Chat Streaming ============="); | ||
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| string apiKey = TestConfiguration.AnthropicAI.ApiKey; | ||
| string modelId = TestConfiguration.AnthropicAI.ModelId; | ||
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| Assert.NotNull(apiKey); | ||
| Assert.NotNull(modelId); | ||
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| Kernel kernel = Kernel.CreateBuilder() | ||
| .AddAnthropicChatCompletion( | ||
| modelId: modelId, | ||
| apiKey: apiKey) | ||
| .Build(); | ||
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| await this.StreamingChatAsync(kernel); | ||
| } | ||
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| private async Task StreamingChatAsync(Kernel kernel) | ||
| { | ||
| Console.WriteLine("======== Streaming Chat ========"); | ||
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| var chatHistory = new ChatHistory("You are an expert in the tool shop."); | ||
| var chat = kernel.GetRequiredService<IChatCompletionService>(); | ||
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| // First user message | ||
| chatHistory.AddUserMessage("Hi, I'm looking for alternative coffee brew methods, can you help me?"); | ||
| await MessageOutputAsync(chatHistory); | ||
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| // First bot assistant message | ||
| var streamingChat = chat.GetStreamingChatMessageContentsAsync(chatHistory); | ||
| var reply = await MessageOutputAsync(streamingChat); | ||
| chatHistory.Add(reply); | ||
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| // Second user message | ||
| chatHistory.AddUserMessage("Give me the best speciality coffee roasters."); | ||
| await MessageOutputAsync(chatHistory); | ||
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| // Second bot assistant message | ||
| streamingChat = chat.GetStreamingChatMessageContentsAsync(chatHistory); | ||
| reply = await MessageOutputAsync(streamingChat); | ||
| chatHistory.Add(reply); | ||
| } | ||
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| /// <summary> | ||
| /// Outputs the last message of the chat history | ||
| /// </summary> | ||
| private Task MessageOutputAsync(ChatHistory chatHistory) | ||
| { | ||
| var message = chatHistory.Last(); | ||
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| Console.WriteLine($"{message.Role}: {message.Content}"); | ||
| Console.WriteLine("------------------------"); | ||
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| return Task.CompletedTask; | ||
| } | ||
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| private async Task<ChatMessageContent> MessageOutputAsync(IAsyncEnumerable<StreamingChatMessageContent> streamingChat) | ||
| { | ||
| bool first = true; | ||
| StringBuilder messageBuilder = new(); | ||
| await foreach (var chatMessage in streamingChat) | ||
| { | ||
| if (first) | ||
| { | ||
| Console.Write($"{chatMessage.Role}: "); | ||
| first = false; | ||
| } | ||
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| Console.Write(chatMessage.Content); | ||
| messageBuilder.Append(chatMessage.Content); | ||
| } | ||
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| Console.WriteLine(); | ||
| Console.WriteLine("------------------------"); | ||
| return new ChatMessageContent(AuthorRole.Assistant, messageBuilder.ToString()); | ||
| } | ||
| } |
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dotnet/samples/Concepts/ChatCompletion/Anthropic_ProvidersSetup.cs
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| // Copyright (c) Microsoft. All rights reserved. | ||
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| using Microsoft.SemanticKernel; | ||
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| namespace ChatCompletion; | ||
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| /// <summary> | ||
| /// This sample shows how to setup different providers for anthropic. | ||
| /// </summary> | ||
| public sealed class Anthropic_ProvidersSetup(ITestOutputHelper output) : BaseTest(output) | ||
| { | ||
| public void AnthropicProvider() | ||
| { | ||
| var kernel = Kernel.CreateBuilder() | ||
| .AddAnthropicChatCompletion( | ||
| modelId: "modelId", | ||
| apiKey: "apiKey") | ||
| .Build(); | ||
| } | ||
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| /// <summary> | ||
| /// For more information on how to setup the Vertex AI provider, go to <see cref="Google_GeminiChatCompletion"/> sample. | ||
| /// </summary> | ||
| public void VertexAiProvider() | ||
| { | ||
| var kernel = Kernel.CreateBuilder() | ||
| .AddAnthropicVertextAIChatCompletion( | ||
| modelId: "modelId", | ||
| bearerTokenProvider: () => ValueTask.FromResult("bearer"), | ||
| endpoint: new Uri("https://your-endpoint")) | ||
| .Build(); | ||
| } | ||
| } |
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dotnet/samples/Concepts/ChatCompletion/Anthropic_Vision.cs
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,52 @@ | ||
| // Copyright (c) Microsoft. All rights reserved. | ||
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| using Microsoft.SemanticKernel; | ||
| using Microsoft.SemanticKernel.ChatCompletion; | ||
| using Resources; | ||
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| namespace ChatCompletion; | ||
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| public sealed class Anthropic_Vision(ITestOutputHelper output) : BaseTest(output) | ||
| { | ||
| [Fact] | ||
| public async Task SampleAsync() | ||
| { | ||
| Console.WriteLine("============= Anthropic - Claude Chat Completion ============="); | ||
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| string apiKey = TestConfiguration.AnthropicAI.ApiKey; | ||
| string modelId = TestConfiguration.AnthropicAI.ModelId; | ||
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| Assert.NotNull(apiKey); | ||
| Assert.NotNull(modelId); | ||
|
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| Kernel kernel = Kernel.CreateBuilder() | ||
| .AddAnthropicChatCompletion( | ||
| modelId: modelId, | ||
| apiKey: apiKey) | ||
| .Build(); | ||
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| var chatHistory = new ChatHistory("Your job is describing images."); | ||
| var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>(); | ||
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| // Load the image from the resources | ||
| await using var stream = EmbeddedResource.ReadStream("sample_image.jpg")!; | ||
| using var binaryReader = new BinaryReader(stream); | ||
| var bytes = binaryReader.ReadBytes((int)stream.Length); | ||
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| chatHistory.AddUserMessage( | ||
| [ | ||
| new TextContent("What’s in this image?"), | ||
| // Vertex AI Gemini API supports both base64 and URI format | ||
| // You have to always provide the mimeType for the image | ||
| new ImageContent(bytes, "image/jpeg"), | ||
| // The Cloud Storage URI of the image to include in the prompt. | ||
| // The bucket that stores the file must be in the same Google Cloud project that's sending the request. | ||
| // new ImageContent(new Uri("gs://generativeai-downloads/images/scones.jpg"), | ||
| // metadata: new Dictionary<string, object?> { { "mimeType", "image/jpeg" } }) | ||
| ]); | ||
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| var reply = await chatCompletionService.GetChatMessageContentAsync(chatHistory); | ||
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| Console.WriteLine(reply.Content); | ||
| } | ||
| } |
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