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28 changes: 28 additions & 0 deletions
28
dotnet/sample/AutoGen.Anthropic.Samples/AnthropicSamples.cs
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| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // AnthropicSamples.cs | ||
|
|
||
| using AutoGen.Anthropic.Extensions; | ||
| using AutoGen.Anthropic.Utils; | ||
| using AutoGen.Core; | ||
|
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| namespace AutoGen.Anthropic.Samples; | ||
|
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| public static class AnthropicSamples | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| #region create_anthropic_agent | ||
| var apiKey = Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY") ?? throw new Exception("Missing ANTHROPIC_API_KEY environment variable."); | ||
| var anthropicClient = new AnthropicClient(new HttpClient(), AnthropicConstants.Endpoint, apiKey); | ||
| var agent = new AnthropicClientAgent(anthropicClient, "assistant", AnthropicConstants.Claude3Haiku); | ||
| #endregion | ||
|
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| #region register_middleware | ||
| var agentWithConnector = agent | ||
| .RegisterMessageConnector() | ||
| .RegisterPrintMessage(); | ||
| #endregion register_middleware | ||
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| await agentWithConnector.SendAsync(new TextMessage(Role.Assistant, "Hello", from: "user")); | ||
| } | ||
| } |
18 changes: 18 additions & 0 deletions
18
dotnet/sample/AutoGen.Anthropic.Samples/AutoGen.Anthropic.Samples.csproj
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| <Project Sdk="Microsoft.NET.Sdk"> | ||
|
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| <PropertyGroup> | ||
| <OutputType>Exe</OutputType> | ||
| <TargetFramework>$(TestTargetFramework)</TargetFramework> | ||
| <ImplicitUsings>enable</ImplicitUsings> | ||
| <Nullable>enable</Nullable> | ||
| <GenerateDocumentationFile>True</GenerateDocumentationFile> | ||
| </PropertyGroup> | ||
|
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| <ItemGroup> | ||
| <ProjectReference Include="..\..\src\AutoGen.Anthropic\AutoGen.Anthropic.csproj" /> | ||
| <ProjectReference Include="..\..\src\AutoGen.DotnetInteractive\AutoGen.DotnetInteractive.csproj" /> | ||
| <ProjectReference Include="..\..\src\AutoGen.SourceGenerator\AutoGen.SourceGenerator.csproj" OutputItemType="Analyzer" ReferenceOutputAssembly="false" /> | ||
| <ProjectReference Include="..\..\src\AutoGen\AutoGen.csproj" /> | ||
| </ItemGroup> | ||
|
|
||
| </Project> |
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| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Program.cs | ||
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| namespace AutoGen.Anthropic.Samples; | ||
|
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| internal static class Program | ||
| { | ||
| public static async Task Main(string[] args) | ||
| { | ||
| await AnthropicSamples.RunAsync(); | ||
| } | ||
| } |
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24 changes: 24 additions & 0 deletions
24
dotnet/sample/AutoGen.Ollama.Sample/AutoGen.Ollama.Sample.csproj
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| <Project Sdk="Microsoft.NET.Sdk"> | ||
| <PropertyGroup> | ||
| <OutputType>Exe</OutputType> | ||
| <TargetFramework>$(TestTargetFramework)</TargetFramework> | ||
| <ImplicitUsings>enable</ImplicitUsings> | ||
| <GenerateDocumentationFile>True</GenerateDocumentationFile> | ||
| <NoWarn>$(NoWarn);CS8981;CS8600;CS8602;CS8604;CS8618;CS0219;SKEXP0054;SKEXP0050;SKEXP0110</NoWarn> | ||
| </PropertyGroup> | ||
|
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| <ItemGroup> | ||
| <ProjectReference Include="..\..\src\AutoGen.DotnetInteractive\AutoGen.DotnetInteractive.csproj" /> | ||
| <ProjectReference Include="..\..\src\AutoGen.Ollama\AutoGen.Ollama.csproj" /> | ||
| <ProjectReference Include="..\..\src\AutoGen.SourceGenerator\AutoGen.SourceGenerator.csproj" OutputItemType="Analyzer" ReferenceOutputAssembly="false" /> | ||
| <ProjectReference Include="..\..\src\AutoGen\AutoGen.csproj" /> | ||
| <PackageReference Include="FluentAssertions" Version="$(FluentAssertionVersion)" /> | ||
| </ItemGroup> | ||
|
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| <ItemGroup> | ||
| <None Update="images\*.png"> | ||
| <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> | ||
| </None> | ||
| </ItemGroup> | ||
|
|
||
| </Project> |
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|---|---|---|
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| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Chat_With_LLaMA.cs | ||
|
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| using AutoGen.Core; | ||
| using AutoGen.Ollama.Extension; | ||
|
|
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| namespace AutoGen.Ollama.Sample; | ||
|
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| public class Chat_With_LLaMA | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| using var httpClient = new HttpClient() | ||
| { | ||
| BaseAddress = new Uri("https://2xbvtxd1-11434.usw2.devtunnels.ms") | ||
| }; | ||
|
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| var ollamaAgent = new OllamaAgent( | ||
| httpClient: httpClient, | ||
| name: "ollama", | ||
| modelName: "llama3:latest", | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMessageConnector() | ||
| .RegisterPrintMessage(); | ||
|
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| var reply = await ollamaAgent.SendAsync("Can you write a piece of C# code to calculate 100th of fibonacci?"); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,40 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Chat_With_LLaVA.cs | ||
|
|
||
| using AutoGen.Core; | ||
| using AutoGen.Ollama.Extension; | ||
|
|
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| namespace AutoGen.Ollama.Sample; | ||
|
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| public class Chat_With_LLaVA | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| using var httpClient = new HttpClient() | ||
| { | ||
| BaseAddress = new Uri("https://2xbvtxd1-11434.usw2.devtunnels.ms") | ||
| }; | ||
|
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| var ollamaAgent = new OllamaAgent( | ||
| httpClient: httpClient, | ||
| name: "ollama", | ||
| modelName: "llava:latest", | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMessageConnector() | ||
| .RegisterPrintMessage(); | ||
|
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| var image = Path.Combine("images", "background.png"); | ||
| var binaryData = BinaryData.FromBytes(File.ReadAllBytes(image), "image/png"); | ||
| var imageMessage = new ImageMessage(Role.User, binaryData); | ||
| var textMessage = new TextMessage(Role.User, "what's in this image?"); | ||
| var reply = await ollamaAgent.SendAsync(chatHistory: [textMessage, imageMessage]); | ||
|
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| // You can also use MultiModalMessage to put text and image together in one message | ||
| // In this case, all the messages in the multi-modal message will be put into single piece of message | ||
| // where the text is the concatenation of all the text messages seperated by \n | ||
| // and the images are all the images in the multi-modal message | ||
| var multiModalMessage = new MultiModalMessage(Role.User, [textMessage, imageMessage]); | ||
|
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| reply = await ollamaAgent.SendAsync(chatHistory: [multiModalMessage]); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Program.cs | ||
|
|
||
| using AutoGen.Ollama.Sample; | ||
|
|
||
| await Chat_With_LLaVA.RunAsync(); |
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17 changes: 17 additions & 0 deletions
17
dotnet/sample/AutoGen.SemanticKernel.Sample/AutoGen.SemanticKernel.Sample.csproj
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,17 @@ | ||
| <Project Sdk="Microsoft.NET.Sdk"> | ||
|
|
||
| <PropertyGroup> | ||
| <OutputType>Exe</OutputType> | ||
| <TargetFramework>$(TestTargetFramework)</TargetFramework> | ||
| <GenerateDocumentationFile>True</GenerateDocumentationFile> | ||
| <NoWarn>$(NoWarn);CS8981;CS8600;CS8602;CS8604;CS8618;CS0219;SKEXP0054;SKEXP0050;SKEXP0110</NoWarn> | ||
| <ImplicitUsings>enable</ImplicitUsings> | ||
| </PropertyGroup> | ||
|
|
||
| <ItemGroup> | ||
| <ProjectReference Include="..\..\src\AutoGen.SourceGenerator\AutoGen.SourceGenerator.csproj" OutputItemType="Analyzer" ReferenceOutputAssembly="false" /> | ||
| <ProjectReference Include="..\AutoGen.BasicSamples\AutoGen.BasicSample.csproj" /> | ||
| <PackageReference Include="Microsoft.SemanticKernel.Plugins.Web" Version="$(SemanticKernelExperimentalVersion)" /> | ||
| </ItemGroup> | ||
|
|
||
| </Project> |
29 changes: 29 additions & 0 deletions
29
dotnet/sample/AutoGen.SemanticKernel.Sample/Create_Semantic_Kernel_Agent.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,29 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Create_Semantic_Kernel_Agent.cs | ||
|
|
||
| using AutoGen.Core; | ||
| using AutoGen.SemanticKernel.Extension; | ||
| using Microsoft.SemanticKernel; | ||
|
|
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| namespace AutoGen.SemanticKernel.Sample; | ||
|
|
||
| public class Create_Semantic_Kernel_Agent | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable."); | ||
| var modelId = "gpt-3.5-turbo"; | ||
| var kernel = Kernel.CreateBuilder() | ||
| .AddOpenAIChatCompletion(modelId: modelId, apiKey: openAIKey) | ||
| .Build(); | ||
|
|
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| var skAgent = new SemanticKernelAgent( | ||
| kernel: kernel, | ||
| name: "assistant", | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMessageConnector() // register message connector so it support AutoGen built-in message types like TextMessage. | ||
| .RegisterPrintMessage(); // pretty print the message to the console | ||
|
|
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| await skAgent.SendAsync("Hey tell me a long tedious joke"); | ||
| } | ||
| } |
35 changes: 35 additions & 0 deletions
35
dotnet/sample/AutoGen.SemanticKernel.Sample/Create_Semantic_Kernel_Chat_Agent.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Create_Semantic_Kernel_Chat_Agent.cs | ||
|
|
||
| using AutoGen.Core; | ||
| using Microsoft.SemanticKernel; | ||
| using Microsoft.SemanticKernel.Agents; | ||
|
|
||
| namespace AutoGen.SemanticKernel.Sample; | ||
|
|
||
| public class Create_Semantic_Kernel_Chat_Agent | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable."); | ||
| var modelId = "gpt-3.5-turbo"; | ||
| var kernel = Kernel.CreateBuilder() | ||
| .AddOpenAIChatCompletion(modelId: modelId, apiKey: openAIKey) | ||
| .Build(); | ||
|
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||
| // The built-in ChatCompletionAgent from semantic kernel. | ||
| var chatAgent = new ChatCompletionAgent() | ||
| { | ||
| Kernel = kernel, | ||
| Name = "assistant", | ||
| Description = "You are a helpful AI assistant", | ||
| }; | ||
|
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| var messageConnector = new SemanticKernelChatMessageContentConnector(); | ||
| var skAgent = new SemanticKernelChatCompletionAgent(chatAgent) | ||
| .RegisterMiddleware(messageConnector) // register message connector so it support AutoGen built-in message types like TextMessage. | ||
| .RegisterPrintMessage(); // pretty print the message to the console | ||
|
|
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| await skAgent.SendAsync("Hey tell me a long tedious joke"); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Program.cs | ||
|
|
||
| using AutoGen.SemanticKernel.Sample; | ||
|
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| await Use_Kernel_Functions_With_Other_Agent.RunAsync(); |
37 changes: 37 additions & 0 deletions
37
dotnet/sample/AutoGen.SemanticKernel.Sample/Use_Bing_Search_With_Semantic_Kernel_Agent.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,37 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Use_Bing_Search_With_Semantic_Kernel_Agent.cs | ||
|
|
||
| using AutoGen.Core; | ||
| using AutoGen.SemanticKernel.Extension; | ||
| using Microsoft.SemanticKernel; | ||
| using Microsoft.SemanticKernel.Plugins.Web; | ||
| using Microsoft.SemanticKernel.Plugins.Web.Bing; | ||
|
|
||
| namespace AutoGen.SemanticKernel.Sample; | ||
|
|
||
| public class Use_Bing_Search_With_Semantic_Kernel_Agent | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| var bingApiKey = Environment.GetEnvironmentVariable("BING_API_KEY") ?? throw new Exception("BING_API_KEY environment variable is not set"); | ||
| var bingSearch = new BingConnector(bingApiKey); | ||
| var webSearchPlugin = new WebSearchEnginePlugin(bingSearch); | ||
|
|
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| var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable."); | ||
| var modelId = "gpt-3.5-turbo"; | ||
| var kernelBuilder = Kernel.CreateBuilder() | ||
| .AddOpenAIChatCompletion(modelId: modelId, apiKey: openAIKey); | ||
| kernelBuilder.Plugins.AddFromObject(webSearchPlugin); | ||
|
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| var kernel = kernelBuilder.Build(); | ||
|
|
||
| var skAgent = new SemanticKernelAgent( | ||
| kernel: kernel, | ||
| name: "assistant", | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMessageConnector() // register message connector so it support AutoGen built-in message types like TextMessage. | ||
| .RegisterPrintMessage(); // pretty print the message to the console | ||
|
|
||
| await skAgent.SendAsync("Tell me more about gpt-4-o"); | ||
| } | ||
| } |
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