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* add getting start sample project * update * update * revert change
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80 changes: 80 additions & 0 deletions
80
dotnet/sample/AutoGen.BasicSamples/GettingStart/Agent_Middleware.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,80 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Agent_Middleware.cs | ||
|
|
||
| #region Using | ||
| using AutoGen.Core; | ||
| using AutoGen.OpenAI; | ||
| using AutoGen.OpenAI.Extension; | ||
| using Azure.AI.OpenAI; | ||
| #endregion Using | ||
| using FluentAssertions; | ||
|
|
||
| namespace AutoGen.BasicSample; | ||
|
|
||
| public class Agent_Middleware | ||
| { | ||
| public static async Task RunTokenCountAsync() | ||
| { | ||
| #region Create_Agent | ||
| var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("Please set the environment variable OPENAI_API_KEY"); | ||
| var model = "gpt-3.5-turbo"; | ||
| var openaiClient = new OpenAIClient(apiKey); | ||
| var openaiMessageConnector = new OpenAIChatRequestMessageConnector(); | ||
| var totalTokenCount = 0; | ||
| var agent = new OpenAIChatAgent( | ||
| openAIClient: openaiClient, | ||
| name: "agent", | ||
| modelName: model, | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMiddleware(async (messages, option, innerAgent, ct) => | ||
| { | ||
| var reply = await innerAgent.GenerateReplyAsync(messages, option, ct); | ||
| if (reply is MessageEnvelope<ChatCompletions> chatCompletions) | ||
| { | ||
| var tokenCount = chatCompletions.Content.Usage.TotalTokens; | ||
| totalTokenCount += tokenCount; | ||
| } | ||
| return reply; | ||
| }) | ||
| .RegisterMiddleware(openaiMessageConnector); | ||
| #endregion Create_Agent | ||
|
|
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| #region Chat_With_Agent | ||
| var reply = await agent.SendAsync("Tell me a joke"); | ||
| Console.WriteLine($"Total token count: {totalTokenCount}"); | ||
| #endregion Chat_With_Agent | ||
|
|
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| #region verify_reply | ||
| reply.Should().BeOfType<TextMessage>(); | ||
| totalTokenCount.Should().BeGreaterThan(0); | ||
| #endregion verify_reply | ||
| } | ||
|
|
||
| public static async Task RunRagTaskAsync() | ||
| { | ||
| #region Create_Agent | ||
| var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("Please set the environment variable OPENAI_API_KEY"); | ||
| var model = "gpt-3.5-turbo"; | ||
| var openaiClient = new OpenAIClient(apiKey); | ||
| var openaiMessageConnector = new OpenAIChatRequestMessageConnector(); | ||
| var agent = new OpenAIChatAgent( | ||
| openAIClient: openaiClient, | ||
| name: "agent", | ||
| modelName: model, | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMessageConnector() | ||
| .RegisterMiddleware(async (messages, option, innerAgent, ct) => | ||
| { | ||
| var today = DateTime.UtcNow; | ||
| var todayMessage = new TextMessage(Role.System, $"Today is {today:yyyy-MM-dd}"); | ||
| messages = messages.Concat(new[] { todayMessage }); | ||
| return await innerAgent.GenerateReplyAsync(messages, option, ct); | ||
| }) | ||
| .RegisterPrintMessage(); | ||
| #endregion Create_Agent | ||
|
|
||
| #region Chat_With_Agent | ||
| var reply = await agent.SendAsync("what's the date today"); | ||
| #endregion Chat_With_Agent | ||
| } | ||
| } |
59 changes: 59 additions & 0 deletions
59
dotnet/sample/AutoGen.BasicSamples/GettingStart/Chat_With_Agent.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Chat_With_Agent.cs | ||
|
|
||
| #region Using | ||
| using AutoGen.Core; | ||
| using AutoGen.OpenAI; | ||
| using AutoGen.OpenAI.Extension; | ||
| using Azure.AI.OpenAI; | ||
| #endregion Using | ||
|
|
||
| using FluentAssertions; | ||
|
|
||
| namespace AutoGen.BasicSample; | ||
|
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| public class Chat_With_Agent | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| #region Create_Agent | ||
| var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable."); | ||
| var model = "gpt-3.5-turbo"; | ||
| var openaiClient = new OpenAIClient(apiKey); | ||
| var agent = new OpenAIChatAgent( | ||
| openAIClient: openaiClient, | ||
| name: "agent", | ||
| modelName: model, | ||
| systemMessage: "You are a helpful AI assistant") | ||
| .RegisterMessageConnector(); // convert OpenAI message to AutoGen message | ||
| #endregion Create_Agent | ||
|
|
||
| #region Chat_With_Agent | ||
| var reply = await agent.SendAsync("Tell me a joke"); | ||
| reply.Should().BeOfType<TextMessage>(); | ||
| if (reply is TextMessage textMessage) | ||
| { | ||
| Console.WriteLine(textMessage.Content); | ||
| } | ||
| #endregion Chat_With_Agent | ||
|
|
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| #region Chat_With_History | ||
| reply = await agent.SendAsync("summarize the conversation", chatHistory: [reply]); | ||
| #endregion Chat_With_History | ||
|
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| #region Streaming_Chat | ||
| var question = new TextMessage(Role.User, "Tell me a long joke"); | ||
| await foreach (var streamingReply in agent.GenerateStreamingReplyAsync([question])) | ||
| { | ||
| if (streamingReply is TextMessageUpdate textMessageUpdate) | ||
| { | ||
| Console.WriteLine(textMessageUpdate.Content); | ||
| } | ||
| } | ||
| #endregion Streaming_Chat | ||
|
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| #region verify_reply | ||
| reply.Should().BeOfType<TextMessage>(); | ||
| #endregion verify_reply | ||
| } | ||
| } |
91 changes: 91 additions & 0 deletions
91
dotnet/sample/AutoGen.BasicSamples/GettingStart/Dynamic_Group_Chat.cs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,91 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Dynamic_GroupChat.cs | ||
|
|
||
| using AutoGen.Core; | ||
| using AutoGen.OpenAI; | ||
| using AutoGen.OpenAI.Extension; | ||
| using AutoGen.SemanticKernel; | ||
| using AutoGen.SemanticKernel.Extension; | ||
| using Azure.AI.OpenAI; | ||
| using Microsoft.SemanticKernel; | ||
|
|
||
| namespace AutoGen.BasicSample; | ||
|
|
||
| public class Dynamic_Group_Chat | ||
| { | ||
| public static async Task RunAsync() | ||
| { | ||
| var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable."); | ||
| var model = "gpt-3.5-turbo"; | ||
|
|
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| #region Create_Coder | ||
| var openaiClient = new OpenAIClient(apiKey); | ||
| var coder = new OpenAIChatAgent( | ||
| openAIClient: openaiClient, | ||
| name: "coder", | ||
| modelName: model, | ||
| systemMessage: "You are a C# coder, when writing csharp code, please put the code between ```csharp and ```") | ||
| .RegisterMessageConnector() // convert OpenAI message to AutoGen message | ||
| .RegisterPrintMessage(); // print the message content | ||
| #endregion Create_Coder | ||
|
|
||
| #region Create_Commenter | ||
| var kernel = Kernel | ||
| .CreateBuilder() | ||
| .AddOpenAIChatCompletion(modelId: model, apiKey: apiKey) | ||
| .Build(); | ||
| var commenter = new SemanticKernelAgent( | ||
| kernel: kernel, | ||
| name: "commenter", | ||
| systemMessage: "You write inline comments for the code snippet and add unit tests if necessary") | ||
| .RegisterMessageConnector() // register message connector so it support AutoGen built-in message types like TextMessage. | ||
| .RegisterPrintMessage(); // pretty print the message to the console | ||
| #endregion Create_Commenter | ||
|
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| #region Create_UserProxy | ||
| var userProxy = new DefaultReplyAgent("user", defaultReply: "END") | ||
| .RegisterPrintMessage(); // print the message content | ||
| #endregion Create_UserProxy | ||
|
|
||
| #region Create_Group | ||
| var admin = new OpenAIChatAgent( | ||
| openAIClient: openaiClient, | ||
| name: "admin", | ||
| modelName: model) | ||
| .RegisterMessageConnector(); // convert OpenAI message to AutoGen message | ||
|
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| var group = new GroupChat( | ||
| members: [coder, commenter, userProxy], | ||
| admin: admin); | ||
| #endregion Create_Group | ||
|
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| #region Chat_With_Group | ||
| var workflowInstruction = new TextMessage( | ||
| Role.User, | ||
| """ | ||
| Here is the workflow of this group chat: | ||
| User{Ask a question} -> Coder{Write code} | ||
| Coder{Write code} -> Commenter{Add comments to the code} | ||
| Commenter{Add comments to the code} -> User{END} | ||
| """); | ||
|
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| var question = new TextMessage(Role.User, "How to calculate the 100th Fibonacci number?"); | ||
| var chatHistory = new List<IMessage> { workflowInstruction, question }; | ||
| while (true) | ||
| { | ||
| var replies = await group.CallAsync(chatHistory, maxRound: 1); | ||
| var lastReply = replies.Last(); | ||
| chatHistory.Add(lastReply); | ||
|
|
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| if (lastReply.From == userProxy.Name) | ||
| { | ||
| break; | ||
| } | ||
| } | ||
| #endregion Chat_With_Group | ||
|
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| #region Summarize_Chat_History | ||
| var summary = await coder.SendAsync("summarize the conversation", chatHistory: chatHistory); | ||
| #endregion Summarize_Chat_History | ||
| } | ||
| } |
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