autogen/dotnet

AutoGen for .NET

Thre are two sets of packages here: Autogen.* the older packages derived from Autogen 0.2 for .NET - these will gradually be deprecated and ported into the new packages Microsoft.AutoGen.* the new packages for .NET that use the event-driven model - These APIs are not yet stable and are subject to change.

To get started with the new packages, please see the samples and in particular the Hello sample.

The remaining content is for the older Autogen.* packages.

Note

Nightly build is available at:

• : https://nuget.pkg.github.com/microsoft/index.json
• : https://www.myget.org/F/agentchat/api/v3/index.json
• : https://devdiv.pkgs.visualstudio.com/DevDiv/_packaging/AutoGen/nuget/v3/index.json

Firstly, following the installation guide to install AutoGen packages.

Then you can start with the following code snippet to create a conversable agent and chat with it.

using AutoGen;
using AutoGen.OpenAI;

var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable.");
var gpt35Config = new OpenAIConfig(openAIKey, "gpt-3.5-turbo");

var assistantAgent = new AssistantAgent(
    name: "assistant",
    systemMessage: "You are an assistant that help user to do some tasks.",
    llmConfig: new ConversableAgentConfig
    {
        Temperature = 0,
        ConfigList = [gpt35Config],
    })
    .RegisterPrintMessage(); // register a hook to print message nicely to console

// set human input mode to ALWAYS so that user always provide input
var userProxyAgent = new UserProxyAgent(
    name: "user",
    humanInputMode: ConversableAgent.HumanInputMode.ALWAYS)
    .RegisterPrintMessage();

// start the conversation
await userProxyAgent.InitiateChatAsync(
    receiver: assistantAgent,
    message: "Hey assistant, please do me a favor.",
    maxRound: 10);

Samples

You can find more examples under the sample project.

Functionality

• ConversableAgent

  • function call
  • code execution (dotnet only, powered by dotnet-interactive)

• Agent communication

  • Two-agent chat
  • Group chat

• Enhanced LLM Inferences

• Exclusive for dotnet

  • Source generator for type-safe function definition generation