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This tutorial shows how to generate response using an @AutoGen.Core.IAgent by taking @AutoGen.OpenAI.OpenAIChatAgent as an example.
[!NOTE] AutoGen.Net provides the following agents to connect to different LLM platforms. Generating responses using these agents is similar to the example shown below.
- @AutoGen.OpenAI.OpenAIChatAgent
- @AutoGen.SemanticKernel.SemanticKernelAgent
- @AutoGen.LMStudio.LMStudioAgent
- @AutoGen.Mistral.MistralClientAgent
- @AutoGen.Anthropic.AnthropicClientAgent
- @AutoGen.Ollama.OllamaAgent
- @AutoGen.Gemini.GeminiChatAgent
[!NOTE] The complete code example can be found in Chat_With_Agent.cs
Step 1: Install AutoGen
First, install the AutoGen package using the following command:
dotnet add package AutoGen
Step 2: add Using Statements
[!code-csharpUsing Statements]
Step 3: Create an @AutoGen.OpenAI.OpenAIChatAgent
[!NOTE] The @AutoGen.OpenAI.Extension.OpenAIAgentExtension.RegisterMessageConnector* method registers an @AutoGen.OpenAI.OpenAIChatRequestMessageConnector middleware which converts OpenAI message types to AutoGen message types. This step is necessary when you want to use AutoGen built-in message types like @AutoGen.Core.TextMessage, @AutoGen.Core.ImageMessage, etc. For more information, see Built-in-messages
[!code-csharpCreate an OpenAIChatAgent]
Step 4: Generate Response
To generate response, you can use one of the overloaded method of @AutoGen.Core.AgentExtension.SendAsync* method. The following code shows how to generate response with text message:
[!code-csharpGenerate Response]
To generate response with chat history, you can pass the chat history to the @AutoGen.Core.AgentExtension.SendAsync* method:
[!code-csharpGenerate Response with Chat History]
To streamingly generate response, use @AutoGen.Core.IStreamingAgent.GenerateStreamingReplyAsync*
[!code-csharpGenerate Streaming Response]