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Co-authored-by: Jack Gerrits <jack@jackgerrits.com> Co-authored-by: Ryan Sweet <rysweet@microsoft.com>
53 lines
2.9 KiB
Markdown
53 lines
2.9 KiB
Markdown
This tutorial shows how to generate response using an @AutoGen.Core.IAgent by taking @AutoGen.OpenAI.OpenAIChatAgent as an example.
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> [!NOTE]
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> AutoGen.Net provides the following agents to connect to different LLM platforms. Generating responses using these agents is similar to the example shown below.
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> - @AutoGen.OpenAI.OpenAIChatAgent
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> - @AutoGen.SemanticKernel.SemanticKernelAgent
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> - @AutoGen.LMStudio.LMStudioAgent
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> - @AutoGen.Mistral.MistralClientAgent
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> - @AutoGen.Anthropic.AnthropicClientAgent
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> - @AutoGen.Ollama.OllamaAgent
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> - @AutoGen.Gemini.GeminiChatAgent
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> [!NOTE]
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> The complete code example can be found in [Chat_With_Agent.cs](https://github.com/microsoft/autogen/blob/main/dotnet/samples/AgentChat/Autogen.Basic.Sample/GettingStart/Chat_With_Agent.cs)
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## Step 1: Install AutoGen
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First, install the AutoGen package using the following command:
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```bash
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dotnet add package AutoGen
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```
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## Step 2: add Using Statements
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[!code-csharp[Using Statements](../../samples/AgentChat/Autogen.Basic.Sample/GettingStart/Chat_With_Agent.cs?name=Using)]
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## Step 3: Create an @AutoGen.OpenAI.OpenAIChatAgent
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> [!NOTE]
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> 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.
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> For more information, see [Built-in-messages](../articles/Built-in-messages.md)
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[!code-csharp[Create an OpenAIChatAgent](../../samples/AgentChat/Autogen.Basic.Sample/GettingStart/Chat_With_Agent.cs?name=Create_Agent)]
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## Step 4: Generate Response
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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:
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[!code-csharp[Generate Response](../../samples/AgentChat/Autogen.Basic.Sample/GettingStart/Chat_With_Agent.cs?name=Chat_With_Agent)]
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To generate response with chat history, you can pass the chat history to the @AutoGen.Core.AgentExtension.SendAsync* method:
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[!code-csharp[Generate Response with Chat History](../../samples/AgentChat/Autogen.Basic.Sample/GettingStart/Chat_With_Agent.cs?name=Chat_With_History)]
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To streamingly generate response, use @AutoGen.Core.IStreamingAgent.GenerateStreamingReplyAsync*
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[!code-csharp[Generate Streaming Response](../../samples/AgentChat/Autogen.Basic.Sample/GettingStart/Chat_With_Agent.cs?name=Streaming_Chat)]
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## Further Reading
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- [Chat with google gemini](../articles/AutoGen.Gemini/Chat-with-google-gemini.md)
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- [Chat with vertex gemini](../articles/AutoGen.Gemini/Chat-with-vertex-gemini.md)
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- [Chat with Ollama](../articles/AutoGen.Ollama/Chat-with-llama.md)
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- [Chat with Semantic Kernel Agent](../articles/AutoGen.SemanticKernel/SemanticKernelAgent-simple-chat.md) |