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GitHub | autogen | autogen/dotnet/website/articles/Create-your-own-middleware.md | autogen | ## Coming soon |
GitHub | autogen | autogen/dotnet/website/articles/Function-call-middleware.md | autogen | # Coming soon |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-support-more-messages.md | autogen | By default, @AutoGen.OpenAI.OpenAIChatAgent only supports the @AutoGen.Core.IMessage<T> type where `T` is original request or response message from `Azure.AI.OpenAI`. To support more AutoGen built-in message types like @AutoGen.Core.TextMessage, @AutoGen.Core.ImageMessage, @AutoGen.Core.MultiModalMessage and so on, you... |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-connect-to-third-party-api.md | autogen | The following example shows how to connect to third-party OpenAI API using @AutoGen.OpenAI.OpenAIChatAgent. [](https://github.com/microsoft/autogen/blob/main/dotnet/sample/AutoGen.OpenAI.Sample/Connect_To_Ollama.cs) |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-connect-to-third-party-api.md | autogen | Overview A lot of LLM applications/platforms support spinning up a chat server that is compatible with OpenAI API, such as LM Studio, Ollama, Mistral etc. This means that you can connect to these servers using the @AutoGen.OpenAI.OpenAIChatAgent. > [!NOTE] > Some platforms might not support all the features of OpenAI ... |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-connect-to-third-party-api.md | autogen | Prerequisites - Install the following packages: ```bash dotnet add package AutoGen.OpenAI --version AUTOGEN_VERSION ``` - Spin up a chat server that is compatible with OpenAI API. The following example uses Ollama as the chat server, and llama3 as the llm model. ```bash ollama serve ``` |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-connect-to-third-party-api.md | autogen | Steps - Import the required namespaces: [!code-csharp[](../../sample/AutoGen.OpenAI.Sample/Connect_To_Ollama.cs?name=using_statement)] - Create a `CustomHttpClientHandler` class. The `CustomHttpClientHandler` class is used to customize the HttpClientHandler. In this example, we override the `SendAsync` method to redi... |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-connect-to-third-party-api.md | autogen | Sample Output The following is the sample output of the code snippet above:  |
GitHub | autogen | autogen/dotnet/website/articles/getting-start.md | autogen | ### Get start with AutoGen for dotnet [](https://github.com/microsoft/autogen/actions/workflows/dotnet-build.yml) [](https://discord.gg/pAb... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen-OpenAI-Overview.md | autogen | ## AutoGen.OpenAI Overview AutoGen.OpenAI provides the following agents over openai models: - @AutoGen.OpenAI.OpenAIChatAgent: A slim wrapper agent over `OpenAIClient`. This agent only support `IMessage<ChatRequestMessage>` message type. To support more message types like @AutoGen.Core.TextMessage, register the agent ... |
GitHub | autogen | autogen/dotnet/website/articles/Create-type-safe-function-call.md | autogen | ## Type-safe function call `AutoGen` provides a source generator to easness the trouble of manually craft function definition and function call wrapper from a function. To use this feature, simply add the `AutoGen.SourceGenerator` package to your project and decorate your function with @AutoGen.Core.FunctionAttribute.... |
GitHub | autogen | autogen/dotnet/website/articles/Create-an-agent.md | autogen | ## AssistantAgent [`AssistantAgent`](../api/AutoGen.AssistantAgent.yml) is a built-in agent in `AutoGen` that acts as an AI assistant. It uses LLM to generate response to user input. It also supports function call if the underlying LLM model supports it (e.g. `gpt-3.5-turbo-0613`). |
GitHub | autogen | autogen/dotnet/website/articles/Create-an-agent.md | autogen | Create an `AssistantAgent` using OpenAI model. [!code-csharp[](../../sample/AutoGen.BasicSamples/CodeSnippet/CreateAnAgent.cs?name=code_snippet_1)] |
GitHub | autogen | autogen/dotnet/website/articles/Create-an-agent.md | autogen | Create an `AssistantAgent` using Azure OpenAI model. [!code-csharp[](../../sample/AutoGen.BasicSamples/CodeSnippet/CreateAnAgent.cs?name=code_snippet_2)] |
GitHub | autogen | autogen/dotnet/website/articles/Print-message-middleware.md | autogen | @AutoGen.Core.PrintMessageMiddleware is a built-in @AutoGen.Core.IMiddleware that pretty print @AutoGen.Core.IMessage to console. > [!NOTE] > @AutoGen.Core.PrintMessageMiddleware support the following @AutoGen.Core.IMessage types: > - @AutoGen.Core.TextMessage > - @AutoGen.Core.MultiModalMessage > - @AutoGen.Core.Tool... |
GitHub | autogen | autogen/dotnet/website/articles/Print-message-middleware.md | autogen | Use @AutoGen.Core.PrintMessageMiddleware in an agent You can use @AutoGen.Core.PrintMessageMiddlewareExtension.RegisterPrintMessage* to register the @AutoGen.Core.PrintMessageMiddleware to an agent. [!code-csharp[](../../sample/AutoGen.BasicSamples/CodeSnippet/PrintMessageMiddlewareCodeSnippet.cs?name=PrintMessageMidd... |
GitHub | autogen | autogen/dotnet/website/articles/Print-message-middleware.md | autogen | Streaming message support @AutoGen.Core.PrintMessageMiddleware also supports streaming message types like @AutoGen.Core.TextMessageUpdate and @AutoGen.Core.ToolCallMessageUpdate. If you register @AutoGen.Core.PrintMessageMiddleware to a @AutoGen.Core.IStreamingAgent, it will format the streaming message and print it t... |
GitHub | autogen | autogen/dotnet/website/articles/MistralChatAgent-count-token-usage.md | autogen | The following example shows how to create a `MistralAITokenCounterMiddleware` @AutoGen.Core.IMiddleware and count the token usage when chatting with @AutoGen.Mistral.MistralClientAgent. ### Overview To collect the token usage for the entire chat session, one easy solution is simply collect all the responses from agent... |
GitHub | autogen | autogen/dotnet/website/articles/OpenAIChatAgent-simple-chat.md | autogen | The following example shows how to create an @AutoGen.OpenAI.OpenAIChatAgent and chat with it. Firsly, import the required namespaces: [!code-csharp[](../../sample/AutoGen.BasicSamples/CodeSnippet/OpenAICodeSnippet.cs?name=using_statement)] Then, create an @AutoGen.OpenAI.OpenAIChatAgent and chat with it: [!code-csha... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Ollama/Chat-with-llava.md | autogen | This sample shows how to use @AutoGen.Ollama.OllamaAgent to chat with LLaVA model. To run this example, you need to have an Ollama server running aside and have `llava:latest` model installed. For how to setup an Ollama server, please refer to [Ollama](https://ollama.com/). > [!NOTE] > You can find the complete sampl... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Ollama/Chat-with-llama.md | autogen | This example shows how to use @AutoGen.Ollama.OllamaAgent to connect to Ollama server and chat with LLaVA model. To run this example, you need to have an Ollama server running aside and have `llama3:latest` model installed. For how to setup an Ollama server, please refer to [Ollama](https://ollama.com/). > [!NOTE] > ... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.SemanticKernel/Use-kernel-plugin-in-other-agents.md | autogen | In semantic kernel, a kernel plugin is a collection of kernel functions that can be invoked during LLM calls. Semantic kernel provides a list of built-in plugins, like [core plugins](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/src/Plugins/Plugins.Core), [web search plugin](https://github.com/microsoft... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.SemanticKernel/SemanticKernelChatAgent-simple-chat.md | autogen | `AutoGen.SemanticKernel` provides built-in support for `ChatCompletionAgent` via @AutoGen.SemanticKernel.SemanticKernelChatCompletionAgent. By default the @AutoGen.SemanticKernel.SemanticKernelChatCompletionAgent only supports the original `ChatMessageContent` type via `IMessage<ChatMessageContent>`. To support more Au... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.SemanticKernel/SemanticKernelAgent-simple-chat.md | autogen | You can chat with @AutoGen.SemanticKernel.SemanticKernelAgent using both streaming and non-streaming methods and use native `ChatMessageContent` type via `IMessage<ChatMessageContent>`. The following example shows how to create an @AutoGen.SemanticKernel.SemanticKernelAgent and chat with it using non-streaming method:... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.SemanticKernel/AutoGen-SemanticKernel-Overview.md | autogen | ## AutoGen.SemanticKernel Overview AutoGen.SemanticKernel is a package that provides seamless integration with Semantic Kernel. It provides the following agents: - @AutoGen.SemanticKernel.SemanticKernelAgent: A slim wrapper agent over `Kernel` that only support original `ChatMessageContent` type via `IMessage<ChatMess... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.SemanticKernel/SemanticKernelAgent-support-more-messages.md | autogen | @AutoGen.SemanticKernel.SemanticKernelAgent only supports the original `ChatMessageContent` type via `IMessage<ChatMessageContent>`. To support more AutoGen built-in message types like @AutoGen.Core.TextMessage, @AutoGen.Core.ImageMessage, @AutoGen.Core.MultiModalMessage, you can register the agent with @AutoGen.Semant... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Gemini/Overview.md | autogen | # AutoGen.Gemini Overview AutoGen.Gemini is a package that provides seamless integration with Google Gemini. It provides the following agent: - @AutoGen.Gemini.GeminiChatAgent: The agent that connects to Google Gemini or Vertex AI Gemini. It supports chat, multi-modal chat, and function call. AutoGen.Gemini also pro... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Gemini/Overview.md | autogen | Examples You can find more examples under the [gemini sample project](https://github.com/microsoft/autogen/tree/main/dotnet/sample/AutoGen.Gemini.Sample) |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Gemini/Chat-with-google-gemini.md | autogen | This example shows how to use @AutoGen.Gemini.GeminiChatAgent to connect to Google AI Gemini and chat with Gemini model. To run this example, you need to have a Google AI Gemini API key. For how to get a Google Gemini API key, please refer to [Google Gemini](https://gemini.google.com/). > [!NOTE] > You can find the c... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Gemini/Image-chat-with-gemini.md | autogen | This example shows how to use @AutoGen.Gemini.GeminiChatAgent for image chat with Gemini model. To run this example, you need to have a project on Google Cloud with access to Vertex AI API. For more information please refer to [Google Vertex AI](https://cloud.google.com/vertex-ai/docs). > [!NOTE] > You can find the ... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Gemini/Function-call-with-gemini.md | autogen | This example shows how to use @AutoGen.Gemini.GeminiChatAgent to make function call. This example is modified from [gemini-api function call example](https://ai.google.dev/gemini-api/docs/function-calling) To run this example, you need to have a project on Google Cloud with access to Vertex AI API. For more informatio... |
GitHub | autogen | autogen/dotnet/website/articles/AutoGen.Gemini/Chat-with-vertex-gemini.md | autogen | This example shows how to use @AutoGen.Gemini.GeminiChatAgent to connect to Vertex AI Gemini API and chat with Gemini model. To run this example, you need to have a project on Google Cloud with access to Vertex AI API. For more information please refer to [Google Vertex AI](https://cloud.google.com/vertex-ai/docs). >... |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | This tutorial shows how to use AutoGen.Net agent as model in AG Studio |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | Step 1. Create Dotnet empty web app and install AutoGen and AutoGen.WebAPI package ```bash dotnet new web dotnet add package AutoGen dotnet add package AutoGen.WebAPI ``` |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | Step 2. Replace the Program.cs with following code ```bash using AutoGen.Core; using AutoGen.Service; var builder = WebApplication.CreateBuilder(args); var app = builder.Build(); var helloWorldAgent = new HelloWorldAgent(); app.UseAgentAsOpenAIChatCompletionEndpoint(helloWorldAgent); app.Run(); class HelloWorldAge... |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | Step 3: Start the web app Run the following command to start web api ```bash dotnet RUN ``` The web api will listen at `http://localhost:5264/v1/chat/completion  |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | Step 4: In another terminal, start autogen-studio ```bash autogenstudio ui ``` |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | Step 5: Navigate to AutoGen Studio UI and add hello world agent as openai Model ### Step 5.1: Go to model tab  ### Step 5.2: Select "OpenAI model" card   |
GitHub | autogen | autogen/dotnet/website/tutorial/Use-AutoGen.Net-agent-as-model-in-AG-Studio.md | autogen | Final Step: Use the hello world agent in workflow   ] |
GitHub | autogen | autogen/dotnet/website/tutorial/Image-chat-with-agent.md | autogen | Step 3: Create an @AutoGen.OpenAI.OpenAIChatAgent [!code-csharp[Create an OpenAIChatAgent](../../sample/AutoGen.BasicSamples/GettingStart/Image_Chat_With_Agent.cs?name=Create_Agent)] |
GitHub | autogen | autogen/dotnet/website/tutorial/Image-chat-with-agent.md | autogen | Step 4: Prepare Image Message In AutoGen, you can create an image message using either @AutoGen.Core.ImageMessage or @AutoGen.Core.MultiModalMessage. The @AutoGen.Core.ImageMessage takes a single image as input, whereas the @AutoGen.Core.MultiModalMessage allows you to pass multiple modalities like text or image. Her... |
GitHub | autogen | autogen/dotnet/website/tutorial/Image-chat-with-agent.md | autogen | Step 5: Generate Response To generate response, you can use one of the overloaded methods of @AutoGen.Core.AgentExtension.SendAsync* method. The following code shows how to generate response with an image message: [!code-csharp[Generate Response](../../sample/AutoGen.BasicSamples/GettingStart/Image_Chat_With_Agent.cs... |
GitHub | autogen | autogen/dotnet/website/tutorial/Image-chat-with-agent.md | autogen | Further Reading - [Image chat with gemini](../articles/AutoGen.Gemini/Image-chat-with-gemini.md) - [Image chat with llava](../articles/AutoGen.Ollama/Chat-with-llava.md) |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | This tutorial shows how to use tools in an agent. |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | What is tool Tools are pre-defined functions in user's project that agent can invoke. Agent can use tools to perform actions like search web, perform calculations, etc. With tools, it can greatly extend the capabilities of an agent. > [!NOTE] > To use tools with agent, the backend LLM model used by the agent needs to ... |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | Key Concepts - @AutoGen.Core.FunctionContract: The contract of a function that agent can invoke. It contains the function name, description, parameters schema, and return type. - @AutoGen.Core.ToolCallMessage: A message type that represents a tool call request in AutoGen.Net. - @AutoGen.Core.ToolCallResultMessage: A me... |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | Install AutoGen and AutoGen.SourceGenerator First, install the AutoGen and AutoGen.SourceGenerator package using the following command: ```bash dotnet add package AutoGen dotnet add package AutoGen.SourceGenerator ``` Also, you might need to enable structural xml document support by setting `GenerateDocumentationFile... |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | Add Using Statements [!code-csharp[Using Statements](../../sample/AutoGen.BasicSamples/GettingStart/Use_Tools_With_Agent.cs?name=Using)] |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | Create agent Create an @AutoGen.OpenAI.OpenAIChatAgent with `GPT-3.5-turbo` as the backend LLM model. [!code-csharp[Create an agent with tools](../../sample/AutoGen.BasicSamples/GettingStart/Use_Tools_With_Agent.cs?name=Create_Agent)] |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | Define `Tool` class and create tools Create a `public partial` class to host the tools you want to use in AutoGen agents. The method has to be a `public` instance method and its return type must be `Task<string>`. After the methods is defined, mark them with @AutoGen.Core.FunctionAttribute attribute. In the following ... |
GitHub | autogen | autogen/dotnet/website/tutorial/Create-agent-with-tools.md | autogen | Tool call without auto-invoke In this case, when receiving a @AutoGen.Core.ToolCallMessage, the agent will not automatically invoke the tool. Instead, the agent will return the original message back to the user. The user can then decide whether to invoke the tool or not.  - [Function call with gemini](../articles/AutoGen.Gemini/Function-call-with-gemini.md) - [Function call with local model](../articles/Function-call-with-ollama-and-litellm.md) - [Use kernel plugin in other agents](../article... |
GitHub | autogen | autogen/dotnet/website/tutorial/Chat-with-an-agent.md | autogen | 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.Op... |
GitHub | autogen | autogen/dotnet/website/tutorial/Chat-with-an-agent.md | autogen | Step 1: Install AutoGen First, install the AutoGen package using the following command: ```bash dotnet add package AutoGen ``` |
GitHub | autogen | autogen/dotnet/website/tutorial/Chat-with-an-agent.md | autogen | Step 2: add Using Statements [!code-csharp[Using Statements](../../sample/AutoGen.BasicSamples/GettingStart/Chat_With_Agent.cs?name=Using)] |
GitHub | autogen | autogen/dotnet/website/tutorial/Chat-with-an-agent.md | autogen | 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 ... |
GitHub | autogen | autogen/dotnet/website/tutorial/Chat-with-an-agent.md | autogen | 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-csharp[Generate Response](../../sample/AutoGen.BasicSamples/GettingStart/Chat_With_Agent.cs?name=Chat_W... |
GitHub | autogen | autogen/dotnet/website/tutorial/Chat-with-an-agent.md | autogen | Further Reading - [Chat with google gemini](../articles/AutoGen.Gemini/Chat-with-google-gemini.md) - [Chat with vertex gemini](../articles/AutoGen.Gemini/Chat-with-vertex-gemini.md) - [Chat with Ollama](../articles/AutoGen.Ollama/Chat-with-llama.md) - [Chat with Semantic Kernel Agent](../articles/AutoGen.SemanticKernel... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.17.md | autogen | # AutoGen.Net 0.0.17 Release Notes |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.17.md | autogen | 🌟 What's New 1. **.NET Core Target Framework Support** ([#3203](https://github.com/microsoft/autogen/issues/3203)) - 🚀 Added support for .NET Core to ensure compatibility and enhanced performance of AutoGen packages across different platforms. 2. **Kernel Support in Interactive Service Constructor** ([#3181](htt... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.17.md | autogen | 🚀 Improvements 1. **Cancellation Token Addition in Graph APIs** ([#3111](https://github.com/microsoft/autogen/issues/3111)) - 🔄 Added cancellation tokens to async APIs in the `AutoGen.Core.Graph` class to follow best practices and enhance the control flow. |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.17.md | autogen | ⚠️ API Breaking Changes 1. **FunctionDefinition Generation Stopped in Source Generator** ([#3133](https://github.com/microsoft/autogen/issues/3133)) - 🛑 Stopped generating `FunctionDefinition` from `Azure.AI.OpenAI` in the source generator to eliminate unnecessary package dependencies. Migration guide: - ➡️ U... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.17.md | autogen | 📚 Documentation 1. **Consume AutoGen.Net Agent in AG Studio** ([#3142](https://github.com/microsoft/autogen/issues/3142)) - Added detailed documentation on using AutoGen.Net Agent as a model in AG Studio, including examples of starting an OpenAI chat backend and integrating third-party OpenAI models. 2. **Middlew... |
GitHub | autogen | autogen/dotnet/website/release_note/update.md | autogen | ##### Update on 0.0.15 (2024-06-13) Milestone: [AutoGen.Net 0.0.15](https://github.com/microsoft/autogen/milestone/3) ###### Highlights - [Issue 2851](https://github.com/microsoft/autogen/issues/2851) `AutoGen.Gemini` package for Gemini support. Examples can be found [here](https://github.com/microsoft/autogen/tree/ma... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.16.md | autogen | # AutoGen.Net 0.0.16 Release Notes We are excited to announce the release of **AutoGen.Net 0.0.16**. This release includes several new features, bug fixes, improvements, and important updates. Below are the detailed release notes: **[Milestone: AutoGen.Net 0.0.16](https://github.com/microsoft/autogen/milestone/4)** |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.16.md | autogen | 📦 New Features 1. **Deprecate `IStreamingMessage`** ([#3045](https://github.com/microsoft/autogen/issues/3045)) - Replaced `IStreamingMessage` and `IStreamingMessage<T>` with `IMessage` and `IMessage<T>`. 2. **Add example for using ollama + LiteLLM for function call** ([#3014](https://github.com/microsoft/autogen/issu... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.16.md | autogen | 🐛 Bug Fixes 1. **SourceGenerator doesn't work when function's arguments are empty** ([#2976](https://github.com/microsoft/autogen/issues/2976)) - Fixed an issue where the SourceGenerator failed when function arguments were empty. 2. **Add content field in ToolCallMessage** ([#2975](https://github.com/microsoft/autogen... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.16.md | autogen | 🚀 Improvements 1. **Sample update - Add getting-start samples for BasicSample project** ([#2859](https://github.com/microsoft/autogen/issues/2859)) - Re-organized the `AutoGen.BasicSample` project to include only essential getting-started examples, simplifying complex examples. 2. **Graph constructor should consider n... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.16.md | autogen | ⚠️ API-Breakchange 1. **Deprecate `IStreamingMessage`** ([#3045](https://github.com/microsoft/autogen/issues/3045)) - **Migration guide:** Deprecating `IStreamingMessage` will introduce breaking changes, particularly for `IStreamingAgent` and `IStreamingMiddleware`. Replace all `IStreamingMessage` and `IStreamingMessag... |
GitHub | autogen | autogen/dotnet/website/release_note/0.0.16.md | autogen | 📚 Document Update 1. **Add example for using ollama + LiteLLM for function call** ([#3014](https://github.com/microsoft/autogen/issues/3014)) - Added a tutorial to the website for using ollama with LiteLLM. Thank you to all the contributors for making this release possible. We encourage everyone to upgrade to AutoGen... |
GitHub | autogen | autogen/dotnet/src/AutoGen.SourceGenerator/README.md | autogen | ### AutoGen.SourceGenerator This package carries a source generator that adds support for type-safe function definition generation. Simply mark a method with `Function` attribute, and the source generator will generate a function definition and a function call wrapper for you. ### Get start First, add the following ... |
GitHub | autogen | autogen/dotnet/src/AutoGen.LMStudio/README.md | autogen | ## AutoGen.LMStudio This package provides support for consuming openai-like API from LMStudio local server. |
GitHub | autogen | autogen/dotnet/src/AutoGen.LMStudio/README.md | autogen | Installation To use `AutoGen.LMStudio`, add the following package to your `.csproj` file: ```xml <ItemGroup> <PackageReference Include="AutoGen.LMStudio" Version="AUTOGEN_VERSION" /> </ItemGroup> ``` |
GitHub | autogen | autogen/dotnet/src/AutoGen.LMStudio/README.md | autogen | Usage ```csharp using AutoGen.LMStudio; var localServerEndpoint = "localhost"; var port = 5000; var lmStudioConfig = new LMStudioConfig(localServerEndpoint, port); var agent = new LMStudioAgent( name: "agent", systemMessage: "You are an agent that help user to do some tasks.", lmStudioConfig: lmStudioConfig... |
GitHub | autogen | autogen/dotnet/src/AutoGen.LMStudio/README.md | autogen | Update history ### Update on 0.0.7 (2024-02-11) - Add `LMStudioAgent` to support consuming openai-like API from LMStudio local server. |
GitHub | autogen | autogen/.devcontainer/README.md | autogen | # Dockerfiles and Devcontainer Configurations for AutoGen Welcome to the `.devcontainer` directory! Here you'll find Dockerfiles and devcontainer configurations that are essential for setting up your AutoGen development environment. Each Dockerfile is tailored for different use cases and requirements. Below is a brief... |
GitHub | autogen | autogen/.devcontainer/README.md | autogen | Dockerfile Descriptions ### base - **Purpose**: This Dockerfile, i.e., `./Dockerfile`, is designed for basic setups. It includes common Python libraries and essential dependencies required for general usage of AutoGen. - **Usage**: Ideal for those just starting with AutoGen or for general-purpose applications. - **Bu... |
GitHub | autogen | autogen/.devcontainer/README.md | autogen | Customizing Dockerfiles Feel free to modify these Dockerfiles for your specific project needs. Here are some common customizations: - **Adding New Dependencies**: If your project requires additional Python packages, you can add them using the `RUN pip install` command. - **Changing the Base Image**: You may change th... |
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