SemanticKernel.Assistants
1.0.0-rc3
See the version list below for details.
dotnet add package SemanticKernel.Assistants --version 1.0.0-rc3
NuGet\Install-Package SemanticKernel.Assistants -Version 1.0.0-rc3
<PackageReference Include="SemanticKernel.Assistants" Version="1.0.0-rc3" />
paket add SemanticKernel.Assistants --version 1.0.0-rc3
#r "nuget: SemanticKernel.Assistants, 1.0.0-rc3"
// Install SemanticKernel.Assistants as a Cake Addin #addin nuget:?package=SemanticKernel.Assistants&version=1.0.0-rc3&prerelease // Install SemanticKernel.Assistants as a Cake Tool #tool nuget:?package=SemanticKernel.Assistants&version=1.0.0-rc3&prerelease
Semantic Kernel - Assistants
This is assistant proposal for the Semantic Kernel.
This enables the usage of assistants for the Semantic Kernel.
It provides different scenarios for the usage of assistants such as:
- Assistant with Semantic Kernel plugins
- Multi-Assistant conversation
About Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.
Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.
Getting Started with Semantic Kernel⚡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
Installation
To install this memory store, you need to add the required nuget package to your project:
dotnet add package SemanticKernel.Assistants --version 1.0.0-rc3
Usage
- Create you agent description file in yaml:
name: Mathematician description: A mathematician that resolves given maths problems. instructions: | You are a mathematician. Given a math problem, you must answer it with the best calculation formula. No need to show your work, just give the answer to the math problem. Use calculation results. input_parameter: default_value: "" description: | The word mathematics problem to solve in 2-3 sentences. Make sure to include all the input variables needed along with their values and units otherwise the math function will not be able to solve it. execution_settings: planner: Handlebars model: gpt-3.5-turbo deployment_name: gpt-35-turbo-1106
- Instanciate your assistant in your code:
string azureOpenAIEndpoint = configuration["AzureOpenAIEndpoint"]!; string azureOpenAIKey = configuration["AzureOpenAIAPIKey"]!; var mathematician = AssistantBuilder.FromTemplate("./Assistants/Mathematician.yaml", azureOpenAIEndpoint, azureOpenAIKey, plugins: new List<IKernelPlugin>() { KernelPluginFactory.CreateFromObject(new MathPlugin(), "math") });
- Create a new conversation thread with your assistant.
var thread = agent.CreateThread(); await thread.InvokeAsync("Your ask to the assistant.");
License
This project is licensed under the MIT License.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- Handlebars.Net (>= 2.1.4)
- Microsoft.Extensions.Configuration (>= 8.0.0)
- Microsoft.Extensions.Configuration.Abstractions (>= 8.0.0)
- Microsoft.Extensions.Logging (>= 8.0.0)
- Microsoft.SemanticKernel (>= 1.0.0-rc3)
- Microsoft.SemanticKernel.Abstractions (>= 1.0.0-rc3)
- Microsoft.SemanticKernel.Core (>= 1.0.0-rc3)
- Microsoft.SemanticKernel.Planners.Handlebars (>= 1.0.0-rc3)
- Microsoft.SemanticKernel.Planners.OpenAI (>= 1.0.0-rc3)
- xunit.extensibility.execution (>= 2.6.3)
- YamlDotNet (>= 13.7.1)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on SemanticKernel.Assistants:
Package | Downloads |
---|---|
SemanticKernel.Assistants.AutoGen
This enables the usage of AutoGen assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: - **Assistant with Semantic Kernel plugins** - **Multi-Assistant conversation** - **AutoGen conversation** (see [AutoGen](#autogen) for more details) |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
1.21.1 | 185 | 10/1/2024 |
1.17.1 | 238 | 8/14/2024 |
1.17.0 | 118 | 8/8/2024 |
1.14.0 | 547 | 6/5/2024 |
1.13.1 | 134 | 6/2/2024 |
1.13.0 | 204 | 5/21/2024 |
1.12.0 | 121 | 5/17/2024 |
1.10.1 | 158 | 5/1/2024 |
1.10.0 | 97 | 5/1/2024 |
1.7.3 | 149 | 4/8/2024 |
1.7.2 | 142 | 4/8/2024 |
1.7.1 | 152 | 4/7/2024 |
1.6.3 | 175 | 3/24/2024 |
1.6.2 | 157 | 3/24/2024 |
1.5.3 | 203 | 3/3/2024 |
1.5.2 | 168 | 3/3/2024 |
1.5.1 | 132 | 3/3/2024 |
1.5.0 | 152 | 3/2/2024 |
1.3.3 | 200 | 2/10/2024 |
1.3.1 | 125 | 2/6/2024 |
1.3.0 | 119 | 2/1/2024 |
1.2.0-preview | 90 | 1/27/2024 |
1.1.1-peview | 102 | 1/22/2024 |
1.1.0-preview | 94 | 1/18/2024 |
1.0.4-preview | 112 | 1/5/2024 |
1.0.3-preview | 138 | 12/20/2023 |
1.0.2-preview | 113 | 12/19/2023 |
1.0.1-rc4 | 118 | 12/16/2023 |
1.0.1-rc3 | 119 | 12/11/2023 |
1.0.1-preview | 124 | 12/19/2023 |
1.0.0-rc3 | 121 | 12/10/2023 |
0.0.1-alpha | 146 | 1/5/2024 |