Lost.SemanticKernel.Connectors.Anthropic 1.22.0-alpha0

This is a prerelease version of Lost.SemanticKernel.Connectors.Anthropic.
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Lost.SemanticKernel.Connectors.Anthropic --version 1.22.0-alpha0                
NuGet\Install-Package Lost.SemanticKernel.Connectors.Anthropic -Version 1.22.0-alpha0                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Lost.SemanticKernel.Connectors.Anthropic" Version="1.22.0-alpha0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Lost.SemanticKernel.Connectors.Anthropic --version 1.22.0-alpha0                
#r "nuget: Lost.SemanticKernel.Connectors.Anthropic, 1.22.0-alpha0"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Lost.SemanticKernel.Connectors.Anthropic as a Cake Addin
#addin nuget:?package=Lost.SemanticKernel.Connectors.Anthropic&version=1.22.0-alpha0&prerelease

// Install Lost.SemanticKernel.Connectors.Anthropic as a Cake Tool
#tool nuget:?package=Lost.SemanticKernel.Connectors.Anthropic&version=1.22.0-alpha0&prerelease                

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 ⚡

Product 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 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Lost.SemanticKernel.Connectors.Anthropic:

Repository Stars
CervantesSec/cervantes
Cervantes is an open-source, collaborative platform designed specifically for pentesters and red teams. It serves as a comprehensive management tool, streamlining the organization of projects, clients, vulnerabilities, and reports in a single, centralized location.
Version Downloads Last updated
1.25.0-alpha3 148 10/29/2024
1.22.0-alpha0 53 10/24/2024