{"id":1736,"date":"2023-12-19T08:29:26","date_gmt":"2023-12-19T16:29:26","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/semantic-kernel\/?p=1736"},"modified":"2023-12-20T08:49:54","modified_gmt":"2023-12-20T16:49:54","slug":"semantic-kernel-v1-0-1-has-arrived-to-help-you-build-agents","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/agent-framework\/semantic-kernel-v1-0-1-has-arrived-to-help-you-build-agents\/","title":{"rendered":"Say hello to Semantic Kernel V1.0.1"},"content":{"rendered":"

The Semantic Kernel team is proud to announce that we have published V1.0.1 of Semantic Kernel for C#. With V1, C# developers now have a solid foundation to build AI agents for their AI powered applications.<\/p>\n

We are extremely thankful to the many people who tested our release candidates over the past two weeks. The many bug reports and feature requests helped ensure that we landed a solid version of Semantic Kernel. We hope this is a perfectly holiday gift for anyone interested in building AI applications over the winter holidays.<\/p>\n

If you need some inspiration, I’d recommend checking out the submissions to last week’s hackathon. Some of the most compelling include using events to securely send and receive requests to LLMs<\/a>, flying a drone<\/a>, and even building an entire quiz app<\/a> using local models from Ollama<\/a>. And with V1.0.1, you can rest assured knowing that you are building on top of stable APIs that won’t break moving forward.<\/p>\n

To help the community get started building on top of V1.0.1, we’ve prepared all the information you need to get started in this blog post:<\/p>\n

    \n
  1. Updated docs that walk through\u00a0how<\/em> to create your first agent<\/a><\/li>\n
  2. The list of V1.0.1 packages<\/a><\/li>\n
  3. Where to get help from the Semantic Kernel team<\/a><\/li>\n
  4. And where the community can help the open-source project<\/a><\/li>\n<\/ol>\n

    Build your first agent with the new packages and docs<\/h2>\n

    To help users get started with the new V1.0.1 interface for Semantic Kernel, we’ve updated our documentation on learn.microsoft.com<\/a>. It still walks through the core concepts in Semantic Kernel, like prompts<\/a> and the kernel<\/a>, but it also<\/em> includes the core components necessary to build AI agents: plugins<\/a>, planners<\/a>, and personas<\/a>.<\/p>\n

    \"Image<\/a><\/p>\n

    We are extremely excited about our updated docs because it’s never been easier to learn how to build agents for your AI applications<\/a>. With Semantic Kernel, we make it incredibly easy to build an agent with a personalized persona that can automatically call plugins using planners or with automated function calling. Once you’ve gotten the basics down, you can then build anything from a simple chatbot, to a fully autonomous agent.<\/p>\n

    \"Image<\/a><\/p>\n

    If you’re\u00a0brand<\/em> new to building AI applications, we’ve also added a great step-by-step guide<\/a> on how you can write (and improve) your first prompt.<\/p>\n

    Installing the right V1.0.1 packages for your agents<\/h2>\n

    To make it clear which packages are stable (i.e., no more breaking changes) and which ones may still change, we have bucketed our NuGet packages into three groups:<\/p>\n

      \n
    1. V1.0.1<\/strong> \u2013 these packages will be supported long term without future breaking changes.<\/li>\n
    2. V1.0.1-preview<\/strong> \u2013 these packages are slated to land in V1.1; they are likely to only have minimal breaking changes in the future.<\/li>\n
    3. V1.0.1-alpha <\/strong>\u2013 these packages may experience meaningful changes moving forward.<\/li>\n<\/ol>\n

      Both the V1.0.1-preview and V1.0.1-alpha packages are marked experimental. This means that if you use features from these packages, you will need to add <NoWarn>SKEXPXXXX<\/NoWarn><\/code> or #pragma warning disable SKEXPXXXX<\/code> to your application (don’t forget to replace XXXX<\/code> with the correct experiment number). To see the full list of current experiments, visit this doc article<\/a>. There are also a handful of experiments still in the core V1.0.1 NuGets for interfaces that may update slightly in the future.<\/p>\n

      Please note, several of the previous packages have been unlisted because of package renames. They will continue to be available for use, but they will no longer be discoverable on NuGet’s website. You should be able to find the new package to use in the list below.<\/p>\n

      V1.0.1 packages<\/h3>\n

      The following packages are now stable and will not have breaking changes (unless an API is marked experimental):<\/p>\n