Showing category results for Python

We are excited to announce the General Availability (GA) release of Filters for our .NET and Python Semantic Kernel! This vital enhancement strengthens the control and visibility developers have when running functions, ensuring responsible AI practices are instilled from the ground up. Filters not only improve security but also contribute to buildi...

We are thrilled to announce the General Availability (GA) release of the OpenAPI package for Semantic Kernel, available for both .NET and Python! With this significant milestone, developers can easily integrate existing APIs as plugins, enhancing the capabilities of their AI agents while making them more versatile in real-world applications. Why O...

Until now, Semantic Kernel Python only allowed for the development of text-based AI applications. However, this is no longer the case, as we have expanded its capabilities to include audio as one of the supported modalities. In this article, I will provide a detailed, step-by-step guide on how to create a chatbot that can both speak to and listen t...

As we continue to empower developers in embedding AI into their workflows, we are thrilled to announce significant updates to the Microsoft Semantic Kernel's Process Framework. Building on our introductory blog, we’ve made enhancements that further streamline business process automation and AI integration and help you to be successful with the Sema...

The Semantic Kernel Agent Framework revolutionizes how developers can interact with Large Language Models (LLMs) by embedding dynamic, multi-step agents into their applications. By combining the power of LLMs with structured programming, the framework allows developers to build intelligent systems that can autonomously carry out tasks, reason based...

We are thrilled to announce that Microsoft Semantic Kernel Python Kernel has reached an incredible milestone of 1,000,000 downloads! This achievement would not have been possible without the unwavering support and enthusiasm of our community. We want to extend our heartfelt thanks to every developer, contributor, and user who has embraced the Pytho...

In working with AI applications, ensuring that the output generated by a language model is structured and follows a consistent format is critical—especially when handling complex tasks like solving math problems. A powerful way to achieve this is through the use of JSON Schema, which allows the AI model to produce outputs that align with a predefin...

  Introducing Function Choice Behavior Today, we're excited to introduce the Function Choice Behavior, an enhancement over the existing Function Call Behavior. This new feature streamlines configuration and supports specifying multiple required functions, simplifying code and enhancing functionality. One significant advantage of Function ...

We are thrilled to announce the release of the long-awaited Semantic Kernel Python SDK 1.0.0! This milestone version brings a plethora of enhancements and new features designed to empower AI and app developers with more robust and versatile tools. Exciting New Feature: Shared Prompts Across Languages One of the groundbreaking features of this rel...

As we approach a stable v1.0 version of the Python Semantic Kernel SDK, we analysed the methods used to add plugins and functions to the kernel. We realised that the variety of available methods might confuse developers. For instance, when should one use versus ? Or versus ? Our goal has always been to keep the SDK as Pythonic and simple as possi...