
Understanding Selection and Termination Strategy functions in .NET Semantic Kernel Agent Framework
Understanding Selection and Termination Strategy functions in .NET Semantic Kernel Agent Framework
Explore how Selection and Termination Strategy Functions in the Semantic Kernel Agent Framework for .NET manage multi-agent conversations by choosing the next speaker and deciding when to end the chat.

Automate Workflows with Microsoft Semantic Kernel Process Framework in .NET
Automate Workflows with Microsoft Semantic Kernel Process Framework in .NET
Build intelligent, event-driven workflows using Microsoft’s Semantic Kernel Process Framework to automate content creation, onboarding, and complex tasks with AI and custom logic.

Building Multi‑Agent AI Workflows with Semantic Kernel Agent Framework in .NET
Building Multi‑Agent AI Workflows with Semantic Kernel Agent Framework in .NET
Explore how multi-agent systems enable AI agents to collaborate seamlessly, enhancing efficiency and scalability. Learn to implement this approach using Microsoft's Semantic Kernel, orchestrating specialized agents to automate tasks like email drafting and approval.

Why Your AI Agent Isn't Calling Your Tools: Fixing Function Invocation Issues in Semantic Kernel
Why Your AI Agent Isn't Calling Your Tools: Fixing Function Invocation Issues in Semantic Kernel
This blog covers why your Semantic Kernel AI agent may ignore plugins and how to fix it with a simple configuration change.

Building a Model Context Protocol Server with .NET and Semantic Kernel Integration
Building a Model Context Protocol Server with .NET and Semantic Kernel Integration
Learn how to implement a Model Context Protocol (MCP) server using C# and integrate it with Semantic Kernel to enhance AI assistants with external data and tools through a standardized protocol.

Building AI Agent using Semantic Kernel Agent Framework
Building AI Agent using Semantic Kernel Agent Framework
Explore the creation of intelligent AI agents with the Semantic Kernel Agent Framework

Understanding Response Format Limitations: Why Llama, Phi & Mistral Models Struggle in Azure AI Studio
Understanding Response Format Limitations: Why Llama, Phi & Mistral Models Struggle in Azure AI Studio
A comprehensive exploration of Response Format compatibility issues when working with Llama, Phi, and Mistral model families in Microsoft Azure AI Studio with Semantic Kernel, and how to effectively navigate these limitations.

Using OpenAI vs Azure OpenAI with Semantic Kernel. What's the difference?
Using OpenAI vs Azure OpenAI with Semantic Kernel. What's the difference?
Understanding the differences between OpenAI and Azure OpenAI and how to use them with Semantic Kernel

Using Structured Outputs with Semantic Kernel
Using Structured Outputs with Semantic Kernel
A Simple Guide to Structured Outputs with Semantic Kernel. Converting text responses into typed data with JSON schema and C# model classes.