Agent
AI Agent
7 articles
Getting Started with LangChain: Build LLM-Powered Agents Step by Step with Python
A working LangChain v1 agent in Python: model setup, LCEL chains, structured output with Pydantic, tool-calling agents, and how it compares to Semantic Kernel.
Why Your Semantic Kernel Agents Are Sharing Plugins and How to Fix It
Learn why using a single Semantic Kernel for multiple agents causes plugins to leak between them, uncover the root cause, and explore simple solutions to ensure each agent’s plugins remain properly isolated.
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
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
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
This blog covers why your Semantic Kernel AI agent may ignore plugins and how to fix it with a simple configuration change.
Building AI Agent using Semantic Kernel Agent Framework
Explore the creation of intelligent AI agents with the Semantic Kernel Agent Framework