LAB 1.3 : Building Agents with Semantic Kernel¶
Navigate to the notebooks/semantic-kernel/agents.ipynb notebook in your code repository to start this lab.
The lab will introduce you to building agents using Semantic Kernel. This is a basic introduction to AI Agents focussing on how to configure and invoke them.
In the later labs, you will learn how to orchestrate multiple agents.
Objectives:
- Set up and configure agents in Semantic Kernel using
ChatCompletionAgent. - Add tools (plugins) to agents.
Agents in Semantic Kernel are powerful components that can use plugins (like a GitHub plugin) to answer questions, retrieve data, and provide real-time responses. The ChatCompletionAgent is a flexible agent type that can be configured with instructions, plugins, and arguments.