.NET, AI, C#, Python, Software Engineer, Tech Evangelist, Podcaster
In the .NET development world the two most significant frameworks for AI are Microsoft Agent Framework and Microsoft Foundry. Together, they create a powerful ecosystem for building, deploying, and managing AI agents that can automate tasks, respond to user queries, Continue reading
In the realm of software development, managing configuration values and sensitive information is a critical aspect that can significantly impact the security and functionality of applications. Developers often find themselves at a crossroads when deciding how to store configuration values, Continue reading
I fed the first half of one of the blog posts generated by my demonstration program to Pangram. Here are the results: Bzzzz Still your turn.
As noted in a previous post, middleware plays a pivotal role in enhancing the functionality and observability of agents. The Microsoft Agent Framework utilizes two primary types of middleware: ChatClient Middleware and Agent Middleware. Understanding the distinctions between these two Continue reading
Long-term memory in AI agents refers to the ability to retain information across multiple interactions and sessions. This is essential for creating a more personalized user experience, as it allows agents to recall user preferences, past conversations, and contextual information. Continue reading
In the rapidly evolving landscape of artificial intelligence, developers are presented with a myriad of frameworks to build applications that leverage the power of large language models (LLMs) and multi-agent systems. Among these, LangChain, LangGraph, and the Microsoft Agent Framework Continue reading
Observability has become a critical component for ensuring the performance and reliability of applications. OpenTelemetry, an open-source observability framework, provides developers with the tools necessary to collect and export telemetry data from their applications. When integrated with the Microsoft Agent Continue reading
RAG A quick example RAG in detail Deeper into RAG The R in RAG PEAS for Agentic AI AI Reasoning and Planning REACT and Agents in AI Creating a multi-agent system (Python LangChain/LangGraph) part 1 of 6 Migrating Continue reading
In the rapidly evolving landscape of artificial intelligence, managing costs associated with API usage is a critical concern for developers. The Microsoft Agent Framework offers a powerful tool in this regard: ChatClientAgentRunOptions. This component allows developers to cap the number Continue reading
A critical need, when creating multi-agent applications is to manage token usage in API calls. This is where middleware plays a crucial role. In this post, we will explore what middleware is within the Microsoft Agent Framework, why it is Continue reading