In my last post Advanced multi-agent orchestration architectures I wrote about Hub-and-Spoke, Hierarchical, and Supervisor patterns. In this article, as the title makes clear I will get a bit deeper into hub-and-spoke. But before that, as I was writing the hub and spoke code I learned a few hard lessons. I share them in case […]
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As I consume AI NLP responses I very often accept without much resistance, second guessing, or contemplation for or against the result presented to me. I simply read it and if I agree, I take it as true and continue forward with my activity. If I don’t agree I tend to respond with my doubt […]
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As Azure AI Foundry adoption grows, developers are increasingly faced with an important architectural decision: The answer depends on where your agent lives and how you want to manage it. Although both SDKs are part of the Azure AI ecosystem, they solve different problems. Understanding the distinction can save significant development effort and help you […]
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The Microsoft Agent Framework is an open-sourced SDK which combines the Semantic Kernel and AutoGen into a single, highly innovative set of AI capabilities into a single library. AI features like: Unified model connectivity and chat clients for OpenAI, Azure OpenAI, Anthropic, Ollama, and other leading LLM providers. Multi-agent orchestration, allowing specialized AI agents to […]
Read More →You may have noticed that in my previous articles I used Azure AI Projects client library for Python – version 2.5.0 library. Those articles illustrate how to build AI Agents, MCP Tools, and infer instructions using an LLM. Integrate custom tools into an AI Agent Integrate MCP Tools with AI Agents – Remote MCP server […]
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