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Tools & Function Calling in Microsoft Agent Framework - Part 4
Part 4 of the Microsoft Agent Framework Series In Part 2 and Part 3, we built our first agents with basic tools. Now it’s time to go deeper into the heart of agentic AI: function calling. Tools transform agents from mere conversationalists into action-takers. They’re the bridge between AI reasoning and real-world outcomes. In this article, we’ll explore advanced tool patterns, external API…
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OpenAI API Complete Guide: From Chat Completions to Assistants
The OpenAI API has become the foundation for countless AI applications, from chatbots to code assistants to creative tools. But with the rapid evolution of models—from GPT-4 to GPT-4 Turbo to the recent GPT-4o—and the introduction of the Assistants API, understanding the full landscape can be overwhelming. In this comprehensive guide, I’ll walk you through everything you need to build production…
Building AI Agents: A Complete Code Review Assistant from Scratch
Theory is great, but you’re here to build things. Let’s create a real AI agent—a code review assistant that can analyze pull requests, find issues, and explain its reasoning. This isn’t a toy example. I’ve deployed variations of this in production. You’ll see the full architecture, edge cases, and the decisions that matter. Series Navigation: Part 1: GenAI Intro → Part 2: LLMs → Part 3:…
Using a templated function
never forget to write template before calling the function. clang is awesome enough to tell you that though.
object.template TemplatedFunction<T>(input, params);
