Category Archives: Agentic AI

Building Agents with OpenAI Agent SDK

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You’ve probably noticed by now that we have a lot of AI Agent/Agentic Python frameworks. To list a few – n8n, Pydantic AI, Crewai, OpenAI SDK, Microsoft’s AutoGen, LangChain, LangGraph, Google’s Agent Development Kit (ADK), and Amazon’s Strands, among others. Having played with a few of them, I can assure you all are good frameworks and might come down to your own taste, their fan base in the open source community, and, on occasion, some key feature one of them does better. Let’s dig into OpenAI Agent SDK in this blog.

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Building Type-Safe AI Agents with Pydantic AI

The AI agent framework landscape is evolving rapidly, and while many frameworks exist, few provide the type safety and developer ergonomics that production applications demand. Pydantic AI, created by the team behind the Pydantic validation library, brings that “FastAPI feeling” to AI agent development. This blog will help you get started with the basics of building Pydantic AI applications with proper type checking, structured outputs, and multi-agent orchestration.

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Building Multi-Agent Systems with LangGraph

A practical guide to creating modular, reusable agent architectures that can be shared across projects. LangGraph is a robust framework for building stateful, multi-agent applications using Large Language Models (LLMs). Think of it as a way to create conversation flows where different AI agents can work together, each with their own specialized role.

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