langchain

Infrastructure Hardening for Agentic AI, Retries, Observability, and Human in the Loop

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Introduction Agentic AI systems introduce new forms of autonomy, decision-making, and chaining. But autonomy without infrastructure safeguards is a recipe for cost overruns, instability, and silent failure. This article focuses on infrastructure hardening for multi-agent systems, covering: Why Infrastructure Hardening Is Essential Engineering real-world agents goes beyond chaining together LLM calls. Each call may: You … Read more

Building Smart Agents, Reasoning, Memory, and Planning in Production LLM Systems

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Introduction Memory defines intelligence in AI systems. Without it, even the best reasoning models repeat themselves, lose context, and make brittle decisions. In this article, we will explore how to build memory-aware ReAct agents using LangChain, LangGraph, and LangMem. You will learn how to retain history, plan across multiple steps, and integrate persistent memory into … Read more

Architecting the Foundation — LLM Function Calling and Toolchains

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Introduction Are you building AI agents that interact with APIs, run functions, or query real-world services? Then you’re already entering the world of LLM-based function calling. But what does “production-grade” really mean when it comes to LLM toolchains? Let’s break down the actual syntax, versioning, and interfaces available in today’s top LLM libraries, using LangChain … Read more