"Hands On For all the buzz surrounding them, AI agents are simply another form of automation that can perform tasks using the tools you've provided. Think of them as smart macros that make decisions and go beyond simple if/then rules to handle edge cases in input data. Fortunately, it's easy enough to code your own agents and below we'll show you how."
"Originally developed at Logspace before being acquired by DataStax, which was later bought by Big Blue, LangFlow is a low-code/no-code agent builder based on LangChain. The platform allows users to assemble LLM-augmented automations by dragging, dropping, and connecting various components and tools. The anatomy of an agent Before we jump into building our first agent, let's talk about what comprises an agent."
AI agents are a form of automation that perform tasks using provided tools and make decisions to handle input edge cases beyond simple if/then rules. Many frameworks for building AI agents emerged after late 2022, and LangFlow is an accessible low-code/no-code builder based on LangChain. LangFlow enables assembling LLM-augmented automations by dragging, dropping, and connecting components and tools. Agents consist of three main components: a system prompt or persona that defines purpose and tool usage, a set of tools providing functions or API access, and an LLM that processes input and coordinates tool use to complete tasks.
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