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AI agents have two souls: controllable code and unpredictable LLMs

AI agents are defined by their ability to interpret inputs, reason, and take actions using generative AI models. A preferred technical definition, consistent with OWASP, outlines five core components: the generative AI model as the reasoning engine, instructions for guidance, retrieval for grounding data, actions via tools or APIs, and memory for continuity. The agent's architecture consists of a deterministic 'Agent Core' (comprising Agent Control and Tools) and a non-deterministic LLM, with the Agent Core orchestrating interactions. AI

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IMPACT Clarifies the fundamental components and security considerations of AI agents, aiding developers in building and managing these systems.

RANK_REASON The article discusses the definition and architecture of AI agents, drawing on existing definitions from Microsoft and OWASP, without announcing a new product or research.

Read on dev.to — LLM tag →

AI agents have two souls: controllable code and unpredictable LLMs

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 · Andrea Chiarelli ·

    AI Agents Have Two Souls. You Only Control One

    <p>Everyone seems to be building AI agents now. But ask ten developers what an AI agent actually is, and you'll get ten different answers. Some say it is any LLM with tool access. Others define it by the ability to autonomously take actions in the world. A few will point at an ex…