OpenAI released a detailed guide on creating AI agents

OpenAI has published a new practical guide for developers building AI agents. The document, titled Practical Guide to Building Agents, offers a step-by-step approach to creating systems capable of performing tasks with minimal human intervention.

Key points:

— structure for selecting processes where autonomous agents are most effective

— three foundations: models, tools, and instructions

— orchestration scenarios

— from single agents to multi-component systems

— a multi-level control system and human involvement at critical stages.

AI agents are becoming an increasingly important way to interact with large language models. The guide consolidates experience from real-world projects and provides recommendations for their implementation.

An agent is a system that uses a language model to manage task execution, employs tools for data collection and decision-making, and operates within predefined constraints.

Not all tasks require an agent. OpenAI recommends using this approach where traditional automation falls short: for example, in processing insurance claims, verifying contractors, or coordinating refunds.

The technical section of the document includes:

— selecting models with a balance between accuracy, speed, and cost

— creating tools with clear documentation

— writing clear instructions that break down tasks into stages.

To start, OpenAI advises using the most powerful models to establish a quality baseline, then switching to more cost-effective options if necessary.

A separate section is dedicated to security. The authors describe a multi-layered protection system: from relevance filters to risk assessment before executing actions. Human involvement at key stages remains mandatory.

The guide is illustrated with practical examples based on the Agents SDK. OpenAI demonstrates how to build single and multi-component systems using minimal code.

Source: maginative.com