AI & Machine Learning

Guardrails para Agentes de IA que se Autocorrigen en Lugar de Bloquear

Ali Nemati6 hours ago52 sec read5 views0 listens

Este artículo explora dos enfoques para implementar guardrails (reglas) en sistemas de agentes inteligentes: Hooks y Agent Control. Ambos métodos tienen sus propias ventajas y se usan según las necesidades específicas del sistema.

Enfoque 1: Hooks

Descripción: Los hooks son funciones personalizadas escritas en Python que se ejecutan antes o después de llamadas a herramientas (tools) dentro del agente. Estos hooks pueden cancelar la ejecución de una herramienta si no cumplen con ciertas reglas.

Ventajas:
- Fácil de implementar y configurar.
- No requiere un servidor adicional, lo que reduce la complejidad operativa.
- Respuesta rápida (casi inmediata) cuando se violan las reglas.
Desventajas:
- Necesita redesplegar el código del agente para actualizar las reglas.
- No permite cambios en tiempo real sin interrupción del servicio.

Enfoque 2: Agent Control

Descripción: El Agent Control es un sistema gestionado por servidor que permite definir y aplicar

Read the full article at DEV Community

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

Contents

Ali NematiWritten by Ali

View all posts

AI & Machine LearningFeb 2537 sec read

[AINews] The Unreasonable Effectiveness of Closing the Loop

Claude Code Remote Control rollout announced by @claudeai. Qwen 3.5 Medium Model Series released by @Alibaba_Qwen. Cursor agents now ship "demos not diffs" as per @cursor_ai. Karpathy discusses CLIs as agent-native interface on Twitter. Meta and AMD...

E-Commerce & RetailFeb 2530 sec read

How IKEA got closer to its shoppers with new small-format stores, Best Buy partnership

IKEA announced plans for four new U.S. stores in 2026, including its first small-format stores that blend elements of larger stores into a smaller space, aiming to increase accessibility; it also launched a partnership with Best Buy to integrate IKEA...

GamingFeb 2525 sec read

New Xbox Leadership Confirms No Microsoft Pressure to Increase AI Use

New Xbox leaders Asha Sharma and Matt Booty assure there will be no pressure for developers to use AI, emphasizing a commitment to maintaining high-quality content over technological trends. This stance is significant as it reassures content creators...

AI & Machine LearningFeb 2526 sec read

Why do deep technical searches still take hours - and what actually fixes them?

The article discusses the inefficiencies in technical research workflows due to fragmented information retrieval from PDFs and other sources, leading to incomplete understanding and delayed decision-making. It proposes a structured approach involving...

AI & Machine LearningFeb 2529 sec read

Why Deep Research Fails Fast (and How to Stop Burning Time)

The article discusses common pitfalls in integrating deep AI research into products, highlighting issues like treating research as a black-box process and over-relying on single models without proper retrieval checks. It emphasizes the importance of ...