Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python
The story
In this tutorial, we build a complete skill-based agent system for large language models and explore how modular capabilities can be structured like an operating system for AI agents. We define reusable skills, attach metadata and schemas to them, register them in a central registry, and enable dynamic orchestration through tool calling and multi-step reasoning. [ ] The post Build Modular Skill-
Who and what
Key names and topics in this story: Build, Modular Skill, Based Agent System, LLMs.
Where to follow next
- Read the full piece at www.marktechpost.com
- More from our AI & prompts coverage
Related stories
Inworld AI Launches Realtime TTS-2: A Closed-Loop Voice Model That Adapts to How You Actually Talk
The Inworld AI's new model conditions on full audio context, not just transcripts — a meaningful architectural shift for voice-first AI agents The post Inworld AI Launches Realtime TTS-2: A Closed-Loop Voice Model That Adapts to How You Actually Talk appeared first on MarkTechPos
Apple plans to make iOS 27 a Choose Your Own Adventure of AI models
With Apple's latest operating system updates, users will reportedly have their pick of which third-party AI models they want to use for a host of tasks.
Pennsylvania sues Character.AI after a chatbot allegedly posed as a doctor
According to Pennsylvania's filing, a Character.AI chatbot presented itself as a licensed psychiatrist during a state investigation, and also fabricated a serial number for its state medical license.
SAP bets $1.16B on 18-month-old German AI lab and says yes to NemoClaw
SAP plans to buy German AI startup Prior Labs and invest heavily in it. It is also prohibiting customers' agents use to a select few like Nvidia's NemoClaw.