Agentic AI with multi-model framework using Hugging Face smolagents on AWS

This post is cowritten by Jeff Boudier, Simon Pagezy, and Florent Gbelidji from Hugging Face.

Agentic AI systems represent an evolution from conversational AI to autonomous agents capable of complex reasoning, tool usage, and code execution. Enterprise applications benefit from strategic deployment approaches tailored to specific needs. These needs include managed endpoints, which deliver auto-scaling capabilities, foundation model APIs to support complex reasoning, and containerized deployment options that support custom integration requirements.

Hugging Face smolagents is an open source Python library designed to make it straightforward to build and run agents using a few lines of code. We will show you how to build an agentic AI solution by integrating Hugging Face smolagents with Amazon Web Services (AWS) managed services. You’ll learn how to deploy a healthcare AI agent that demonstrates multi-model deployment options, vector-enhanced knowledge retrieval, and clinical decision support capabilities.

While we use healthcare as an example ...