LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios
This survey introduces a unified framework to classify agentic reasoning systems based on three progressive levels: single-agent, tool-based, and multi-agent methods. It provides a formal language and taxonomy to systematically analyze how different techniques combine to build complex AI agents across various real-world domains like science and healthcare.