The emergence of agentic artificial intelligence represents a fundamental transformation in the field of machine learning, marking a transition from passive generative systems to autonomous entities capable of proactive environmental engagement.1 While early iterations of large language models (LLMs) focused primarily on text synthesis and pattern imitation, contemporary agentic