1、AGENTIC AIPLAYBOOKFrom conversational assistants to autonomous agents:a comprehensive journey through the design and orchestration of AI Agents2AgendaIntroductionIntroduction31.First concepts:understanding the foundations of agentic AI52.Different levels of agentic intelligence103.Core components of

2、 an AI Agent134.Orchestrating Agents175.Guardrails and Agent Security236.Building an Agent Factory27ConclusionConclusion303IntroductionFrom conversational intelligence to agentic AI:A new era for intelligent automationGenerative AI has seen an unprecedented acceleration over the past few years.Once

3、confined to research labs,it has rapidly moved into the mainstream tech landscape.The tipping point?The release of ChatGPT in 2022,a breakthrough that brought this technology into the hands of millions.That pivotal moment turned a niche research field into a global phenomenon,reshaping how we work,a

4、ccess information,and approach automation.From text generation to planning and actionGenerative AI is no longer just about producing text or powering chatbots.Its evolving into a more structured,proactive,and operational form of intelligence.Todays models go beyond generating responsesthey plan,reas

5、on,and execute.Theyre becoming systems that can handle complex tasks,adapt to diverse environments,and act on behalf of users.This shift,gradual yet fundamental,is ushering in the age of agentic AI.Recent developments such as Chain of Thought reasoning have equipped language models with the ability

6、to break down complex problems into logical steps.This structured approach leads to more accurate,coherent,and abstract outputsan essential capability for tackling real business use cases where a simple text response is no longer enough.Smarter models for more complex tasksModels like OpenAIs o3 and