Google’s whitepaper Agents defines AI agents as systems that extend language models with reasoning, planning, and tools to act autonomously. Unlike standalone models, agents leverage cognitive architectures like ReAct, Chain-of-Thought, and Tree-of-Thoughts to decide actions and manage multi-turn context. Tools—extensions, functions, and data stores—connect agents to real-world data, APIs, and external systems. Examples include integrating Google Flights, Places, and RAG-based data retrieval. Vertex AI provides production-ready infrastructure for building and deploying agents at scale. The paper highlights that chaining specialized agents enables complex, domain-specific problem solving.

Join for free to read