AI - Building blocks of Agentic AI
Agentic AI : Design paradigm where AI operates with autonomy , memory , reasoning and goals
Behavior Planning : The logic an agent uses to plan and execute multi-step actions toward a goal.
Context Window : The amount of infromation an LLM agent can "remember" and reason about during a task.
Dynamic Tool Use : Agents select and use tools on-demand' like browsers . APIs, or databases.
Environment : The external systems or sandbox where agent acts and learns.
Frameworks : Agent development kits like LangChain, AutoGen, and CrewAI used to build agent systems
Goal-Oriented Behavior : Agents operate with clear objectives and adapt actions to reach their goals.
Human-in-the-Loop (HITL) : A method where humans guide, monitor, or correct agent decisions.
Inter-Agent Communication : How multiple agents collaborate or share tasks using protocols like A2A or OAP.
Json Parsing : A core capability for agents to interpret structured inputs and API responses.
Knowledge Base : Storage of facts or documents agents use for