Intermediate
What is AI orchestration?
AI Orchestration is the coordination and routing of AI tasks, workflows, model calls, tools, and agents within a system. It helps break complex processes into manageable steps and assign them to the appropriate models, sub-agents, or automation components.
What is function calling in AI agents?
Function calling is a capability that allows a language model to invoke external tools, APIs, or predefined functions. It extends model behavior beyond text generation by enabling structured actions, retrieval, computation, or system integration.
What is the Model Context Protocol?
Model Context Protocol (MCP) is a protocol for connecting AI models or assistants to external tools, data sources, and services through a standardized interface. It helps separate model behavior from tool integration and can improve portability, governance, and context management.
What is action space in agentic AI?
Action Space is the set of tools, operations, permissions, or moves available to an agent when performing a task. A well-scoped action space should be sufficient for the task while limiting unnecessary capabilities that may increase errors or governance risk.
Why do permissions matter for AI agents?
IAM, or Identity and Access Management permissions, are granular access controls that define which principals may perform which actions on which resources. They are commonly assigned through roles to users, groups, service accounts, or applications to enforce least-privilege access.
What is a router agent?
A router agent is an agent that classifies a user request or task and directs it to the most appropriate specialized agent, tool, or workflow. It is used in multi-agent systems to coordinate responsibilities and improve task handling.
Advanced
What is a multi-agent system?
Multi-agent systems are systems composed of multiple interacting agents that can perceive, decide, communicate, and act within an environment. They are used to model distributed problem solving, coordination, negotiation, competition, and collective behavior.
How should agentic AI be governed?
AI Governance is the framework of policies, processes, roles, controls, and oversight used to steer AI development and use across its lifecycle. It aims to ensure responsible, lawful, secure, transparent, and accountable AI practice within an organization or jurisdiction.