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Try our helpful glossary of terms to make agentic AI topics easier to understand.
|
SOA Term |
Description |
Agentic AI Term |
Description |
|
Service/Microservice |
A discrete unit of functionality that can be accessed remotely and acted upon independently |
Agent |
An autonomous AI entity that can perform specific tasks, make decisions, and interact with other agents |
|
Common Services |
Reusable services that provide shared functionality across multiple applications |
Agentic Tools |
Reusable AI capabilities and functions that agents can utilize to perform common tasks |
|
Service Contract |
A formal specification defining how to interact with a service, including inputs, outputs, and constraints |
Agent Contract |
A specification defining an agent's capabilities, interaction protocols, and behavioral constraints |
|
Service Registry |
A directory where services are published and can be discovered by consumers |
Agent Catalog |
A repository where agents are registered and can be discovered by other agents or orchestrators |
|
Service Bus (ESB) |
Enterprise service bus providing message routing, transformation, and integration capabilities |
Execution Mesh |
Central orchestration layer managing agent lifecycle, routing, and coordination |
|
Orchestration (BPEL) |
Coordinating multiple services to execute complex business processes |
Agentic Orchestrator |
System that coordinates multiple agents to execute complex automated workflows |
|
Loose Coupling |
Services are designed to have minimal dependencies on each other |
Agent Autonomy |
Agents operate independently with minimal dependencies, making autonomous decisions |
|
Service Granularity |
The level of functionality encapsulated within a single service |
Agent Scope |
The breadth and depth of responsibilities assigned to a specific agent |
|
Interoperability |
Ability of different systems and services to work together effectively |
Cross-Agent Standards |
Protocols and standards enabling agents from different systems to collaborate |
|
Service Composition |
Combining multiple services to create higher-level business functionality |
Agent Assembly (or Agent Build) |
Combining multiple agents to create complex autonomous systems and workflows |
|
SLA |
Service Level Agreement defining performance, availability, and quality metrics |
Agent QoS |
Quality of Service metrics defining agent performance, reliability, and response standards |
|
Message Exchange |
Structured communication patterns between services |
Agent Communication Protocol (ACP) |
Standardized methods for agents to exchange information and coordinate actions |
|
Enterprise Integration Patterns (EIP) |
Standard patterns for integrating enterprise applications and services |
Agent Patterns |
Reusable design patterns for agent interaction, coordination, and integration |
|
Service Integration Protocol |
Standard protocols for web service communication and data exchange |
Agent Integration Protocol (AIP) |
Standardized interfaces and protocols for agent communication and integration |
|
Microservices |
Architectural approach using small, independently deployable services |
Agent Tools |
Specialized, focused AI agents designed for specific tasks within larger systems |
|
Event-Driven Architecture |
Architecture where services respond to and produce events for loose coupling |
Agent Triggers |
Event-based activation mechanisms that prompt agents to take specific actions |
|
Service Virtualization |
Creating virtual representations of services for testing and development |
Agent Virtualization |
Creating test agents by abstracting real world conditions for testing, training, and development purposes |
|
Governance |
Policies, processes, and controls for managing services throughout their lifecycle |
Agentic Governance |
Framework for managing agent behavior, compliance, ethics, and lifecycle management |
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