Infrastructure · Software component

API Gateway Proxy

Software componentInfrastructureInfrastructureVariation point (abstract)arc:APIGatewayProxy

An abstract reverse proxy at the system entry point that applies cross-cutting traffic policies and forwards requests to backend agent services.

Responsibility. Centralises entry-point traffic handling for all backend agent services.

Also known as: API gateway, Reverse proxy, API layer gateway

guardsis specialized byroutes toemits telemetry toexposesroutes tois specialized byis configured byLLM Inference Service: guardsLLM Inference ServicePolicy Plugin Gateway: is specialized byPolicy Plugin GatewayAgent Service API: routes toAgent Service APILog Aggregator: emits telemetry toLog AggregatorAgent API Gateway: exposesAgent API GatewayREST Agent API: routes toREST Agent APIHigh-Performance Reverse Proxy: is specialized byHigh-Performance Reverse…Gateway Route Configuration: is configured byGateway Route Configurat…
Direct neighbourhood (hover for relationship types)

Variants

VariantWhen to choose
High-Performance Reverse ProxyChoose when maximum performance and operational simplicity outweigh API-management features, authentication/rate limiting live elsewhere, and routing plus load balancing suffice.
Policy Plugin GatewayChoose when centralised policy management, varied authentication schemes (OAuth2, JWT, API keys), traffic transformation or complex routing justify added latency and configuration complexity.

Relationships

exposes structural

is configured by structural

emits telemetry to dynamic

routes to dynamic

guards control

Design guidance

Classification

Patterns
API gatewayCentralised cross-cutting concerns
Technologies
NGINXKong
Quality attributes
Security (ISO/IEC 25010 | NIST AI RMF: secure and resilient)Maintainability (ISO/IEC 25010)Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)
Risks mitigated
Duplicated, inconsistent per-agent authentication and throttling

Sources

  1. Ch4.1: T. Nguyen, "Introduction to AI Agent Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.1. ISBN: 9798244538229.
  2. Ch6.5: T. Nguyen, "Production RAG Systems," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.5. ISBN: 9798244538229.