CI/CD + GenAI Gateway

Production AI applications should not be manually deployed every time.

A CI/CD pipeline can automate:

Code
 ↓
Build
 ↓
Test
 ↓
Security Scan
 ↓
Deploy
 ↓
Monitor
 ↓
Rollback if required

Conceptually:

Developer
   ↓
Source
   ↓
CodePipeline
   ↓
CodeBuild
   ↓
Tests
   ↓
Security Scan
   ↓
Deploy

A GenAI gateway provides a centralized abstraction/control layer between applications and model providers.

Application A ──┐
Application B ──┼──→ GenAI Gateway → Models
Application C ──┘

The gateway can conceptually centralize:

• model access
• routing
• observability
• controls
• policies
• usage management

Without abstraction:

App → Model A
App → Model B
App → Model C

Changing models may require modifying many applications.

With a gateway:

Apps
 ↓
GenAI Gateway
 ↓
Models

The application remains more isolated from model-provider details.

2.4 — Implement FM API Integrations

This section focuses specifically on how applications communicate with foundation models.

Think:

Application
    ↓
API Layer
    ↓
FM
    ↓
Response

But production systems also need:

• asynchronous processing
• streaming
• retries
• rate limiting
• fallback
• routing
• observability