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Build experiences that call Generative AI

Workflow with the main stages to build an end-to-end experience that calls an OpenAI GPT model

Introduction

Generative AI in Aura benefits from the auto-generative capabilities of Azure OpenAI GPT models for an accurate understanding of requests and the generation of highly reliable answers.

Steps in the process

a. Prerequisites: Install and enable

Enable ATRIA components in Aura installer

GES team

Check that the required components are enabled. If not:
Enable Generative components
Enable atria-model-gateway
Enable aura-manager (ATRIA web interface)

Publish aura-gateway-api in Kernel

GES team / Kernel DevOps Team

Is aura-gateway-api published in Kernel? If not:
Publish the aura-gateway-api API in Kernel as a prerequisite to call this API

Get a Kernel token

GES team

Check if your Kernel token has already expired. If so:
Get a valid Kernel two-legged token

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b. Build experience

Configure, build and test your experience with Generative/RAG

Use case constructor

Guidelines for ATRIA uses cases constructors

Last modified July 16, 2025: feat: Documentation for Radiohead release #AURA-30277 [RTM] (a6e97074)