Question
In qbraid-infrastructure, add the 3 models as azurerm_cognitive_deployment entries under ai_foundry_model_deployments in terraform/environments/staging/azure/variables.tf, on the existing qbraid-staging-ai-services account — matching the existing gpt-5.x pattern (main.tf lines ~83–111). Apply through the CI pipeline (see the Azure-CI ticket), and confirm endpoint + deployment names via terraform output.
Decide a reasonable staging sku_capacity per model (well below the prod target). Uses the real model_name / model_version / quota from the discovery ticket.
Question
In
qbraid-infrastructure, add the 3 models asazurerm_cognitive_deploymententries underai_foundry_model_deploymentsinterraform/environments/staging/azure/variables.tf, on the existingqbraid-staging-ai-servicesaccount — matching the existinggpt-5.xpattern (main.tflines ~83–111). Apply through the CI pipeline (see the Azure-CI ticket), and confirm endpoint + deployment names viaterraform output.Decide a reasonable staging
sku_capacityper model (well below the prod target). Uses the realmodel_name/model_version/ quota from the discovery ticket.