ai-foundry-operations

To provision Azure AI Foundry resources using Terraform, you follow guided steps that deploy infrastructure via Terraform modules and Azure CLI. This approach reduces setup time and operational risk for configuring OpenAI model deployments.

Configuring a RAG pipeline in Azure AI Foundry involves deploying OpenAI models and setting up retrieval-augmented generation infrastructure. The Skill guides you through provisioning steps and configuring the pipeline to monitor token usage and costs.

Yes, you need Azure CLI and Terraform to manage OpenAI model deployments. The Skill requires Terraform modules and Azure CLI access with defined prerequisites to execute provisioning steps and perform day-2 operations.

Yes, you can perform day-2 operations on Azure AI Foundry in LATAM regions. The Skill supports resource management, deployments, and testing in production environments specifically applied across LATAM region workloads.

The best way to monitor token usage and costs for OpenAI models in Azure is by configuring RAG pipelines through AI Foundry. The Skill guides operational tasks that include end-to-end monitoring of usage and expenses.