create-azure-agent

To deploy an Azure AI Foundry hosted agent, this automation scaffolds Bicep templates and a Python deployment wrapper for an existing skill. It collects Azure configuration like subscription, resource group, and region, then generates the required infrastructure-as-code artifacts.

Automating Azure infrastructure-as-code scaffolding generates a main.bicep template and azure_agent.py wrapper for your existing agent skill. This approach reduces manual setup complexity by validating naming preferences and handling deployment preconditions automatically.

Yes, you need to run az login before deploying an Azure AI Foundry agent. The deployment process checks for az login preconditions and handles missing ARGUMENTS to ensure your Azure environment is properly authenticated before scaffolding.

Azure AI Foundry enforces a 128-tool limit for hosted agents. The deployment scaffolding process checks this constraint automatically when generating Bicep templates and Python wrappers for your existing agent skill.

You can specify subscription, resource group, region, and naming preferences when generating Bicep templates for Azure agents. The automation collects and validates this Azure configuration to produce customized deployment artifacts under the azure_deployment directory.

Scaffolding an Azure AI Foundry agent deployment produces azure_deployment/azure_agent.py and azure_deployment/main.bicep. These files comprise the Python deployment wrapper and Bicep template needed to deploy your existing agent skill to Azure.