Automated sync from private repo (2026-03-26) (#625)

* tf samples to match bicep (#101)

* ci: add CODEOWNERS entries (#106)

* Update sync state to 12648bcde39f

---------

Co-authored-by: Dennis Eikelenboom <92387505+deeikele@users.noreply.github.com>
Co-authored-by: Hui Miao <miuhui@outlook.com>
Co-authored-by: foundry-samples-repo-sync[bot] <foundry-samples-repo-sync[bot]@users.noreply.github.com>

Author: 3 people

.github/.sync-sha

@@ -1 +1 @@
-a62fc7d87bb4abd1929c1858296bb29269499697
+12648bcde39fef0e73e7f53d55691ebeb8763379

.github/CODEOWNERS

@@ -39,3 +39,5 @@
 /samples/typescript/quickstart/chat-with-agent/src/quickstart-chat-with-agent.ts @microsoft-foundry/AI-Platform-Docs
 /samples/typescript/quickstart/create-agent/src/quickstart-create-agent.ts @microsoft-foundry/AI-Platform-Docs
 /samples/typescript/quickstart/responses/src/quickstart-responses.ts @microsoft-foundry/AI-Platform-Docs
+samples/python/hosted-agents/agent-framework/azure-ai-agents-in-workflow @microsoft-foundry/foundry-vscode-extension
+samples/csharp/hosted-agents/AgentFramework/AzureAIAgentsInWorkflow @microsoft-foundry/foundry-vscode-extension

infrastructure/infrastructure-setup-terraform/00-basic-azurerm/.skip-tf-validation

@@ -0,0 +1,3 @@
+# This directory is owned by @azure-ai-foundry/ai-platform-docs (see CODEOWNERS).
+# Its .tf files use intentional non-standard HCL formatting that must not be changed.
+# Skipped by infrastructure/infrastructure-setup-terraform/scripts/validate.sh.

infrastructure/infrastructure-setup-terraform/00-basic-azurerm/README.md

@@ -1,5 +1,5 @@
 ---
-description: This set of templates demonstrates how to set up Azure AI Foundry in the basic configuration with public network setup and Microsoft-managed storage resources using AzureRM provider.
+description: This set of templates demonstrates how to set up Microsoft Foundry in the basic configuration with public network setup and Microsoft-managed storage resources using AzureRM provider.
 page_type: sample
 products:
 - azure
@@ -9,11 +9,11 @@ languages:
 - hcl
 ---
 
-# Azure AI Foundry: Basic setup with public networking (AzureRM)
+# Microsoft Foundry: Basic setup with public networking (AzureRM)
 
 ## Key Information
 
-This infrastructure-as-code (IaC) solution deploys Azure AI Foundry with public networking and uses Microsoft-managed storage for file upload experience. It supports getting started scenarios, for typically non-enterprise scenarios. This variant shows AzureRM Terraform provider.
+This infrastructure-as-code (IaC) solution deploys Microsoft Foundry with public networking and uses Microsoft-managed storage for file upload experience. It supports getting started scenarios, for typically non-enterprise scenarios. This variant shows AzureRM Terraform provider.
 
 ## Prerequisites
 
@@ -99,5 +99,5 @@ code/
 
 ## References
 
-- [Learn more about Azure AI Foundry architecture](https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/architecture)
-- [Azure AI Foundry reference docs for Terraform](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/create-resource-terraform)
+- [Learn more about Microsoft Foundry architecture](https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/architecture)
+- [Microsoft Foundry reference docs for Terraform](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/create-resource-terraform)

infrastructure/infrastructure-setup-terraform/00-basic-azurerm/code/example.tfvars

@@ -1 +1 @@
-location = "eastus"
+location = "eastus2"

infrastructure/infrastructure-setup-terraform/00-basic/code/example.tfvars

@@ -1 +1 @@
-location = "eastus"
+location = "eastus2"

infrastructure/infrastructure-setup-terraform/00-basic/code/main.tf

@@ -13,7 +13,7 @@ resource "random_string" "unique" {
 ##
 resource "azapi_resource" "rg" {
   type      = "Microsoft.Resources/resourceGroups@2021-04-01"
-  name      = "rg-aifoundry-${random_string.unique.result}"
+  name      = "tf-319-basic"
   location  = var.location
 }
 
@@ -63,7 +63,7 @@ resource "azapi_resource" "aifoundry_deployment_gpt_4o" {
 
   body = {
     sku = {
-      name     = "GlobalStandard"
+      name     = "Standard"
       capacity = 1
     }
     properties = {

infrastructure/infrastructure-setup-terraform/01-connections/.skip-tf-validation

@@ -0,0 +1,4 @@
+# This directory contains standalone Terraform snippet files, not a complete module.
+# Each .tf file declares its own terraform{} and provider blocks and is meant to be
+# copied into an existing Terraform configuration, not run directly.
+# Skipped by infrastructure/infrastructure-setup-terraform/scripts/validate.sh.

infrastructure/infrastructure-setup-terraform/01-connections/README.md

@@ -0,0 +1,37 @@
+# Connections Terraform Examples
+
+Connections enable your AI applications to access tools and objects managed elsewhere in or outside of Azure.
+
+This folder provides Terraform examples for the most common connection categories:
+
+- **AI Search**: Connect to Azure AI Search (Cognitive Search) services
+- **Key Vault**: Securely access secrets and keys
+- **Application Insights**: Enable monitoring and telemetry
+- **Azure OpenAI**: Connect to Azure OpenAI endpoints
+- **Storage Account**: Access Azure Storage for data
+- **Cosmos DB**: Connect to Cosmos DB databases
+- **Bing Grounding**: Enable Bing Search for grounding
+
+## Usage
+
+Each file demonstrates how to create a specific connection type using Terraform with the AzAPI provider. These are example snippets that you can integrate into your own Terraform configurations.
+
+## Prerequisites
+
+- An existing Microsoft Foundry account
+- The target resource you want to connect (e.g., AI Search service, Key Vault, etc.)
+- Appropriate permissions to create connections
+
+## Important Notes
+
+- Uses AzAPI provider for connection resources (not yet in Az
+ureRM)
+- Some connections require API keys or managed identity configuration
+- Role assignments may be needed for managed identity auth
+
+## Documentation
+
+- [Microsoft Foundry connections](https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/connections)
+- [AzAPI Provider](https://registry.terraform.io/providers/azure/azapi/latest/docs)
+
+`Tags: Microsoft.CognitiveServices/accounts/connections, Integration`

infrastructure/infrastructure-setup-terraform/01-connections/connection-ai-search.tf

@@ -0,0 +1,108 @@
+# Example: Azure AI Search Connection
+# This example shows how to create a connection from AI Foundry to Azure AI Search
+
+terraform {
+  required_providers {
+    azapi = {
+      source  = "azure/azapi"
+      version = "~> 2.5"
+    }
+    azurerm = {
+      source  = "hashicorp/azurerm"
+      version = "~> 4.37"
+    }
+  }
+}
+
+provider "azapi" {}
+provider "azurerm" {
+  features {}
+}
+
+variable "ai_foundry_name" {
+  description = "Name of your existing AI Foundry account"
+  type        = string
+}
+
+variable "resource_group_name" {
+  description = "Resource group containing AI Foundry account"
+  type        = string
+}
+
+variable "location" {
+  description = "Azure region"
+  type        = string
+  default     = "westus"
+}
+
+variable "create_new_search" {
+  description = "Create new AI Search service or use existing"
+  type        = bool
+  default     = true
+}
+
+variable "search_service_name" {
+  description = "Name of the AI Search service"
+  type        = string
+}
+
+# Reference existing AI Foundry account
+data "azurerm_resource_group" "rg" {
+  name = var.resource_group_name
+}
+
+data "azapi_resource" "ai_foundry" {
+  type      = "Microsoft.CognitiveServices/accounts@2025-04-01-preview"
+  name      = var.ai_foundry_name
+  parent_id = data.azurerm_resource_group.rg.id
+}
+
+# Conditionally create new AI Search service
+resource "azurerm_search_service" "search" {
+  count               = var.create_new_search ? 1 : 0
+  name                = var.search_service_name
+  resource_group_name = var.resource_group_name
+  location            = var.location
+  sku                 = "basic"
+}
+
+# Reference existing AI Search service
+data "azurerm_search_service" "existing" {
+  count               = var.create_new_search ? 0 : 1
+  name                = var.search_service_name
+  resource_group_name = var.resource_group_name
+}
+
+locals {
+  search_endpoint = var.create_new_search ? "https://${azurerm_search_service.search[0].name}.search.windows.net" : "https://${data.azurerm_search_service.existing[0].name}.search.windows.net"
+  search_id       = var.create_new_search ? azurerm_search_service.search[0].id : data.azurerm_search_service.existing[0].id
+  search_primary_key = var.create_new_search ? azurerm_search_service.search[0].primary_key : data.azurerm_search_service.existing[0].primary_key
+}
+
+# Create AI Search connection
+resource "azapi_resource" "ai_search_connection" {
+  type      = "Microsoft.CognitiveServices/accounts/connections@2025-04-01-preview"
+  name      = "${var.ai_foundry_name}-aisearch"
+  parent_id = data.azapi_resource.ai_foundry.id
+
+  body = {
+    properties = {
+      category      = "CognitiveSearch"
+      target        = local.search_endpoint
+      authType      = "ApiKey"
+      isSharedToAll = true
+      credentials = {
+        key = local.search_primary_key
+      }
+      metadata = {
+        ApiType    = "Azure"
+        ResourceId = local.search_id
+        location   = var.location
+      }
+    }
+  }
+}
+
+output "connection_id" {
+  value = azapi_resource.ai_search_connection.id
+}