foundry-agent-sync
Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them immediately available for invocation. Use when the
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SKILL.md
Foundry Agent Sync
Overview
Create and synchronize prompt-based AI agents directly within Azure AI Foundry via the Agent Service REST API. This skill registers agents in the Foundry service itself — making them immediately available for invocation, evaluation, and management through the Foundry portal or API. Each agent is created or updated idempotently via a named POST call, using definitions from a local JSON manifest file.
Key distinction: This skill creates agents inside AI Foundry (server-side). It does not scaffold local agent code or container images — for that, use the
microsoft-foundryskill'screatesub-skill.
Prerequisites
The user must have:
- An Azure AI Foundry project with a deployed model (e.g.
gpt-5-4) - Azure CLI (
az) authenticated with access to the Foundry project - The Azure AI User role (or higher) on the Foundry project resource
Collect these values before proceeding:
| Value | How to get it |
|---|---|
| Foundry project endpoint | Azure Portal → AI Foundry project → Overview → Endpoint, or az resource show |
| Subscription ID | az account show --query id -o tsv |
| Model deployment name | The model name deployed in the Foundry project (e.g. gpt-5-4) |
Manifest Format
The manifest is a JSON array where each entry defines one agent. Look for it at common paths: infra/foundry-agents.json, foundry-agents.json, or .foundry/agents.json. If none exists, scaffold one.
[
{
"useCaseId": "alert-triage",
"description": "Short description of what this agent does.",
"baseInstruction": "You are an assistant that... <system prompt for the agent>"
}
]
Field Reference
| Field | Required | Description |
|---|---|---|
useCaseId | Yes | Kebab-case identifier; used to build the agent name ({prefix}-{useCaseId}) |
description | Yes | Human-readable description stored as agent metadata |
baseInstruction | Yes | System prompt / base instructions for the agent |
Sync Script
PowerShell (interactive / CI)
Create or locate the sync script. The canonical path is infra/scripts/sync-foundry-agents.ps1 but adapt to the repo layout.
param(
[Parameter(Mandatory)]
[string]$SubscriptionId,
[Parameter(Mandatory)]
[string]$ProjectEndpoint,
[string]$ManifestPath = (Join-Path $PSScriptRoot '..\foundry-agents.json'),
[string]$ModelName = 'gpt-5-4',
[string]$AgentNamePrefix = 'myproject',
[string]$ApiVersion = '2025-11-15-preview'
)
$ErrorActionPreference = 'Stop'
# Optional: append a common instruction suffix to every agent
$commonSuffix = ''
az account set --subscription $SubscriptionId | Out-Null
$accessToken = az account get-access-token --resource https://ai.azure.com/ --query accessToken -o tsv
if (-not $accessToken) { throw 'Failed to acquire Foundry access token.' }
$definitions = Get-Content -Raw -Path $ManifestPath | ConvertFrom-Json
$headers = @{ Authorization = "Bearer $accessToken" }
$results = @()
foreach ($def in $definitions) {
$agentName = "$AgentNamePrefix-$($def.useCaseId)"
$instructions = if ($commonSuffix) { "$($def.baseInstruction)`n`n$commonSuffix" } else { $def.baseInstruction }
$body = @{
definition = @{ kind = 'prompt'; model = $ModelName; instructions = $instructions }
description = $def.description
metadata = @{ useCaseId = $def.useCaseId; managedBy = 'foundry-agent-sync' }
} | ConvertTo-Json -Depth 8
$uri = "$($ProjectEndpoint.TrimEnd('/'))/agents/$agentName`?api-version=$ApiVersion"
$resp = Invoke-RestMethod -Method Post -Uri $uri -Headers $headers -ContentType 'application/json' -Body $body
$version = $resp.version ?? $resp.latest_version ?? $resp.id ?? 'unknown'
Write-Host "Synced $agentName ($version)"
$results += [pscustomobject]@{ name = $agentName; version = $version }
}
$results | Format-Table -AutoSize
Bash (Bicep deployment script / CI)
For automated deployment via Microsoft.Resources/deploymentScripts, use a bash script that:
- Authenticates with a managed identity:
az login --identity --username "$CLIENT_ID" - Acquires a Foundry token:
az account get-access-token --resource https://ai.azure.com/ - Iterates definitions from the
FOUNDRY_AGENT_DEFINITIONSenvironment variable (JSON string) - POSTs each agent to
{endpoint}/agents/{name}?api-version=2025-11-15-preview
Bicep Integration (optional)
To run the sync automatically during infrastructure deployment:
-
Load the manifest at compile time:
var agentDefinitions = loadJsonContent('foundry-agents.json') -
Create a User-Assigned Managed Identity with the Azure AI User role on the Foundry project.
-
Create a
Microsoft.Resources/deploymentScriptsresource (kindAzureCLI) that:- Uses the managed identity
- Loads the bash sync script via
loadTextContent - Passes the project endpoint, definitions, and model as environment variables
Gate behind a deployFoundryAgents parameter so teams can opt in/out.
Workflow
Step 1 — Locate or scaffold the manifest
Search the repo for foundry-agents.json. If it doesn't exist, ask the user what agents they need and create the manifest.
Step 2 — Locate or scaffold the sync script
Search for sync-foundry-agents.ps1 or foundry-agent-sync.sh. If missing, create the PowerShell script using the template above, adapting:
$AgentNamePrefixto match the project name$ModelNameto the user's deployed model$ManifestPathto the actual manifest location
Step 3 — Collect parameters
Ask the user for:
- Foundry project endpoint
- Subscription ID
- Model deployment name (default:
gpt-5-4) - Agent name prefix (default: repo name in kebab-case)
Step 4 — Run the sync
Execute the PowerShell script with the collected parameters:
.\infra\scripts\sync-foundry-agents.ps1 `
-SubscriptionId '<sub-id>' `
-ProjectEndpoint '<endpoint>' `
-ModelName '<model>' `
-AgentNamePrefix '<prefix>'
Step 5 — Verify
Confirm synced agents by listing them:
$token = az account get-access-token --resource https://ai.azure.com/ --query accessToken -o tsv
$endpoint = '<project-endpoint>'
Invoke-RestMethod -Uri "$endpoint/agents?api-version=2025-11-15-preview" `
-Headers @{ Authorization = "Bearer $token" }
REST API Reference
| Operation | Method | URL |
|---|---|---|
| Create/update agent | POST | {projectEndpoint}/agents/{agentName}?api-version=2025-11-15-preview |
| List agents | GET | {projectEndpoint}/agents?api-version=2025-11-15-preview |
| Get agent | GET | {projectEndpoint}/agents/{agentName}?api-version=2025-11-15-preview |
| Delete agent | DELETE | {projectEndpoint}/agents/{agentName}?api-version=2025-11-15-preview |
Create/Update Payload
{
"definition": {
"kind": "prompt",
"model": "<deployed-model-name>",
"instructions": "<system prompt>"
},
"description": "<agent description>",
"metadata": {
"useCaseId": "<use-case-id>",
"managedBy": "foundry-agent-sync"
}
}
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
401 Unauthorized | Token expired or wrong audience | Re-run az account get-access-token --resource https://ai.azure.com/ |
403 Forbidden | Missing Azure AI User role | Assign the role on the Foundry project scope |
404 Not Found | Wrong project endpoint | Verify endpoint includes /api/projects/{projectName} |
| Model not found | Model not deployed in project | Deploy the model in AI Foundry portal first |
| Empty definitions | Manifest path wrong | Check -ManifestPath points to the JSON file |
Files
1- SKILL.md
462c67ae7d8.2 KB
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