entra-agent-id

tarafından microsoft

Microsoft Entra Agent ID (önizleme), Microsoft Graph beta API üzerinden OAuth2 destekli yapay zeka aracı kimlikleri oluşturmak içindir. Agent Identity Blueprints, BlueprintPrincipals, Agent Identities, gerekli izinler, sponsorlar ve Workload Identity Federation kapsar. Polyglot aracı kimlik doğrulaması (Docker/Kubernetes), 3P aracı entegrasyonu, otonom ve etkileşimli aracı desenleri için Microsoft Entra SDK for AgentID (konteynerleştirilmiş sidecar) içerir. Tetikleyiciler: "agent identity", "agent id", "Agent Identity Blueprint", "BlueprintPrincipal", "entra agent", "agent identity provisioning", "Graph agent identity", "entra sidecar", "agent id sidecar", "auth sidecar", "3P agent", "third-party agent identity", "polyglot agent auth".

npx skills add https://github.com/microsoft/skills --skill entra-agent-id

Microsoft Entra Agent ID

Create and manage OAuth2-capable identities for AI agents using Microsoft Graph beta API.

Preview API — All Agent Identity endpoints are under /beta only. Not available in /v1.0.

Before You Start

Search microsoft-docs MCP for the latest Agent ID documentation:

  • Query: "Microsoft Entra agent identity setup"
  • Verify: API parameters match current preview behavior

Conceptual Model

Agent Identity Blueprint (application)        ← one per agent type/project
  └── BlueprintPrincipal (service principal)   ← MUST be created explicitly
        ├── Agent Identity (SP): agent-1       ← one per agent instance
        ├── Agent Identity (SP): agent-2
        └── Agent Identity (SP): agent-3

Prerequisites

PowerShell (recommended for interactive setup)

# Requires PowerShell 7+
Install-Module Microsoft.Graph.Beta.Applications -Scope CurrentUser -Force

Python (for programmatic provisioning)

pip install azure-identity requests

Required Entra Roles

One of: Agent Identity Developer, Agent Identity Administrator, or Application Administrator.

Environment Variables

AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<app-registration-client-id>
AZURE_CLIENT_SECRET=<app-registration-secret>

Authentication

⚠️ DefaultAzureCredential is NOT supported. Azure CLI tokens contain Directory.AccessAsUser.All, which Agent Identity APIs explicitly reject (403). You MUST use a dedicated app registration with client_credentials flow or connect via Connect-MgGraph with explicit delegated scopes.

PowerShell (delegated permissions)

Connect-MgGraph -Scopes @(
    "AgentIdentityBlueprint.Create",
    "AgentIdentityBlueprint.ReadWrite.All",
    "AgentIdentityBlueprintPrincipal.Create",
    "User.Read"
)
Set-MgRequestContext -ApiVersion beta

$currentUser = (Get-MgContext).Account
$userId = (Get-MgUser -UserId $currentUser).Id

Python (application permissions)

import os
import requests
from azure.identity import ClientSecretCredential

credential = ClientSecretCredential(
    tenant_id=os.environ["AZURE_TENANT_ID"],
    client_id=os.environ["AZURE_CLIENT_ID"],
    client_secret=os.environ["AZURE_CLIENT_SECRET"],
)
token = credential.get_token("https://graph.microsoft.com/.default")

GRAPH = "https://graph.microsoft.com/beta"
headers = {
    "Authorization": f"Bearer {token.token}",
    "Content-Type": "application/json",
    "OData-Version": "4.0",  # Required for all Agent Identity API calls
}

Core Workflow

Step 1: Create Agent Identity Blueprint

Sponsors are required and must be User objects — ServicePrincipals and Groups are rejected.

import subprocess

# Get sponsor user ID (client_credentials has no user context, so use az CLI)
result = subprocess.run(
    ["az", "ad", "signed-in-user", "show", "--query", "id", "-o", "tsv"],
    capture_output=True, text=True, check=True,
)
user_id = result.stdout.strip()

blueprint_body = {
    "@odata.type": "Microsoft.Graph.AgentIdentityBlueprint",
    "displayName": "My Agent Blueprint",
    "sponsors@odata.bind": [
        f"https://graph.microsoft.com/beta/users/{user_id}"
    ],
}
resp = requests.post(f"{GRAPH}/applications", headers=headers, json=blueprint_body)
resp.raise_for_status()

blueprint = resp.json()
app_id = blueprint["appId"]
blueprint_obj_id = blueprint["id"]

Step 2: Create BlueprintPrincipal

This step is mandatory. Creating a Blueprint does NOT auto-create its service principal. Without this, Agent Identity creation fails with: 400: The Agent Blueprint Principal for the Agent Blueprint does not exist.

sp_body = {
    "@odata.type": "Microsoft.Graph.AgentIdentityBlueprintPrincipal",
    "appId": app_id,
}
resp = requests.post(f"{GRAPH}/servicePrincipals", headers=headers, json=sp_body)
resp.raise_for_status()

If implementing idempotent scripts, check for and create the BlueprintPrincipal even when the Blueprint already exists (a previous run may have created the Blueprint but crashed before creating the SP).

Step 3: Create Agent Identities

agent_body = {
    "@odata.type": "Microsoft.Graph.AgentIdentity",
    "displayName": "my-agent-instance-1",
    "agentIdentityBlueprintId": app_id,
    "sponsors@odata.bind": [
        f"https://graph.microsoft.com/beta/users/{user_id}"
    ],
}
resp = requests.post(f"{GRAPH}/servicePrincipals", headers=headers, json=agent_body)
resp.raise_for_status()
agent = resp.json()

API Reference

OperationMethodEndpointOData Type
Create BlueprintPOST/applicationsMicrosoft.Graph.AgentIdentityBlueprint
Create BlueprintPrincipalPOST/servicePrincipalsMicrosoft.Graph.AgentIdentityBlueprintPrincipal
Create Agent IdentityPOST/servicePrincipalsMicrosoft.Graph.AgentIdentity
List Agent IdentitiesGET/servicePrincipals?$filter=...—
Delete Agent IdentityDELETE/servicePrincipals/{id}—
Delete BlueprintDELETE/applications/{id}—

All endpoints use base URL: https://graph.microsoft.com/beta

Required Permissions

PermissionPurpose
Application.ReadWrite.AllBlueprint CRUD (application objects)
AgentIdentityBlueprint.CreateCreate new Blueprints
AgentIdentityBlueprint.ReadWrite.AllRead/update Blueprints
AgentIdentityBlueprintPrincipal.CreateCreate BlueprintPrincipals
AgentIdentity.Create.AllCreate Agent Identities
AgentIdentity.ReadWrite.AllRead/update Agent Identities

There are 18 Agent Identity-specific Graph application permissions. Discover all:

az ad sp show --id 00000003-0000-0000-c000-000000000000 \
  --query "appRoles[?contains(value, 'AgentIdentity')].{id:id, value:value}" -o json

Grant admin consent (required for application permissions):

az ad app permission admin-consent --id <client-id>

Admin consent may fail with 404 if the service principal hasn't replicated. Retry with 10–40s backoff.

Cleanup

# Delete Agent Identity
requests.delete(f"{GRAPH}/servicePrincipals/{agent['id']}", headers=headers)

# Delete BlueprintPrincipal (get SP ID first)
sps = requests.get(
    f"{GRAPH}/servicePrincipals?$filter=appId eq '{app_id}'",
    headers=headers,
).json()
for sp in sps.get("value", []):
    requests.delete(f"{GRAPH}/servicePrincipals/{sp['id']}", headers=headers)

# Delete Blueprint
requests.delete(f"{GRAPH}/applications/{blueprint_obj_id}", headers=headers)

Best Practices

  1. Always create BlueprintPrincipal after Blueprint — not auto-created; implement idempotent checks on both
  2. Use User objects as sponsors — ServicePrincipals and Groups are rejected
  3. Handle permission propagation delays — after admin consent, wait 30–120s; retry with backoff on 403
  4. Include OData-Version: 4.0 header on every Graph request
  5. Use Workload Identity Federation for production auth — for local dev, use a client secret on the Blueprint (see references/oauth2-token-flow.md)
  6. Set identifierUris on Blueprint before using OAuth2 scoping (api://{app-id})
  7. Never use Azure CLI tokens for API calls — they contain Directory.AccessAsUser.All which is hard-rejected
  8. Check for existing resources before creating — implement idempotent provisioning

References

FileContents
references/oauth2-token-flow.mdProduction (Managed Identity + WIF) and local dev (client secret) token flows
references/known-limitations.md29 known issues organized by category (from official preview known-issues page)
references/sdk-sidecar.mdMicrosoft Entra SDK for AgentID — endpoints, 3P agent patterns, Docker/K8s deployment, security

External Links

ResourceURL
Official Setup Guidehttps://learn.microsoft.com/en-us/entra/agent-id/identity-platform/agent-id-setup-instructions
AI-Guided Setuphttps://learn.microsoft.com/en-us/entra/agent-id/identity-platform/agent-id-ai-guided-setup
Microsoft Entra SDK for AgentID — Overviewhttps://learn.microsoft.com/en-us/entra/msidweb/agent-id-sdk/overview
Microsoft Entra SDK for AgentID — Endpointshttps://learn.microsoft.com/en-us/entra/msidweb/agent-id-sdk/endpoints

microsoft tarafından daha fazla skill

oss-growth
microsoft
OSS büyüme korsanı kişiliği
agent-framework-azure-ai-py
microsoft
Microsoft Agent Framework Python SDK'sini (agent-framework-azure-ai) kullanarak Azure AI Foundry aracıları oluşturun. AzureAIAgentsProvider ile kalıcı aracılar oluştururken, barındırılan araçları (kod yorumlayıcı, dosya arama, web araması) kullanırken, MCP sunucularını entegre ederken, konuşma iş parçacıklarını yönetirken veya akış yanıtları uygularken kullanın. Fonksiyon araçlarını, yapılandırılmış çıktıları ve çok araçlı aracıları kapsar.
development
airunway-aks-setup
microsoft
AI Runway'ı AKS üzerinde kurun — çıplak kümeden çalışan modele kadar. Küme doğrulama, denetleyici kurulumu, GPU değerlendirmesi, sağlayıcı yapılandırması ve ilk dağıtımı kapsar. NE ZAMAN: "AI Runway kur", "AKS kümesini onboard et", "AI Runway yükle", "airunway kurulumu", "AKS'e model dağıt", "AKS üzerinde GPU çıkarımı", "AKS üzerinde KAITO kurulumu", "AKS üzerinde LLM çalıştır", "AKS üzerinde vLLM", "AKS üzerinde model sunumu ayarla", "AI Runway denetleyicisi".
devops
appinsights-instrumentation
microsoft
Azure Application Insights ile web uygulamalarını enstrümante etme rehberi. Telemetri desenleri, SDK kurulumu ve yapılandırma referansları sağlar. NE ZAMAN: uygulama nasıl enstrümante edilir, App Insights SDK, telemetri desenleri, App Insights nedir, Application Insights rehberliği, enstrümantasyon örnekleri, APM en iyi uygulamaları.
devops
applicationinsights-web-ts
microsoft
Tarayıcı/web uygulamalarını Application Insights JavaScript SDK'sı (@microsoft/applicationinsights-web) ile izleyin. Gerçek Kullanıcı İzleme (RUM) için kullanın — sayfa görünümleri, tıklamalar, AJAX/fetch bağımlılıkları, özel durumlar, özel olaylar ve arka uç OpenTelemetry izleriyle ilişkilendirilen tarayıcı tarafı GenAI aracı izleri. SDK Loader Script ve npm kurulumunu, çerçeve uzantılarını (React, React Native, Angular), Tıklama Analitiğini, telemetri başlatıcılarını ve tarayıcıdan yayılan aracı/araç/model yayılımları için OTel GenAI anlamsal kurallarını kapsar.
devops
azure-ai-anomalydetector-java
microsoft
Azure AI Anomaly Detector SDK for Java ile anomali tespiti uygulamaları oluşturun. Tek değişkenli/çok değişkenli anomali tespiti, zaman serisi analizi veya yapay zeka destekli izleme uygularken kullanın.
development
azure-ai-language-conversations-py
microsoft
azure-ai-language-conversations Python SDK'sini kullanarak Konuşma Dili Anlama (CLU) uygulayın. ConversationAnalysisClient ile konuşma niyetini ve varlıklarını analiz etmek, NLP özellikleri oluşturmak veya dil anlamayı uygulamalara entegre etmek için kullanın.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Makine öğrenimi çalışma alanları, işler, modeller, veri kümeleri, bilgi işlem ve iş akışları için kullanın. Tetikleyiciler: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development