| Azure Identity SDK for Python authentication with Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
npx skills add https://github.com/microsoft/skills --skill azure-identity-py
Authentication library for Azure SDK clients using Microsoft Entra ID.
Use this skill when:
DefaultAzureCredential for local dev + Azure deploymentManagedIdentityCredential for Azure-hosted workloadsget_token()pip install azure-identity
For VS Code or broker-based desktop auth:
pip install azure-identity-broker
azure-identity supports Python 3.9+.
# Service principal with client secret
AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<your-client-id>
AZURE_CLIENT_SECRET=<your-client-secret>
# Service principal with certificate
AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<your-client-id>
AZURE_CLIENT_CERTIFICATE_PATH=/path/to/cert.pem
AZURE_CLIENT_CERTIFICATE_PASSWORD=<optional-password>
# Authority (sovereign clouds)
AZURE_AUTHORITY_HOST=login.microsoftonline.com # Default; or login.chinacloudapi.cn, login.microsoftonline.us
# User-assigned managed identity
AZURE_CLIENT_ID=<managed-identity-client-id>
# Credential selection (new)
AZURE_TOKEN_CREDENTIALS=dev|prod|<credential-name> # Optional, restricts DAC chain
> 🔑 Two rules apply to every code sample below:
>
> 1. Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
> - Local dev: DefaultAzureCredential works as-is.
> - Production: set AZURE_TOKEN_CREDENTIALS=prod (or AZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.
> 2. Wrap credentials and clients in context managers when they own token caches / transports:
> - Sync: with DefaultAzureCredential() as credential:
> - Async: async with DefaultAzureCredential() as credential: (from azure.identity.aio)
>
> Snippets may abbreviate this setup, but production code should always follow both rules.
The recommended credential for most scenarios. Tries multiple authentication methods in order:
from azure.identity import DefaultAzureCredential
from azure.storage.blob import BlobServiceClient
# Works in local dev AND production without code changes
credential = DefaultAzureCredential()
with BlobServiceClient(
account_url="https://<account>.blob.core.windows.net",
credential=credential
) as client:
containers = list(client.list_containers())
See DefaultAzureCredential overview for the current credential chain order and defaults.
# Exclude credentials you don't need
credential = DefaultAzureCredential(
exclude_environment_credential=True,
exclude_shared_token_cache_credential=True,
managed_identity_client_id="<user-assigned-mi-client-id>" # For user-assigned MI (also accepts object ID or resource ID)
)
# Enable interactive browser (disabled by default)
credential = DefaultAzureCredential(
exclude_interactive_browser_credential=False
)
# Set subprocess timeout for CLI-based credentials (default: 10s)
credential = DefaultAzureCredential(process_timeout=30)
# Require AZURE_TOKEN_CREDENTIALS env var to be set
credential = DefaultAzureCredential(require_envvar=True)
| Parameter | Default | Effect |
|-----------|---------|--------|
| exclude_environment_credential | False | Skip env-var-based auth |
| exclude_workload_identity_credential | False | Skip Kubernetes workload identity |
| exclude_managed_identity_credential | False | Skip managed identity |
| exclude_shared_token_cache_credential | False | Skip shared token cache |
| exclude_visual_studio_code_credential | False | Skip VS Code credential |
| exclude_cli_credential | False | Skip Azure CLI |
| exclude_powershell_credential | False | Skip Azure PowerShell |
| exclude_developer_cli_credential | False | Skip Azure Developer CLI |
| exclude_interactive_browser_credential | True | Skip interactive browser |
| exclude_broker_credential | False | Skip WAM broker |
Helper that wraps a credential into a callable returning a bearer token string. Essential for OpenAI SDK and other non-Azure-SDK clients:
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
credential = DefaultAzureCredential()
token_provider = get_bearer_token_provider(
credential, "https://cognitiveservices.azure.com/.default"
)
# Use with OpenAI SDK
from openai import AzureOpenAI
with AzureOpenAI(
azure_endpoint="https://<resource>.openai.azure.com/",
azure_ad_token_provider=token_provider,
api_version="2024-10-21",
) as client:
# response = client.chat.completions.create(...)
...
| Credential | Use Case |
|------------|----------|
| DefaultAzureCredential | Most scenarios — auto-detects environment |
| ChainedTokenCredential | Custom credential chain with explicit ordering |
| Credential | Use Case |
|------------|----------|
| EnvironmentCredential | Auth via AZURE_CLIENT_SECRET / AZURE_CLIENT_CERTIFICATE_PATH env vars |
| ManagedIdentityCredential | Azure VMs, App Service, Functions, AKS, Arc, Service Fabric |
| WorkloadIdentityCredential | Kubernetes with Microsoft Entra Workload ID |
| Credential | Use Case |
|------------|----------|
| ClientSecretCredential | Service principal with client secret |
| CertificateCredential | Service principal with PEM/PKCS12 certificate |
| ClientAssertionCredential | Service principal with signed JWT assertion |
| AzurePipelinesCredential | Azure Pipelines with workload identity federation |
| OnBehalfOfCredential | Middle-tier on-behalf-of flow (delegated user identity) |
| Credential | Use Case |
|------------|----------|
| InteractiveBrowserCredential | Interactive browser OAuth sign-in |
| DeviceCodeCredential | Headless/SSH device code flow |
| AuthorizationCodeCredential | Previously obtained authorization code |
| Credential | Use Case |
|------------|----------|
| AzureCliCredential | az login |
| AzureDeveloperCliCredential | azd auth login |
| AzurePowerShellCredential | Connect-AzAccount |
| VisualStudioCodeCredential | VS Code Azure Resources extension |
For Azure-hosted resources (VMs, App Service, Functions, AKS):
from azure.identity import ManagedIdentityCredential
# System-assigned managed identity
credential = ManagedIdentityCredential()
# User-assigned managed identity (client_id, object_id, or resource_id)
credential = ManagedIdentityCredential(
client_id="<user-assigned-mi-client-id>"
)
# Also valid:
# credential = ManagedIdentityCredential(object_id="<object-id>")
# credential = ManagedIdentityCredential(resource_id="<resource-id>")
import os
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"],
)
> Note: The class is CertificateCredential, NOT ClientCertificateCredential.
from azure.identity import CertificateCredential
# From file path
credential = CertificateCredential(
tenant_id="<tenant-id>",
client_id="<client-id>",
certificate_path="/path/to/cert.pem",
)
# From bytes with password
credential = CertificateCredential(
tenant_id="<tenant-id>",
client_id="<client-id>",
certificate_data=cert_bytes,
password="<cert-password>",
send_certificate_chain=True, # Required for SNI auth
)
from azure.identity import AzureCliCredential
credential = AzureCliCredential()
# With tenant restriction
credential = AzureCliCredential(tenant_id="<tenant-id>")
Custom credential chain:
from azure.identity import (
ChainedTokenCredential,
ManagedIdentityCredential,
AzureCliCredential,
)
# Try managed identity first, fall back to CLI
credential = ChainedTokenCredential(
ManagedIdentityCredential(client_id="<user-assigned-mi-client-id>"),
AzureCliCredential(),
)
For Azure Kubernetes Service with workload identity:
from azure.identity import WorkloadIdentityCredential
# Reads from AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_FEDERATED_TOKEN_FILE
credential = WorkloadIdentityCredential()
# Or explicit configuration
credential = WorkloadIdentityCredential(
tenant_id="<tenant-id>",
client_id="<client-id>",
token_file_path="/var/run/secrets/azure/tokens/azure-identity-token",
)
For headless devices (IoT, SSH, CLI tools):
from azure.identity import DeviceCodeCredential
credential = DeviceCodeCredential()
# Prints device code prompt to stdout by default
# With custom prompt callback
def prompt_callback(verification_uri, user_code, expires_on):
print(f"Go to {verification_uri} and enter code {user_code}")
credential = DeviceCodeCredential(
client_id="<client-id>",
prompt_callback=prompt_callback,
)
For interactive OAuth browser sign-in:
from azure.identity import InteractiveBrowserCredential
credential = InteractiveBrowserCredential()
# With specific tenant and client
credential = InteractiveBrowserCredential(
tenant_id="<tenant-id>",
client_id="<client-id>",
)
For middle-tier services propagating user identity:
from azure.identity import OnBehalfOfCredential
credential = OnBehalfOfCredential(
tenant_id="<tenant-id>",
client_id="<client-id>",
client_secret="<client-secret>",
user_assertion="<access-token-from-client>",
)
For Azure DevOps pipelines with workload identity federation:
import os
from azure.identity import AzurePipelinesCredential
credential = AzurePipelinesCredential(
tenant_id="<tenant-id>",
client_id="<client-id>",
service_connection_id="<service-connection-id>",
system_access_token=os.environ["SYSTEM_ACCESSTOKEN"],
)
from azure.identity import DefaultAzureCredential
with DefaultAzureCredential() as credential:
# Get token for a specific scope
token = credential.get_token("https://management.azure.com/.default")
print(f"Token expires: {token.expires_on}")
# For Azure Database for PostgreSQL
token = credential.get_token("https://ossrdbms-aad.database.windows.net/.default")
Async credentials are in azure.identity.aio. Always close them or use async with:
from azure.identity.aio import DefaultAzureCredential
from azure.storage.blob.aio import BlobServiceClient
async def main():
# Preferred: use async context manager for both credential and client
async with DefaultAzureCredential() as credential:
async with BlobServiceClient(
account_url="https://<account>.blob.core.windows.net",
credential=credential,
) as client:
# ... async operations
pass
> The async get_bearer_token_provider is at azure.identity.aio.get_bearer_token_provider.
Use AzureAuthorityHosts or the AZURE_AUTHORITY_HOST env var:
from azure.identity import DefaultAzureCredential, AzureAuthorityHosts
# Azure Government
credential = DefaultAzureCredential(authority=AzureAuthorityHosts.AZURE_GOVERNMENT)
# Azure China
credential = DefaultAzureCredential(authority=AzureAuthorityHosts.AZURE_CHINA)
| Constant | Authority |
|----------|-----------|
| AzureAuthorityHosts.AZURE_PUBLIC_CLOUD | login.microsoftonline.com (default) |
| AzureAuthorityHosts.AZURE_GOVERNMENT | login.microsoftonline.us |
| AzureAuthorityHosts.AZURE_CHINA | login.chinacloudapi.cn |
Opt-in disk-based caching with TokenCachePersistenceOptions:
from azure.identity import DefaultAzureCredential, TokenCachePersistenceOptions
credential = DefaultAzureCredential(
cache_persistence_options=TokenCachePersistenceOptions()
)
# Allow unencrypted fallback (NOT recommended for production)
credential = DefaultAzureCredential(
cache_persistence_options=TokenCachePersistenceOptions(allow_unencrypted_storage=True)
)
Storage: Windows (DPAPI), macOS (Keychain), Linux (Keyring).
Allow token acquisition for additional tenants beyond the configured one:
from azure.identity import ClientSecretCredential
credential = ClientSecretCredential(
tenant_id="<home-tenant>",
client_id="<client-id>",
client_secret="<secret>",
additionally_allowed_tenants=["<other-tenant>", "*"], # "*" allows any tenant
)
from azure.identity import DefaultAzureCredential, CredentialUnavailableError
from azure.core.exceptions import ClientAuthenticationError
with DefaultAzureCredential() as credential:
try:
token = credential.get_token("https://management.azure.com/.default")
except CredentialUnavailableError:
# No credential in the chain could attempt authentication
pass
except ClientAuthenticationError as e:
# Authentication was attempted but failed
# e.message contains details from each credential in the chain
pass
Enable authentication logging for debugging:
import logging
# Enable verbose Azure Identity logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger("azure.identity")
logger.setLevel(logging.DEBUG)
# Or via environment variable
AZURE_LOG_LEVEL=debug
| Environment | Recommended Credential |
|-------------|------------------------|
| Local Development | DefaultAzureCredential (uses Azure CLI) |
| Azure App Service | DefaultAzureCredential (uses Managed Identity) |
| Azure Functions | DefaultAzureCredential (uses Managed Identity) |
| Azure Kubernetes Service | WorkloadIdentityCredential |
| Azure VMs | DefaultAzureCredential (uses Managed Identity) |
| CI/CD Pipeline | EnvironmentCredential or AzurePipelinesCredential |
| Desktop App | InteractiveBrowserCredential |
| CLI / Headless Tool | DeviceCodeCredential |
| Middle-tier Service | OnBehalfOfCredential |
azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.with DefaultAzureCredential() as credential:) when they own token caches / HTTP transports you want cleaned up; for async, use async with on credentials from azure.identity.aio.DefaultAzureCredential for code that runs locally. Use a specific token credential for code that runs in Azure.get_bearer_token_provider for non-Azure-SDK clients (OpenAI, REST APIs)ChainedTokenCredential when you need a custom credential orderAZURE_CLIENT_ID for user-assigned managed identities (object ID and resource ID are also valid identifiers)DefaultAzureCredential authentication10. Use CertificateCredential (not ClientCertificateCredential — that name doesn't exist)
11. Enable cache_persistence_options for long-running services to reduce token requests
12. Reuse credential instances — same credential can be shared across multiple clients
| Resource | URL |
|----------|-----|
| PyPI Package | https://pypi.org/project/azure-identity/ |
| API Reference | https://learn.microsoft.com/python/api/azure-identity |
| GitHub Source | https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/identity/azure-identity |
| Credential Chains | https://aka.ms/azsdk/python/identity/credential-chains |
| File | Contents |
|------|----------|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
| references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.
Take microsoft/azure-identity-py from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.