azure-keyvault-py

作者: microsoft

Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage. Triggers: "key vault", "SecretClient", "KeyClient", "CertificateClient", "secrets", "encryption keys".

npx skills add https://github.com/microsoft/skills --skill azure-keyvault-py

Azure Key Vault SDK for Python

Secure storage and management for secrets, cryptographic keys, and certificates.

Installation

# Secrets
pip install azure-keyvault-secrets azure-identity

# Keys (cryptographic operations)
pip install azure-keyvault-keys azure-identity

# Certificates
pip install azure-keyvault-certificates azure-identity

# All
pip install azure-keyvault-secrets azure-keyvault-keys azure-keyvault-certificates azure-identity

Environment Variables

AZURE_KEYVAULT_URL=https://<vault-name>.vault.azure.net/  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production

Authentication & Lifecycle

🔑 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 every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
    • Sync: with <Client>(...) as client:
    • Async: async with <Client>(...) as client: and async with DefaultAzureCredential() as credential: (from azure.identity.aio)

Snippets may abbreviate this setup, but production code should always follow both rules.

Secrets

SecretClient Setup

from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.keyvault.secrets import SecretClient

# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
vault_url = "https://<vault-name>.vault.azure.net/"

with SecretClient(vault_url=vault_url, credential=credential) as client:
    # All secret operations go inside this block (see examples below)
    ...

Secret Operations

# Set secret
secret = client.set_secret("database-password", "super-secret-value")
print(f"Created: {secret.name}, version: {secret.properties.version}")

# Get secret
secret = client.get_secret("database-password")
print(f"Value: {secret.value}")

# Get specific version
secret = client.get_secret("database-password", version="abc123")

# List secrets (names only, not values)
for secret_properties in client.list_properties_of_secrets():
    print(f"Secret: {secret_properties.name}")

# List versions
for version in client.list_properties_of_secret_versions("database-password"):
    print(f"Version: {version.version}, Created: {version.created_on}")

# Delete secret (soft delete)
poller = client.begin_delete_secret("database-password")
deleted_secret = poller.result()

# Purge (permanent delete, if soft-delete enabled)
client.purge_deleted_secret("database-password")

# Recover deleted secret
client.begin_recover_deleted_secret("database-password").result()

Keys

KeyClient Setup

from azure.identity import DefaultAzureCredential
from azure.keyvault.keys import KeyClient

credential = DefaultAzureCredential()
vault_url = "https://<vault-name>.vault.azure.net/"

with KeyClient(vault_url=vault_url, credential=credential) as client:
    # All key operations go inside this block (see examples below)
    ...

Key Operations

from azure.keyvault.keys import KeyType

# Create RSA key
rsa_key = client.create_rsa_key("rsa-key", size=2048)

# Create EC key
ec_key = client.create_ec_key("ec-key", curve="P-256")

# Get key
key = client.get_key("rsa-key")
print(f"Key type: {key.key_type}")

# List keys
for key_properties in client.list_properties_of_keys():
    print(f"Key: {key_properties.name}")

# Delete key
poller = client.begin_delete_key("rsa-key")
deleted_key = poller.result()

Cryptographic Operations

from azure.keyvault.keys.crypto import CryptographyClient, EncryptionAlgorithm

# Get crypto client for a specific key
# crypto_client = CryptographyClient(key, credential=credential)
# Or from key ID
with CryptographyClient(
    "https://<vault>.vault.azure.net/keys/<key-name>/<version>",
    credential=credential
) as crypto_client:
    # Encrypt
    plaintext = b"Hello, Key Vault!"
    result = crypto_client.encrypt(EncryptionAlgorithm.rsa_oaep, plaintext)
    ciphertext = result.ciphertext

    # Decrypt
    result = crypto_client.decrypt(EncryptionAlgorithm.rsa_oaep, ciphertext)
    decrypted = result.plaintext

    # Sign
    from azure.keyvault.keys.crypto import SignatureAlgorithm
    import hashlib

    digest = hashlib.sha256(b"data to sign").digest()
    result = crypto_client.sign(SignatureAlgorithm.rs256, digest)
    signature = result.signature

    # Verify
    result = crypto_client.verify(SignatureAlgorithm.rs256, digest, signature)
    print(f"Valid: {result.is_valid}")

Certificates

CertificateClient Setup

from azure.identity import DefaultAzureCredential
from azure.keyvault.certificates import CertificateClient, CertificatePolicy

credential = DefaultAzureCredential()
vault_url = "https://<vault-name>.vault.azure.net/"

with CertificateClient(vault_url=vault_url, credential=credential) as client:
    # All certificate operations go inside this block (see examples below)
    ...

Certificate Operations

# Create self-signed certificate
policy = CertificatePolicy.get_default()
poller = client.begin_create_certificate("my-cert", policy=policy)
certificate = poller.result()

# Get certificate
certificate = client.get_certificate("my-cert")
print(f"Thumbprint: {certificate.properties.x509_thumbprint.hex()}")

# Get certificate with private key (as secret)
from azure.keyvault.secrets import SecretClient
with SecretClient(vault_url=vault_url, credential=credential) as secret_client:
    cert_secret = secret_client.get_secret("my-cert")
    # cert_secret.value contains PEM or PKCS12

# List certificates
for cert in client.list_properties_of_certificates():
    print(f"Certificate: {cert.name}")

# Delete certificate
poller = client.begin_delete_certificate("my-cert")
deleted = poller.result()

Client Types Table

ClientPackagePurpose
SecretClientazure-keyvault-secretsStore/retrieve secrets
KeyClientazure-keyvault-keysManage cryptographic keys
CryptographyClientazure-keyvault-keysEncrypt/decrypt/sign/verify
CertificateClientazure-keyvault-certificatesManage certificates

Async Clients

from azure.identity.aio import DefaultAzureCredential
from azure.keyvault.secrets.aio import SecretClient

async def get_secret():
    async with DefaultAzureCredential() as credential:
        async with SecretClient(vault_url=vault_url, credential=credential) as client:
            secret = await client.get_secret("my-secret")
            print(secret.value)

import asyncio
asyncio.run(get_secret())

Error Handling

from azure.core.exceptions import ResourceNotFoundError, HttpResponseError

try:
    secret = client.get_secret("nonexistent")
except ResourceNotFoundError:
    print("Secret not found")
except HttpResponseError as e:
    if e.status_code == 403:
        print("Access denied - check RBAC permissions")
    raise

Best Practices

  1. Pick sync OR async and stay consistent. Do not mix azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.
  2. Always use context managers for clients and async credentials. Wrap every client in with Client(...) as client: (sync) or async with Client(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up.
  3. Use DefaultAzureCredential for code that runs locally. Use a specific token credential for code that runs in Azure.
  4. Use managed identity in Azure-hosted applications
  5. Enable soft-delete for recovery (enabled by default)
  6. Use RBAC over access policies for fine-grained control
  7. Rotate secrets regularly using versioning
  8. Use Key Vault references in App Service/Functions config
  9. Cache secrets appropriately to reduce API calls
  10. Use async clients for high-throughput scenarios

Reference Files

FileContents
references/capabilities.mdAdditional non-hero capabilities, operation-group coverage, and production checklists.
references/non-hero-scenarios.mdDedicated non-hero examples for secondary/advanced scenarios.

来自 microsoft 的更多技能

oss-growth
microsoft
OSS增长黑客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。在创建使用AzureAIAgentsProvider的持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应时使用。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights对Web应用进行插桩的指南。提供遥测模式、SDK设置和配置参考。适用场景:如何对应用进行插桩、App Insights SDK、遥测模式、什么是App Insights、Application Insights指南、插桩示例、APM最佳实践。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)为浏览器/Web应用添加检测。用于真实用户监控(RUM)——页面视图、点击、AJAX/fetch依赖项、异常、自定义事件,以及与后端OpenTelemetry追踪关联的浏览器端GenAI代理追踪。涵盖SDK加载器脚本和npm设置、框架扩展(React、React Native、Angular)、点击分析、遥测初始化器,以及从浏览器发出的代理/工具/模型跨度所遵循的OTel GenAI语义约定。
devops
azure-ai-anomalydetector-java
microsoft
使用适用于 Java 的 Azure AI 异常检测器 SDK 构建异常检测应用程序。在实现单变量/多变量异常检测、时间序列分析或 AI 驱动的监控时使用。
development
azure-ai-language-conversations-py
microsoft
使用azure-ai-language-conversations Python SDK实现对话语言理解(CLU)。当使用ConversationAnalysisClient分析对话意图和实体、构建NLP功能或将语言理解集成到应用程序中时使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用于机器学习工作区、作业、模型、数据集、计算资源和管道。 触发词:“azure-ai-ml”、“MLClient”、“工作区”、“模型注册表”、“训练作业”、“数据集”。
development