azure-keyvault-keys-rust

作者: microsoft

Azure Key Vault Keys library for Rust. Create, manage, and use cryptographic keys including RSA, EC, and HSM-protected keys. Triggers: "keyvault keys rust", "KeyClient rust", "create key rust", "encrypt rust", "wrap key rust", "sign rust".

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

Azure Key Vault Keys library for Rust

Secure storage and management of cryptographic keys — RSA, EC, and HSM-protected.

Use this skill when:

  • An app needs to create or manage cryptographic keys in Key Vault from Rust
  • You need to wrap/unwrap data encryption keys (envelope encryption)
  • You need to sign or verify data with Key Vault keys
  • You need HSM-protected keys

IMPORTANT: Only use the official azure_security_keyvault_keys crate published by the azure-sdk crates.io user. Do NOT use unofficial or community crates. Official crates use underscores in names and none have version 0.21.0.

Installation

cargo add azure_security_keyvault_keys azure_identity tokio futures

If your code uses azure_core types directly, add azure_core to Cargo.toml. If you only use azure_security_keyvault_keys re-exports, direct azure_core dependency is optional.

Environment Variables

AZURE_KEYVAULT_URL=https://<vault-name>.vault.azure.net/ # Required for all operations

Authentication

Rust Azure SDK code must not use DefaultAzureCredential. The Rust identity crate does not provide that type.

use azure_identity::DeveloperToolsCredential;
use azure_security_keyvault_keys::KeyClient;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Local dev: DeveloperToolsCredential. Production: use ManagedIdentityCredential.
    let credential = DeveloperToolsCredential::new(None)?;
    let client = KeyClient::new(
        "https://<vault-name>.vault.azure.net/",
        credential.clone(),
        None,
    )?;

    let key = client.get_key("key-name", None).await?.into_model()?;
    println!("Key: {:?}", key.key);
    Ok(())
}

Prefer the crate README/examples when checking public operation shapes such as key creation, wrapping, and version-aware unwrap flows.

Core Workflow

Create Key

use azure_security_keyvault_keys::{
    models::{CreateKeyParameters, CurveName, KeyType},
    ResourceExt,
};

// Create an EC key
let body = CreateKeyParameters {
    kty: Some(KeyType::Ec),
    curve: Some(CurveName::P256),
    ..Default::default()
};

let key = client
    .create_key("key-name", body.try_into()?, None)
    .await?
    .into_model()?;

println!(
    "Name: {:?}, Type: {:?}, Version: {:?}",
    key.resource_id()?.name,
    key.key.as_ref().map(|k| k.kty.as_ref()),
    key.resource_id()?.version,
);

Update Key Properties

use azure_security_keyvault_keys::models::UpdateKeyPropertiesParameters;
use std::collections::HashMap;

#[allow(clippy::needless_update)]
let params = UpdateKeyPropertiesParameters {
    tags: Some(HashMap::from_iter(vec![("env".into(), "prod".into())])),
    ..Default::default()
};

client
    .update_key_properties("key-name", params.try_into()?, None)
    .await?
    .into_model()?;

Delete Key

client.delete_key("key-name", None).await?;

List Keys (Pagination)

list_key_properties returns a Pager<T> — iterate items directly:

use azure_security_keyvault_keys::ResourceExt;
use futures::TryStreamExt as _;

let mut pager = client.list_key_properties(None)?;
while let Some(key) = pager.try_next().await? {
    println!("Found: {}", key.resource_id()?.name);
}

Wrap / Unwrap (Envelope Encryption)

Key Vault performs crypto operations server-side — the private key never leaves the HSM:

use azure_security_keyvault_keys::{
    models::{
        CreateKeyParameters, EncryptionAlgorithm, KeyOperationParameters, KeyType,
    },
    ResourceExt, ResourceId,
};
use rand::random;

// Create a key encryption key (KEK)
let body = CreateKeyParameters {
    kty: Some(KeyType::Rsa),
    key_size: Some(2048),
    ..Default::default()
};

let key = client
    .create_key("kek-name", body.try_into()?, None)
    .await?
    .into_model()?;

// Generate a symmetric data encryption key (DEK)
let dek = random::<u32>().to_le_bytes().to_vec();

// Wrap the DEK with the KEK
let mut params = KeyOperationParameters {
    algorithm: Some(EncryptionAlgorithm::RsaOaep256),
    value: Some(dek.clone()),
    ..Default::default()
};
let wrapped = client
    .wrap_key("kek-name", params.clone().try_into()?, None)
    .await?
    .into_model()?;

// Retain the key version used to wrap so you can unwrap with the same version later
let ResourceId { version, .. } = wrapped.resource_id()?;
let key_version = version.as_deref().unwrap_or_default();

// Unwrap to recover the DEK
params.value = wrapped.result;
let unwrapped = client
    .unwrap_key("kek-name", key_version, params.try_into()?, None)
    .await?
    .into_model()?;

assert!(matches!(unwrapped.result, Some(ref result) if result.eq(&dek)));

Key Types

TypeUse CaseParameter
ECSigning, key agreementKeyType::Ec
RSAEncryption, signing, wrappingKeyType::Rsa
OctSymmetric operations (HSM)KeyType::Oct
EC-HSMHSM-protected EC keysKeyType::EcHsm
RSA-HSMHSM-protected RSA keysKeyType::RsaHsm

RBAC Roles

For Entra ID auth, assign one of these roles:

RoleAccess
Key Vault Crypto UserUse keys for crypto ops
Key Vault Crypto OfficerFull key management

Best Practices

  1. Use cargo add to manage dependencies, never edit Cargo.toml directly. Add and remove Rust SDK dependencies with cargo commands instead of manual manifest edits.
  2. Add azure_core only when importing azure_core types directly. If your code imports azure_core::http::Url, azure_core::http::RequestContent, or azure_core::error::ErrorKind, include azure_core; otherwise a direct dependency is optional.
  3. Use DeveloperToolsCredential for local dev, ManagedIdentityCredential for production — Rust does not provide a single DefaultAzureCredential type
  4. Never hardcode credentials — use environment variables or managed identity
  5. Use ..Default::default() with #[allow(clippy::needless_update)] for model struct updates
  6. Use ResourceExt to extract key name/version from key IDs
  7. Reuse clientsKeyClient is thread-safe; create once, share across tasks
  8. Run cargo clippy -- -D warnings when the prompt, eval, or CI expects lint-clean output

Reference Links

ResourceLink
API Referencehttps://docs.rs/azure_security_keyvault_keys/latest/azure_security_keyvault_keys
crates.iohttps://crates.io/crates/azure_security_keyvault_keys
Source Codehttps://github.com/Azure/azure-sdk-for-rust/tree/main/sdk/keyvault/azure_security_keyvault_keys

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