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azure-identity-py
Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
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Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/azure-identity-py/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/azure-identity-py/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-identity-py/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-identity-py Compares
| Feature / Agent | azure-identity-py | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Azure Identity SDK for Python
Authentication library for Azure SDK clients using Microsoft Entra ID (formerly Azure AD).
## Installation
```bash
pip install azure-identity
```
## Environment Variables
```bash
# Service Principal (for production/CI)
AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<your-client-id>
AZURE_CLIENT_SECRET=<your-client-secret>
# User-assigned Managed Identity (optional)
AZURE_CLIENT_ID=<managed-identity-client-id>
```
## DefaultAzureCredential
The recommended credential for most scenarios. Tries multiple authentication methods in order:
```python
from azure.identity import DefaultAzureCredential
from azure.storage.blob import BlobServiceClient
# Works in local dev AND production without code changes
credential = DefaultAzureCredential()
client = BlobServiceClient(
account_url="https://<account>.blob.core.windows.net",
credential=credential
)
```
### Credential Chain Order
| Order | Credential | Environment |
|-------|-----------|-------------|
| 1 | EnvironmentCredential | CI/CD, containers |
| 2 | WorkloadIdentityCredential | Kubernetes |
| 3 | ManagedIdentityCredential | Azure VMs, App Service, Functions |
| 4 | SharedTokenCacheCredential | Windows only |
| 5 | VisualStudioCodeCredential | VS Code with Azure extension |
| 6 | AzureCliCredential | `az login` |
| 7 | AzurePowerShellCredential | `Connect-AzAccount` |
| 8 | AzureDeveloperCliCredential | `azd auth login` |
### Customizing DefaultAzureCredential
```python
# 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
)
# Enable interactive browser (disabled by default)
credential = DefaultAzureCredential(
exclude_interactive_browser_credential=False
)
```
## Specific Credential Types
### ManagedIdentityCredential
For Azure-hosted resources (VMs, App Service, Functions, AKS):
```python
from azure.identity import ManagedIdentityCredential
# System-assigned managed identity
credential = ManagedIdentityCredential()
# User-assigned managed identity
credential = ManagedIdentityCredential(
client_id="<user-assigned-mi-client-id>"
)
```
### ClientSecretCredential
For service principal with secret:
```python
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"]
)
```
### AzureCliCredential
Uses the account from `az login`:
```python
from azure.identity import AzureCliCredential
credential = AzureCliCredential()
```
### ChainedTokenCredential
Custom credential chain:
```python
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()
)
```
## Credential Types Table
| Credential | Use Case | Auth Method |
|------------|----------|-------------|
| `DefaultAzureCredential` | Most scenarios | Auto-detect |
| `ManagedIdentityCredential` | Azure-hosted apps | Managed Identity |
| `ClientSecretCredential` | Service principal | Client secret |
| `ClientCertificateCredential` | Service principal | Certificate |
| `AzureCliCredential` | Local development | Azure CLI |
| `AzureDeveloperCliCredential` | Local development | Azure Developer CLI |
| `InteractiveBrowserCredential` | User sign-in | Browser OAuth |
| `DeviceCodeCredential` | Headless/SSH | Device code flow |
## Getting Tokens Directly
```python
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
# 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 Client
```python
from azure.identity.aio import DefaultAzureCredential
from azure.storage.blob.aio import BlobServiceClient
async def main():
credential = DefaultAzureCredential()
async with BlobServiceClient(
account_url="https://<account>.blob.core.windows.net",
credential=credential
) as client:
# ... async operations
pass
await credential.close()
```
## Best Practices
1. **Use DefaultAzureCredential** for code that runs locally and in Azure
2. **Never hardcode credentials** — use environment variables or managed identity
3. **Prefer managed identity** in production Azure deployments
4. **Use ChainedTokenCredential** when you need a custom credential order
5. **Close async credentials** explicitly or use context managers
6. **Set AZURE_CLIENT_ID** for user-assigned managed identities
7. **Exclude unused credentials** to speed up authentication
## When to Use
This skill is applicable to execute the workflow or actions described in the overview.