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agent-framework/python/samples/getting_started/purview_agent/README.md
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Rishabh Chawla 64826b8f56 Python: [Purview] Add Caching and background processing in Python Purview Middleware (#1844)
* [PythonPurview] Add Caching and background processing

* [PythonPurview] Updates based on comments
2025-11-07 07:43:22 +00:00

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Purview Policy Enforcement Sample (Python)

This getting-started sample shows how to attach Microsoft Purview policy evaluation to an Agent Framework ChatAgent using the middleware approach.

What this sample demonstrates:

  1. Configure an Azure OpenAI chat client
  2. Add Purview policy enforcement middleware (PurviewPolicyMiddleware)
  3. Add Purview policy enforcement at the chat client level (PurviewChatPolicyMiddleware)
  4. Implement a custom cache provider for advanced caching scenarios
  5. Run conversations and observe prompt / response blocking behavior

Note: Caching is automatic and enabled by default with sensible defaults (30-minute TTL, 200MB max size).


1. Setup

Required Environment Variables

Variable Required Purpose
AZURE_OPENAI_ENDPOINT Yes Azure OpenAI endpoint (https://.openai.azure.com)
AZURE_OPENAI_DEPLOYMENT_NAME Optional Model deployment name (defaults inside SDK if omitted)
PURVIEW_CLIENT_APP_ID Yes* Client (application) ID used for Purview authentication
PURVIEW_USE_CERT_AUTH Optional (true/false) Switch between certificate and interactive auth
PURVIEW_TENANT_ID Yes (when cert auth on) Tenant ID for certificate authentication
PURVIEW_CERT_PATH Yes (when cert auth on) Path to your .pfx certificate
PURVIEW_CERT_PASSWORD Optional Password for encrypted certs

2. Auth Modes Supported

A. Interactive Browser Authentication (default)

Opens a browser on first run to sign in.

$env:AZURE_OPENAI_ENDPOINT = "https://your-openai-instance.openai.azure.com"
$env:PURVIEW_CLIENT_APP_ID = "00000000-0000-0000-0000-000000000000"

B. Certificate Authentication

For headless / CI scenarios.

$env:PURVIEW_USE_CERT_AUTH = "true"
$env:PURVIEW_TENANT_ID = "<tenant-guid>"
$env:PURVIEW_CERT_PATH = "C:\path\to\cert.pfx"
$env:PURVIEW_CERT_PASSWORD = "optional-password"

Certificate steps (summary): create / register entra app, generate certificate, upload public key, export .pfx with private key, grant required Graph / Purview permissions.


3. Run the Sample

From repo root:

cd python/samples/getting_started/purview_agent
python sample_purview_agent.py

If interactive auth is used, a browser window will appear the first time.


4. How It Works

The sample demonstrates three different scenarios:

A. Agent Middleware (run_with_agent_middleware)

  1. Builds an Azure OpenAI chat client (using the environment endpoint / deployment)
  2. Chooses credential mode (certificate vs interactive)
  3. Creates PurviewPolicyMiddleware with PurviewSettings
  4. Injects middleware into the agent at construction
  5. Sends two user messages sequentially
  6. Prints results (or policy block messages)
  7. Uses default caching automatically

B. Chat Client Middleware (run_with_chat_middleware)

  1. Creates a chat client with PurviewChatPolicyMiddleware attached directly
  2. Policy evaluation happens at the chat client level rather than agent level
  3. Demonstrates an alternative integration point for Purview policies
  4. Uses default caching automatically

C. Custom Cache Provider (run_with_custom_cache_provider)

  1. Implements the CacheProvider protocol with a custom class (SimpleDictCacheProvider)
  2. Shows how to add custom logging and metrics to cache operations
  3. The custom provider must implement three async methods:
    • async def get(self, key: str) -> Any | None
    • async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None
    • async def remove(self, key: str) -> None

Policy Behavior: Prompt blocks set a system-level message: Prompt blocked by policy and terminate the run early. Response blocks rewrite the output to Response blocked by policy.


5. Code Snippets

Agent Middleware Injection

agent = ChatAgent(
	chat_client=chat_client,
	instructions="You are good at telling jokes.",
	name="Joker",
	middleware=[
		PurviewPolicyMiddleware(credential, PurviewSettings(app_name="Sample App"))
	],
)

Custom Cache Provider Implementation

This is only needed if you want to integrate with external caching systems.

class SimpleDictCacheProvider:
    """Custom cache provider that implements the CacheProvider protocol."""
    
    def __init__(self) -> None:
        self._cache: dict[str, Any] = {}
    
    async def get(self, key: str) -> Any | None:
        """Get a value from the cache."""
        return self._cache.get(key)
    
    async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None:
        """Set a value in the cache."""
        self._cache[key] = value
    
    async def remove(self, key: str) -> None:
        """Remove a value from the cache."""
        self._cache.pop(key, None)

# Use the custom cache provider
custom_cache = SimpleDictCacheProvider()
middleware = PurviewPolicyMiddleware(
    credential,
    PurviewSettings(app_name="Sample App"),
    cache_provider=custom_cache,
)