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chore: import upstream snapshot with attribution
2026-07-13 13:39:25 +08:00

313 lines
11 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Purview policy enforcement sample (Python).
Shows:
1. Creating a basic chat agent
2. Adding Purview policy evaluation via AGENT middleware (agent-level)
3. Adding Purview policy evaluation via CHAT middleware (chat-client level)
4. Implementing a custom cache provider for advanced caching scenarios
5. Running threaded conversations and printing results
Note: Caching is automatic and enabled by default.
Environment variables:
- FOUNDRY_PROJECT_ENDPOINT (required) - Azure AI Foundry project endpoint URL
- FOUNDRY_MODEL (optional, defaults to gpt-4o-mini)
- PURVIEW_CLIENT_APP_ID (required)
- PURVIEW_USE_CERT_AUTH (optional, set to "true" for certificate auth)
- PURVIEW_TENANT_ID (required if certificate auth)
- PURVIEW_CERT_PATH (required if certificate auth)
- PURVIEW_CERT_PASSWORD (optional)
- PURVIEW_DEFAULT_USER_ID (optional, user ID for Purview evaluation)
"""
import asyncio
import os
from typing import Any
from agent_framework import Agent, AgentResponse, Message
from agent_framework.foundry import FoundryChatClient
from agent_framework.microsoft import (
PurviewChatPolicyMiddleware,
PurviewPolicyMiddleware,
PurviewSettings,
)
from azure.identity import (
AzureCliCredential,
CertificateCredential,
InteractiveBrowserCredential,
)
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
JOKER_NAME = "Joker"
JOKER_INSTRUCTIONS = "You are good at telling jokes. Keep responses concise."
# Sequential prompts to demonstrate good -> block -> good orchestration.
# The sensitive prompt contains a Visa test credit card number that matches Purview's
# built-in Credit Card sensitive information type. If the tenant has a DLP policy that
# blocks credit card content for Microsoft 365 Copilot and AI apps, the second message
# will be blocked and the third will verify that subsequent calls still flow normally
# after a block.
GOOD_PROMPT_PRIMARY = "Tell me a joke about a pirate."
SENSITIVE_PROMPT = "My corporate credit card is 4111 1111 1111 1111. Please confirm receipt."
GOOD_PROMPT_FOLLOWUP = "Another light joke please."
async def run_policy_flow(
label: str,
agent: Agent,
user_id: str | None,
blocked_text: str,
) -> None:
"""Run a good -> block candidate -> good sequence and report each outcome."""
blocked_marker = blocked_text.lower()
prompts = [
("good (cold cache)", GOOD_PROMPT_PRIMARY),
("expected block", SENSITIVE_PROMPT),
("good (warm cache)", GOOD_PROMPT_FOLLOWUP),
]
for tag, text in prompts:
response: AgentResponse = await agent.run(Message("user", [text], additional_properties={"user_id": user_id}))
outcome = "BLOCKED" if blocked_marker in str(response).lower() else "ALLOWED"
print(f"[{label}] {tag}: {outcome}\n{response}\n")
# Custom Cache Provider Implementation
class SimpleDictCacheProvider:
"""A simple custom cache provider that stores everything in a dictionary.
This example demonstrates how to implement the CacheProvider protocol.
"""
def __init__(self) -> None:
"""Initialize the simple dictionary cache."""
self._cache: dict[str, Any] = {}
self._access_count: dict[str, int] = {}
async def get(self, key: str) -> Any | None:
"""Get a value from the cache.
Args:
key: The cache key.
Returns:
The cached value or None if not found.
"""
value = self._cache.get(key)
if value is not None:
self._access_count[key] = self._access_count.get(key, 0) + 1
print(f"[CustomCache] Cache HIT for key: {key[:50]}... (accessed {self._access_count[key]} times)")
else:
print(f"[CustomCache] Cache MISS for key: {key[:50]}...")
return value
async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None:
"""Set a value in the cache.
Args:
key: The cache key.
value: The value to cache.
ttl_seconds: Time to live in seconds (ignored in this simple implementation).
"""
self._cache[key] = value
print(f"[CustomCache] Cached value for key: {key[:50]}... (TTL: {ttl_seconds}s)")
async def remove(self, key: str) -> None:
"""Remove a value from the cache.
Args:
key: The cache key.
"""
if key in self._cache:
del self._cache[key]
self._access_count.pop(key, None)
print(f"[CustomCache] Removed key: {key[:50]}...")
def _get_env(name: str, *, required: bool = True, default: str | None = None) -> str:
val = os.environ.get(name, default)
if required and not val:
raise RuntimeError(f"Environment variable {name} is required")
return val # type: ignore[return-value]
def build_credential() -> Any:
"""Select an Azure credential for Purview authentication.
Supported modes:
1. CertificateCredential (if PURVIEW_USE_CERT_AUTH=true)
2. InteractiveBrowserCredential (requires PURVIEW_CLIENT_APP_ID)
"""
client_id = _get_env("PURVIEW_CLIENT_APP_ID", required=True)
use_cert_auth = _get_env("PURVIEW_USE_CERT_AUTH", required=False, default="false").lower() == "true"
if not client_id:
raise RuntimeError(
"PURVIEW_CLIENT_APP_ID is required for interactive browser authentication; "
"set PURVIEW_USE_CERT_AUTH=true for certificate mode instead."
)
if use_cert_auth:
tenant_id = _get_env("PURVIEW_TENANT_ID")
cert_path = _get_env("PURVIEW_CERT_PATH")
cert_password = _get_env("PURVIEW_CERT_PASSWORD", required=False, default=None)
print(f"Using Certificate Authentication (tenant: {tenant_id}, cert: {cert_path})")
return CertificateCredential(
tenant_id=tenant_id,
client_id=client_id,
certificate_path=cert_path,
password=cert_password,
)
print(f"Using Interactive Browser Authentication (client_id: {client_id})")
return InteractiveBrowserCredential(client_id=client_id)
async def run_with_agent_middleware() -> None:
endpoint = os.environ.get("FOUNDRY_PROJECT_ENDPOINT")
if not endpoint:
print("Skipping run: FOUNDRY_PROJECT_ENDPOINT not set")
return
deployment = os.environ.get("FOUNDRY_MODEL", "gpt-4o-mini")
user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
client = FoundryChatClient(model=deployment, project_endpoint=endpoint, credential=AzureCliCredential())
settings = PurviewSettings(app_name="Agent Framework Sample App")
purview_agent_middleware = PurviewPolicyMiddleware(build_credential(), settings)
agent = Agent(
client=client,
instructions=JOKER_INSTRUCTIONS,
name=JOKER_NAME,
middleware=[purview_agent_middleware],
)
print("-- Agent MiddlewareTypes Path --")
blocked_text = settings.get("blocked_prompt_message") or "Prompt blocked by policy"
await run_policy_flow("agent middleware", agent, user_id, blocked_text)
async def run_with_chat_middleware() -> None:
endpoint = os.environ.get("FOUNDRY_PROJECT_ENDPOINT")
if not endpoint:
print("Skipping chat middleware run: FOUNDRY_PROJECT_ENDPOINT not set")
return
deployment = os.environ.get("FOUNDRY_MODEL", default="gpt-4o-mini")
user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
settings = PurviewSettings(app_name="Agent Framework Sample App (Chat)")
client = FoundryChatClient(
model=deployment,
project_endpoint=endpoint,
credential=AzureCliCredential(),
middleware=[PurviewChatPolicyMiddleware(build_credential(), settings)],
)
agent = Agent(
client=client,
instructions=JOKER_INSTRUCTIONS,
name=JOKER_NAME,
)
print("-- Chat MiddlewareTypes Path --")
blocked_text = settings.get("blocked_prompt_message") or "Prompt blocked by policy"
await run_policy_flow("chat middleware", agent, user_id, blocked_text)
async def run_with_custom_cache_provider() -> None:
"""Demonstrate implementing and using a custom cache provider."""
endpoint = os.environ.get("FOUNDRY_PROJECT_ENDPOINT")
if not endpoint:
print("Skipping custom cache provider run: FOUNDRY_PROJECT_ENDPOINT not set")
return
deployment = os.environ.get("FOUNDRY_MODEL", "gpt-4o-mini")
user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
client = FoundryChatClient(model=deployment, project_endpoint=endpoint, credential=AzureCliCredential())
custom_cache = SimpleDictCacheProvider()
settings = PurviewSettings(app_name="Agent Framework Sample App (Custom Provider)")
purview_agent_middleware = PurviewPolicyMiddleware(
build_credential(),
settings,
cache_provider=custom_cache,
)
agent = Agent(
client=client,
instructions=JOKER_INSTRUCTIONS,
name=JOKER_NAME,
middleware=[purview_agent_middleware],
)
print("-- Custom Cache Provider Path --")
print("Using SimpleDictCacheProvider")
blocked_text = settings.get("blocked_prompt_message") or "Prompt blocked by policy"
await run_policy_flow("custom cache", agent, user_id, blocked_text)
async def run_with_default_cache() -> None:
"""Demonstrate using the default built-in cache."""
endpoint = os.environ.get("FOUNDRY_PROJECT_ENDPOINT")
if not endpoint:
print("Skipping default cache run: FOUNDRY_PROJECT_ENDPOINT not set")
return
deployment = os.environ.get("FOUNDRY_MODEL", "gpt-4o-mini")
user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
client = FoundryChatClient(model=deployment, project_endpoint=endpoint, credential=AzureCliCredential())
# No cache_provider specified - uses default InMemoryCacheProvider
settings = PurviewSettings(
app_name="Agent Framework Sample App (Default Cache)",
cache_ttl_seconds=3600,
max_cache_size_bytes=100 * 1024 * 1024, # 100MB
)
purview_agent_middleware = PurviewPolicyMiddleware(build_credential(), settings)
agent = Agent(
client=client,
instructions=JOKER_INSTRUCTIONS,
name=JOKER_NAME,
middleware=[purview_agent_middleware],
)
print("-- Default Cache Path --")
print("Using default InMemoryCacheProvider with settings-based configuration")
blocked_text = settings.get("blocked_prompt_message") or "Prompt blocked by policy"
await run_policy_flow("default cache", agent, user_id, blocked_text)
async def main() -> None:
print("== Purview Agent Sample (MiddlewareTypes with Automatic Caching) ==")
try:
await run_with_agent_middleware()
except Exception as ex: # pragma: no cover - demo resilience
print(f"Agent middleware path failed: {ex}")
try:
await run_with_chat_middleware()
except Exception as ex: # pragma: no cover - demo resilience
print(f"Chat middleware path failed: {ex}")
try:
await run_with_custom_cache_provider()
except Exception as ex: # pragma: no cover - demo resilience
print(f"Custom cache provider path failed: {ex}")
try:
await run_with_default_cache()
except Exception as ex: # pragma: no cover - demo resilience
print(f"Default cache path failed: {ex}")
if __name__ == "__main__":
asyncio.run(main())