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Python: [Purview] Add Caching and background processing in Python Purview Middleware (#1844)
* [PythonPurview] Add Caching and background processing * [PythonPurview] Updates based on comments
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@@ -2,9 +2,14 @@
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This getting-started sample shows how to attach Microsoft Purview policy evaluation to an Agent Framework `ChatAgent` using the **middleware** approach.
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**What this sample demonstrates:**
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1. Configure an Azure OpenAI chat client
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2. Add Purview policy enforcement middleware (`PurviewPolicyMiddleware`)
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3. Run a short conversation and observe prompt / response blocking behavior
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3. Add Purview policy enforcement at the chat client level (`PurviewChatPolicyMiddleware`)
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4. Implement a custom cache provider for advanced caching scenarios
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5. Run conversations and observe prompt / response blocking behavior
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**Note:** Caching is **automatic** and enabled by default with sensible defaults (30-minute TTL, 200MB max size).
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---
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## 1. Setup
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@@ -20,8 +25,6 @@ This getting-started sample shows how to attach Microsoft Purview policy evaluat
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| `PURVIEW_CERT_PATH` | Yes (when cert auth on) | Path to your .pfx certificate |
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| `PURVIEW_CERT_PASSWORD` | Optional | Password for encrypted certs |
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*A demo default exists in code for illustration only—always set your own value.
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### 2. Auth Modes Supported
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#### A. Interactive Browser Authentication (default)
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@@ -42,7 +45,7 @@ $env:PURVIEW_CERT_PATH = "C:\path\to\cert.pfx"
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$env:PURVIEW_CERT_PASSWORD = "optional-password"
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```
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Certificate steps (summary): create / register app, generate certificate, upload public key, export .pfx with private key, grant required Graph / Purview permissions.
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Certificate steps (summary): create / register entra app, generate certificate, upload public key, export .pfx with private key, grant required Graph / Purview permissions.
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---
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@@ -61,18 +64,39 @@ If interactive auth is used, a browser window will appear the first time.
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## 4. How It Works
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The sample demonstrates three different scenarios:
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### A. Agent Middleware (`run_with_agent_middleware`)
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1. Builds an Azure OpenAI chat client (using the environment endpoint / deployment)
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2. Chooses credential mode (certificate vs interactive)
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3. Creates `PurviewPolicyMiddleware` with `PurviewSettings`
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4. Injects middleware into the agent at construction
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5. Sends two user messages sequentially
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6. Prints results (or policy block messages)
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7. Uses default caching automatically
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### B. Chat Client Middleware (`run_with_chat_middleware`)
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1. Creates a chat client with `PurviewChatPolicyMiddleware` attached directly
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2. Policy evaluation happens at the chat client level rather than agent level
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3. Demonstrates an alternative integration point for Purview policies
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4. Uses default caching automatically
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### C. Custom Cache Provider (`run_with_custom_cache_provider`)
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1. Implements the `CacheProvider` protocol with a custom class (`SimpleDictCacheProvider`)
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2. Shows how to add custom logging and metrics to cache operations
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3. The custom provider must implement three async methods:
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- `async def get(self, key: str) -> Any | None`
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- `async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None`
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- `async def remove(self, key: str) -> None`
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**Policy Behavior:**
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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`.
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---
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## 5. Code Snippet (Middleware Injection)
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## 5. Code Snippets
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### Agent Middleware Injection
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```python
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agent = ChatAgent(
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@@ -80,9 +104,41 @@ agent = ChatAgent(
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instructions="You are good at telling jokes.",
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name="Joker",
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middleware=[
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PurviewPolicyMiddleware(credential, PurviewSettings(app_name="Sample App", default_user_id="<guid>"))
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PurviewPolicyMiddleware(credential, PurviewSettings(app_name="Sample App"))
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],
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)
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```
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### Custom Cache Provider Implementation
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This is only needed if you want to integrate with external caching systems.
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```python
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class SimpleDictCacheProvider:
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"""Custom cache provider that implements the CacheProvider protocol."""
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def __init__(self) -> None:
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self._cache: dict[str, Any] = {}
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async def get(self, key: str) -> Any | None:
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"""Get a value from the cache."""
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return self._cache.get(key)
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async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None:
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"""Set a value in the cache."""
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self._cache[key] = value
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async def remove(self, key: str) -> None:
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"""Remove a value from the cache."""
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self._cache.pop(key, None)
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# Use the custom cache provider
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custom_cache = SimpleDictCacheProvider()
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middleware = PurviewPolicyMiddleware(
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credential,
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PurviewSettings(app_name="Sample App"),
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cache_provider=custom_cache,
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)
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```
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---
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@@ -5,7 +5,10 @@ Shows:
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1. Creating a basic chat agent
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2. Adding Purview policy evaluation via AGENT middleware (agent-level)
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3. Adding Purview policy evaluation via CHAT middleware (chat-client level)
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4. Running a threaded conversation and printing results
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4. Implementing a custom cache provider for advanced caching scenarios
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5. Running threaded conversations and printing results
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Note: Caching is automatic and enabled by default.
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Environment variables:
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- AZURE_OPENAI_ENDPOINT (required)
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@@ -31,7 +34,6 @@ from azure.identity import (
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InteractiveBrowserCredential,
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)
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# Purview integration pieces
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from agent_framework.microsoft import (
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PurviewPolicyMiddleware,
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PurviewChatPolicyMiddleware,
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@@ -42,6 +44,59 @@ JOKER_NAME = "Joker"
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JOKER_INSTRUCTIONS = "You are good at telling jokes. Keep responses concise."
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# Custom Cache Provider Implementation
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class SimpleDictCacheProvider:
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"""A simple custom cache provider that stores everything in a dictionary.
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This example demonstrates how to implement the CacheProvider protocol.
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"""
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def __init__(self) -> None:
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"""Initialize the simple dictionary cache."""
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self._cache: dict[str, Any] = {}
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self._access_count: dict[str, int] = {}
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async def get(self, key: str) -> Any | None:
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"""Get a value from the cache.
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Args:
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key: The cache key.
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Returns:
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The cached value or None if not found.
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"""
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value = self._cache.get(key)
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if value is not None:
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self._access_count[key] = self._access_count.get(key, 0) + 1
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print(f"[CustomCache] Cache HIT for key: {key[:50]}... (accessed {self._access_count[key]} times)")
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else:
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print(f"[CustomCache] Cache MISS for key: {key[:50]}...")
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return value
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async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None:
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"""Set a value in the cache.
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Args:
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key: The cache key.
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value: The value to cache.
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ttl_seconds: Time to live in seconds (ignored in this simple implementation).
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"""
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self._cache[key] = value
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print(f"[CustomCache] Cached value for key: {key[:50]}... (TTL: {ttl_seconds}s)")
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async def remove(self, key: str) -> None:
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"""Remove a value from the cache.
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Args:
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key: The cache key.
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"""
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if key in self._cache:
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del self._cache[key]
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self._access_count.pop(key, None)
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print(f"[CustomCache] Removed key: {key[:50]}...")
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def _get_env(name: str, *, required: bool = True, default: str | None = None) -> str:
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val = os.environ.get(name, default)
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if required and not val:
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@@ -161,9 +216,91 @@ async def run_with_chat_middleware() -> None:
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)
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print("Second response (chat middleware):\n", second)
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async def run_with_custom_cache_provider() -> None:
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"""Demonstrate implementing and using a custom cache provider."""
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endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
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if not endpoint:
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print("Skipping custom cache provider run: AZURE_OPENAI_ENDPOINT not set")
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return
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deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME", "gpt-4o-mini")
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user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
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chat_client = AzureOpenAIChatClient(deployment_name=deployment, endpoint=endpoint, credential=AzureCliCredential())
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custom_cache = SimpleDictCacheProvider()
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purview_agent_middleware = PurviewPolicyMiddleware(
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build_credential(),
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PurviewSettings(
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app_name="Agent Framework Sample App (Custom Provider)",
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),
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cache_provider=custom_cache,
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)
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agent = ChatAgent(
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chat_client=chat_client,
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instructions=JOKER_INSTRUCTIONS,
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name=JOKER_NAME,
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middleware=purview_agent_middleware,
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)
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print("-- Custom Cache Provider Path --")
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print("Using SimpleDictCacheProvider")
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first: AgentRunResponse = await agent.run(
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ChatMessage(role=Role.USER, text="Tell me a joke about a programmer.", additional_properties={"user_id": user_id})
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)
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print("First response (custom provider):\n", first)
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second: AgentRunResponse = await agent.run(
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ChatMessage(role=Role.USER, text="That's hilarious! One more?", additional_properties={"user_id": user_id})
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)
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print("Second response (custom provider):\n", second)
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"""Demonstrate using the default built-in cache."""
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endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
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if not endpoint:
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print("Skipping default cache run: AZURE_OPENAI_ENDPOINT not set")
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return
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deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME", "gpt-4o-mini")
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user_id = os.environ.get("PURVIEW_DEFAULT_USER_ID")
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chat_client = AzureOpenAIChatClient(deployment_name=deployment, endpoint=endpoint, credential=AzureCliCredential())
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# No cache_provider specified - uses default InMemoryCacheProvider
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purview_agent_middleware = PurviewPolicyMiddleware(
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build_credential(),
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PurviewSettings(
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app_name="Agent Framework Sample App (Default Cache)",
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cache_ttl_seconds=3600,
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max_cache_size_bytes=100 * 1024 * 1024, # 100MB
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),
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)
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agent = ChatAgent(
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chat_client=chat_client,
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instructions=JOKER_INSTRUCTIONS,
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name=JOKER_NAME,
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middleware=purview_agent_middleware,
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)
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print("-- Default Cache Path --")
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print("Using default InMemoryCacheProvider with settings-based configuration")
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first: AgentRunResponse = await agent.run(
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ChatMessage(role=Role.USER, text="Tell me a joke about AI.", additional_properties={"user_id": user_id})
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)
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print("First response (default cache):\n", first)
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second: AgentRunResponse = await agent.run(
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ChatMessage(role=Role.USER, text="Nice! Another AI joke please.", additional_properties={"user_id": user_id})
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)
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print("Second response (default cache):\n", second)
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async def main() -> None:
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print("== Purview Agent Sample (Agent & Chat Middleware) ==")
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print("== Purview Agent Sample (Middleware with Automatic Caching) ==")
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try:
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await run_with_agent_middleware()
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except Exception as ex: # pragma: no cover - demo resilience
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@@ -174,6 +311,11 @@ async def main() -> None:
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except Exception as ex: # pragma: no cover - demo resilience
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print(f"Chat middleware path failed: {ex}")
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try:
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await run_with_custom_cache_provider()
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except Exception as ex: # pragma: no cover - demo resilience
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print(f"Custom cache provider path failed: {ex}")
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if __name__ == "__main__":
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asyncio.run(main())
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