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agent-framework/python/samples/getting_started/middleware/middleware_termination.py
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test
2026-01-24 03:05:12 +11:00

178 lines
6.4 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from collections.abc import Awaitable, Callable
from random import randint
from typing import Annotated
from agent_framework import (
AgentMiddleware,
AgentResponse,
AgentRunContext,
ChatMessage,
Role,
)
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from pydantic import Field
"""
Middleware Termination Example
This sample demonstrates how middleware can terminate execution using the `context.terminate` flag.
The example includes:
- PreTerminationMiddleware: Terminates execution before calling next() to prevent agent processing
- PostTerminationMiddleware: Allows processing to complete but terminates further execution
This is useful for implementing security checks, rate limiting, or early exit conditions.
"""
def get_weather(
location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
class PreTerminationMiddleware(AgentMiddleware):
"""Middleware that terminates execution before calling the agent."""
def __init__(self, blocked_words: list[str]):
self.blocked_words = [word.lower() for word in blocked_words]
async def process(
self,
context: AgentRunContext,
next: Callable[[AgentRunContext], Awaitable[None]],
) -> None:
# Check if the user message contains any blocked words
last_message = context.messages[-1] if context.messages else None
if last_message and last_message.text:
query = last_message.text.lower()
for blocked_word in self.blocked_words:
if blocked_word in query:
print(f"[PreTerminationMiddleware] Blocked word '{blocked_word}' detected. Terminating request.")
# Set a custom response
context.result = AgentResponse(
messages=[
ChatMessage(
role=Role.ASSISTANT,
text=(
f"Sorry, I cannot process requests containing '{blocked_word}'. "
"Please rephrase your question."
),
)
]
)
# Set terminate flag to prevent further processing
context.terminate = True
break
await next(context)
class PostTerminationMiddleware(AgentMiddleware):
"""Middleware that allows processing but terminates after reaching max responses across multiple runs."""
def __init__(self, max_responses: int = 1):
self.max_responses = max_responses
self.response_count = 0
async def process(
self,
context: AgentRunContext,
next: Callable[[AgentRunContext], Awaitable[None]],
) -> None:
print(f"[PostTerminationMiddleware] Processing request (response count: {self.response_count})")
# Check if we should terminate before processing
if self.response_count >= self.max_responses:
print(
f"[PostTerminationMiddleware] Maximum responses ({self.max_responses}) reached. "
"Terminating further processing."
)
context.terminate = True
# Allow the agent to process normally
await next(context)
# Increment response count after processing
self.response_count += 1
async def pre_termination_middleware() -> None:
"""Demonstrate pre-termination middleware that blocks requests with certain words."""
print("\n--- Example 1: Pre-termination Middleware ---")
async with (
AzureCliCredential() as credential,
AzureAIAgentClient(credential=credential).as_agent(
name="WeatherAgent",
instructions="You are a helpful weather assistant.",
tools=get_weather,
middleware=[PreTerminationMiddleware(blocked_words=["bad", "inappropriate"])],
) as agent,
):
# Test with normal query
print("\n1. Normal query:")
query = "What's the weather like in Seattle?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text}")
# Test with blocked word
print("\n2. Query with blocked word:")
query = "What's the bad weather in New York?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text}")
async def post_termination_middleware() -> None:
"""Demonstrate post-termination middleware that limits responses across multiple runs."""
print("\n--- Example 2: Post-termination Middleware ---")
async with (
AzureCliCredential() as credential,
AzureAIAgentClient(credential=credential).as_agent(
name="WeatherAgent",
instructions="You are a helpful weather assistant.",
tools=get_weather,
middleware=[PostTerminationMiddleware(max_responses=1)],
) as agent,
):
# First run (should work)
print("\n1. First run:")
query = "What's the weather in Paris?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text}")
# Second run (should be terminated by middleware)
print("\n2. Second run (should be terminated):")
query = "What about the weather in London?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text if result.text else 'No response (terminated)'}")
# Third run (should also be terminated)
print("\n3. Third run (should also be terminated):")
query = "And New York?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text if result.text else 'No response (terminated)'}")
async def main() -> None:
"""Example demonstrating middleware termination functionality."""
print("=== Middleware Termination Example ===")
await pre_termination_middleware()
await post_termination_middleware()
if __name__ == "__main__":
asyncio.run(main())