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exception_handling_with_middleware.py
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# Copyright (c) Microsoft. All rights reserved.
import asyncio
from collections.abc import Awaitable, Callable
from typing import Annotated
from agent_framework import FunctionInvocationContext
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from pydantic import Field
"""
Exception Handling with Middleware
This sample demonstrates how to use middleware for centralized exception handling in function calls.
The example shows:
- How to catch exceptions thrown by functions and provide graceful error responses
- Overriding function results when errors occur to provide user-friendly messages
- Using middleware to implement retry logic, fallback mechanisms, or error reporting
The middleware catches TimeoutError from an unstable data service and replaces it with
a helpful message for the user, preventing raw exceptions from reaching the end user.
"""
def unstable_data_service(
query: Annotated[str, Field(description="The data query to execute.")],
) -> str:
"""A simulated data service that sometimes throws exceptions."""
# Simulate failure
raise TimeoutError("Data service request timed out")
async def exception_handling_middleware(
context: FunctionInvocationContext, next: Callable[[FunctionInvocationContext], Awaitable[None]]
) -> None:
function_name = context.function.name
try:
print(f"[ExceptionHandlingMiddleware] Executing function: {function_name}")
await next(context)
print(f"[ExceptionHandlingMiddleware] Function {function_name} completed successfully.")
except TimeoutError as e:
print(f"[ExceptionHandlingMiddleware] Caught TimeoutError: {e}")
# Override function result to provide custom message in response.
context.result = (
"Request Timeout: The data service is taking longer than expected to respond.",
"Respond with message - 'Sorry for the inconvenience, please try again later.'",
)
async def main() -> None:
"""Example demonstrating exception handling with middleware."""
print("=== Exception Handling Middleware Example ===")
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
# authentication option.
async with (
AzureCliCredential() as credential,
AzureAIAgentClient(async_credential=credential).create_agent(
name="DataAgent",
instructions="You are a helpful data assistant. Use the data service tool to fetch information for users.",
tools=unstable_data_service,
middleware=exception_handling_middleware,
) as agent,
):
query = "Get user statistics"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result}")
if __name__ == "__main__":
asyncio.run(main())