Ausnahmebehandlung

Middleware bietet einen natürlichen Ort zum Implementieren von Fehlerbehandlung, Wiederholungslogik und ordnungsgemäßer Beeinträchtigung von Agentinteraktionen.

In C# können Sie die Agentausführung in Try-Catch-Blöcken in Middleware umschließen, um Ausnahmen zu behandeln:

using System;
using System.Collections.Generic;
using System.Threading;
using System.Threading.Tasks;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;

// Middleware that catches exceptions and provides graceful fallback responses
async Task<AgentResponse> ExceptionHandlingMiddleware(
    IEnumerable<ChatMessage> messages,
    AgentSession? session,
    AgentRunOptions? options,
    AIAgent innerAgent,
    CancellationToken cancellationToken)
{
    try
    {
        Console.WriteLine("[ExceptionHandler] Executing agent run...");
        return await innerAgent.RunAsync(messages, session, options, cancellationToken);
    }
    catch (TimeoutException ex)
    {
        Console.WriteLine($"[ExceptionHandler] Caught timeout: {ex.Message}");
        return new AgentResponse([new ChatMessage(ChatRole.Assistant,
            "Sorry, the request timed out. Please try again later.")]);
    }
    catch (Exception ex)
    {
        Console.WriteLine($"[ExceptionHandler] Caught error: {ex.Message}");
        return new AgentResponse([new ChatMessage(ChatRole.Assistant,
            "An error occurred while processing your request.")]);
    }
}

AIAgent agent = new AzureOpenAIClient(
    new Uri("https://<myresource>.openai.azure.com"),
    new AzureCliCredential())
        .GetChatClient("gpt-4o-mini")
        .AsAIAgent(instructions: "You are a helpful assistant.");

var safeAgent = agent
    .AsBuilder()
        .Use(runFunc: ExceptionHandlingMiddleware, runStreamingFunc: null)
    .Build();

Console.WriteLine(await safeAgent.RunAsync("Get user statistics"));

Middleware für die Ausnahmebehandlung

In diesem Beispiel wird veranschaulicht, wie Ausnahmen in Middleware erfasst und behandelt werden:

# Copyright (c) Microsoft. All rights reserved.

import asyncio
from collections.abc import Awaitable, Callable
from typing import Annotated

from agent_framework import FunctionInvocationContext, tool
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from pydantic import Field

"""
Exception Handling with MiddlewareTypes

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.
"""


# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
@tool(approval_mode="never_require")
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, call_next: Callable[[], Awaitable[None]]
) -> None:
    function_name = context.function.name

    try:
        print(f"[ExceptionHandlingMiddleware] Executing function: {function_name}")
        await call_next()
        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 MiddlewareTypes Example ===")

    # For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
    # authentication option.
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentClient(credential=credential).as_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())

Beispiel: Instabiles Tool

Hier ist ein Tool, das Ausnahmen auslösen kann, die von der obigen Middleware behandelt werden können:

# Copyright (c) Microsoft. All rights reserved.

import asyncio
from collections.abc import Awaitable, Callable
from typing import Annotated

from agent_framework import FunctionInvocationContext, tool
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from pydantic import Field

"""
Exception Handling with MiddlewareTypes

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.
"""


# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
@tool(approval_mode="never_require")
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, call_next: Callable[[], Awaitable[None]]
) -> None:
    function_name = context.function.name

    try:
        print(f"[ExceptionHandlingMiddleware] Executing function: {function_name}")
        await call_next()
        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 MiddlewareTypes Example ===")

    # For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
    # authentication option.
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentClient(credential=credential).as_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())

Nächste Schritte

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