Files
agent-framework/python/samples/getting_started/middleware/class_based_middleware.py
T
Eduard van Valkenburg 838a7fd61d Python: [BREAKING] Types API Review improvements (#3647)
* Replace Role and FinishReason classes with NewType + Literal

- Remove EnumLike metaclass from _types.py
- Replace Role class with NewType('Role', str) + RoleLiteral
- Replace FinishReason class with NewType('FinishReason', str) + FinishReasonLiteral
- Update all usages across codebase to use string literals
- Remove .value access patterns (direct string comparison now works)
- Add backward compatibility for legacy dict serialization format
- Update tests to reflect new string-based types

Addresses #3591, #3615

* Simplify ChatResponse and AgentResponse type hints (#3592)

- Remove overloads from ChatResponse.__init__
- Remove text parameter from ChatResponse.__init__
- Remove | dict[str, Any] from finish_reason and usage_details params
- Remove **kwargs from AgentResponse.__init__
- Both now accept ChatMessage | Sequence[ChatMessage] | None for messages
- Update docstrings and examples to reflect changes
- Fix tests that were using removed kwargs
- Fix Role type hint usage in ag-ui utils

* Remove text parameter from ChatResponseUpdate and AgentResponseUpdate (#3597)

- Remove text parameter from ChatResponseUpdate.__init__
- Remove text parameter from AgentResponseUpdate.__init__
- Remove **kwargs from both update classes
- Simplify contents parameter type to Sequence[Content] | None
- Update all usages to use contents=[Content.from_text(...)] pattern
- Fix imports in test files
- Update docstrings and examples

* Rename from_chat_response_updates to from_updates (#3593)

- ChatResponse.from_chat_response_updates → ChatResponse.from_updates
- ChatResponse.from_chat_response_generator → ChatResponse.from_update_generator
- AgentResponse.from_agent_run_response_updates → AgentResponse.from_updates

* Remove try_parse_value method from ChatResponse and AgentResponse (#3595)

- Remove try_parse_value method from ChatResponse
- Remove try_parse_value method from AgentResponse
- Remove try_parse_value calls from from_updates and from_update_generator methods
- Update samples to use try/except with response.value instead
- Update tests to use response.value pattern
- Users should now use response.value with try/except for safe parsing

* Add agent_id to AgentResponse and clarify author_name documentation (#3596)

- Add agent_id parameter to AgentResponse class
- Document that author_name is on ChatMessage objects, not responses
- Update ChatResponse docstring with author_name note
- Update AgentResponse docstring with author_name note

* Simplify ChatMessage.__init__ signature (#3618)

- Make contents a positional argument accepting Sequence[Content | str]
- Auto-convert strings in contents to TextContent
- Remove overloads, keep text kwarg for backward compatibility with serialization
- Update _parse_content_list to handle string items
- Update all usages across codebase to use new format: ChatMessage("role", ["text"])

* Allow Content as input on run and get_response

- Update prepare_messages and normalize_messages to accept Content
- Update type signatures in _agents.py and _clients.py
- Add tests for Content input handling

* Fix ChatMessage usage across packages and samples

Update all remaining ChatMessage(role=..., text=...) to use new
ChatMessage('role', ['text']) signature.

* Fix Role string usage and response format parsing

- Fix redis provider: remove .value access on string literals
- Fix durabletask ensure_response_format: set _response_format before accessing .value

* Fix ollama .value and ai_model_id issues, handle None in content list

- Fix ollama _chat_client: remove .value on string literals
- Fix ollama _chat_client: rename ai_model_id to model_id
- Fix _parse_content_list: skip None values gracefully

* Fix A2AAgent type signature to include Content

* Fix Role/FinishReason NewType dict annotations and improve test coverage to 95%

* Fix mypy errors for Role/FinishReason NewType usage

* Fix Role.TOOL and Role.ASSISTANT usage in _orchestrator_helpers.py

* Fix Role NewType usage in durabletask _models.py
2026-02-04 10:13:23 +00:00

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4.6 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
import time
from collections.abc import Awaitable, Callable
from random import randint
from typing import Annotated
from agent_framework import (
AgentMiddleware,
AgentResponse,
AgentRunContext,
ChatMessage,
FunctionInvocationContext,
FunctionMiddleware,
tool,
)
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from pydantic import Field
"""
Class-based Middleware Example
This sample demonstrates how to implement middleware using class-based approach by inheriting
from AgentMiddleware and FunctionMiddleware base classes. The example includes:
- SecurityAgentMiddleware: Checks for security violations in user queries and blocks requests
containing sensitive information like passwords or secrets
- LoggingFunctionMiddleware: Logs function execution details including timing and parameters
This approach is useful when you need stateful middleware or complex logic that benefits
from object-oriented design patterns.
"""
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
@tool(approval_mode="never_require")
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 SecurityAgentMiddleware(AgentMiddleware):
"""Agent middleware that checks for security violations."""
async def process(
self,
context: AgentRunContext,
next: Callable[[AgentRunContext], Awaitable[None]],
) -> None:
# Check for potential security violations in the query
# Look at the last user message
last_message = context.messages[-1] if context.messages else None
if last_message and last_message.text:
query = last_message.text
if "password" in query.lower() or "secret" in query.lower():
print("[SecurityAgentMiddleware] Security Warning: Detected sensitive information, blocking request.")
# Override the result with warning message
context.result = AgentResponse(
messages=[
ChatMessage("assistant", ["Detected sensitive information, the request is blocked."])
]
)
# Simply don't call next() to prevent execution
return
print("[SecurityAgentMiddleware] Security check passed.")
await next(context)
class LoggingFunctionMiddleware(FunctionMiddleware):
"""Function middleware that logs function calls."""
async def process(
self,
context: FunctionInvocationContext,
next: Callable[[FunctionInvocationContext], Awaitable[None]],
) -> None:
function_name = context.function.name
print(f"[LoggingFunctionMiddleware] About to call function: {function_name}.")
start_time = time.time()
await next(context)
end_time = time.time()
duration = end_time - start_time
print(f"[LoggingFunctionMiddleware] Function {function_name} completed in {duration:.5f}s.")
async def main() -> None:
"""Example demonstrating class-based middleware."""
print("=== Class-based Middleware 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="WeatherAgent",
instructions="You are a helpful weather assistant.",
tools=get_weather,
middleware=[SecurityAgentMiddleware(), LoggingFunctionMiddleware()],
) as agent,
):
# Test with normal query
print("\n--- Normal Query ---")
query = "What's the weather like in Seattle?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text}\n")
# Test with security-related query
print("--- Security Test ---")
query = "What's the password for the weather service?"
print(f"User: {query}")
result = await agent.run(query)
print(f"Agent: {result.text}\n")
if __name__ == "__main__":
asyncio.run(main())