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838a7fd61d
* 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
133 lines
4.9 KiB
Python
133 lines
4.9 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from collections.abc import Awaitable, Callable
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from random import randint
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from typing import Annotated
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from agent_framework import (
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FunctionInvocationContext,
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tool,
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)
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from agent_framework.azure import AzureAIAgentClient
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from azure.identity.aio import AzureCliCredential
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from pydantic import Field
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"""
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Shared State Function-based Middleware Example
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This sample demonstrates how to implement function-based middleware within a class to share state.
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The example includes:
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- A MiddlewareContainer class with two simple function middleware methods
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- First middleware: Counts function calls and stores the count in shared state
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- Second middleware: Uses the shared count to add call numbers to function results
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This approach shows how middleware can work together by sharing state within the same class instance.
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"""
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# 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.
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@tool(approval_mode="never_require")
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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@tool(approval_mode="never_require")
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def get_time(
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timezone: Annotated[str, Field(description="The timezone to get the time for.")] = "UTC",
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) -> str:
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"""Get the current time for a given timezone."""
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import datetime
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return f"The current time in {timezone} is {datetime.datetime.now().strftime('%H:%M:%S')}"
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class MiddlewareContainer:
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"""Container class that holds middleware functions with shared state."""
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def __init__(self) -> None:
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# Simple shared state: count function calls
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self.call_count: int = 0
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async def call_counter_middleware(
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self,
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context: FunctionInvocationContext,
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next: Callable[[FunctionInvocationContext], Awaitable[None]],
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) -> None:
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"""First middleware: increments call count in shared state."""
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# Increment the shared call count
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self.call_count += 1
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print(f"[CallCounter] This is function call #{self.call_count}")
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# Call the next middleware/function
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await next(context)
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async def result_enhancer_middleware(
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self,
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context: FunctionInvocationContext,
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next: Callable[[FunctionInvocationContext], Awaitable[None]],
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) -> None:
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"""Second middleware: uses shared call count to enhance function results."""
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print(f"[ResultEnhancer] Current total calls so far: {self.call_count}")
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# Call the next middleware/function
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await next(context)
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# After function execution, enhance the result using shared state
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if context.result:
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enhanced_result = f"[Call #{self.call_count}] {context.result}"
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context.result = enhanced_result
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print("[ResultEnhancer] Enhanced result with call number")
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async def main() -> None:
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"""Example demonstrating shared state function-based middleware."""
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print("=== Shared State Function-based Middleware Example ===")
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# Create middleware container with shared state
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middleware_container = MiddlewareContainer()
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with (
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AzureCliCredential() as credential,
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AzureAIAgentClient(credential=credential).as_agent(
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name="UtilityAgent",
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instructions="You are a helpful assistant that can provide weather information and current time.",
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tools=[get_weather, get_time],
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# Pass both middleware functions from the same container instance
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# Order matters: counter runs first to increment count,
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# then result enhancer uses the updated count
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middleware=[
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middleware_container.call_counter_middleware,
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middleware_container.result_enhancer_middleware,
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],
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) as agent,
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):
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# Test multiple requests to see shared state in action
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queries = [
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"What's the weather like in New York?",
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"What time is it in London?",
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"What's the weather in Tokyo?",
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]
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for i, query in enumerate(queries, 1):
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print(f"\n--- Query {i} ---")
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print(f"User: {query}")
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result = await agent.run(query)
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print(f"Agent: {result.text if result.text else 'No response'}")
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# Display final statistics
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print("\n=== Final Statistics ===")
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print(f"Total function calls made: {middleware_container.call_count}")
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if __name__ == "__main__":
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asyncio.run(main())
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