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Mark agentserver experimental APIs #48401
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Merged
Shiva S (Shivakishore14)
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sshiva/agentserver-experimental-apis
Aug 4, 2026
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a8b70f8
Mark agentserver experimental APIs
Shivakishore14 2d0d658
Move experimental markers to definitions
Shivakishore14 4e73533
Address experimental API review comments
Shivakishore14 49eb179
Fix experimental class API stub generation
Shivakishore14 1b37929
Update agentserver experimental API stubs
Shivakishore14 925e9f2
Fix core API consistency metadata
Shivakishore14 8629a06
Fix responses docs experimental import
Shivakishore14 99422f5
Fix responses experimental fallback tests
Shivakishore14 6ab995b
Fix agentserver core pylint issues
Shivakishore14 0ff7e6e
Merge branch 'main' into sshiva/agentserver-experimental-apis
Shivakishore14 55511c4
Merge branch 'main' into sshiva/agentserver-experimental-apis
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,3 +1,3 @@ | ||
| apiMdSha256: fd3b7bd1ae87d9b18719027594934c55d968973f159fbc8a5b416d227c67282c | ||
| apiMdSha256: 39d46207ea0196162ea0f0969c6a855a2c49ffbb7348d9649db7b0ae1f02ea68 | ||
| parserVersion: 0.3.30 | ||
| pythonVersion: 3.12.10 | ||
| pythonVersion: 3.12.13 |
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150 changes: 150 additions & 0 deletions
150
sdk/agentserver/azure-ai-agentserver-core/azure/ai/agentserver/core/_experimental.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,150 @@ | ||
| # Copyright (c) Microsoft Corporation. | ||
| # Licensed under the MIT license. | ||
| """Experimental API marker for Agent Server public preview features.""" | ||
|
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| from __future__ import annotations | ||
|
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| import functools | ||
| import inspect | ||
| import logging | ||
| import os | ||
| import sys | ||
| from collections.abc import Callable | ||
| from contextvars import ContextVar | ||
| from typing import TypeVar, overload | ||
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| from typing_extensions import ParamSpec, TypeGuard | ||
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| DOCSTRING_TEMPLATE = ".. note:: {0} {1}\n\n" | ||
| DOCSTRING_DEFAULT_INDENTATION = 8 | ||
| EXPERIMENTAL_CLASS_MESSAGE = "This is an experimental class," | ||
| EXPERIMENTAL_METHOD_MESSAGE = "This is an experimental method," | ||
| EXPERIMENTAL_LINK_MESSAGE = ( | ||
| "and may change at any time. Please see https://aka.ms/azure-ai-agentserver-experimental " | ||
| "for more information." | ||
| ) | ||
| DISABLE_EXPERIMENTAL_WARNING_ENV_VAR = "AZURE_AI_AGENTSERVER_DISABLE_EXPERIMENTAL_WARNING" | ||
| _EXPERIMENTAL_CACHE_KEY_ATTR = "_azure_agentserver_experimental_cache_key" | ||
| _EXPERIMENTAL_MESSAGE_ATTR = "_azure_agentserver_experimental_message" | ||
| _EXPERIMENTAL_WRAPPED_INIT_ATTR = "_azure_agentserver_experimental_wrapped_init" | ||
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| _warning_cache: set[str] = set() | ||
| _experimental_init_active: ContextVar[bool] = ContextVar("experimental_init_active", default=False) | ||
| module_logger = logging.getLogger(__name__) | ||
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| P = ParamSpec("P") | ||
| T = TypeVar("T") | ||
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| @overload | ||
| def experimental(wrapped: type[T]) -> type[T]: ... | ||
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| @overload | ||
| def experimental(wrapped: Callable[P, T]) -> Callable[P, T]: ... | ||
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| def experimental(wrapped: type[T] | Callable[P, T]) -> type[T] | Callable[P, T]: | ||
| """Add an experimental note and runtime warning to a class or function. | ||
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| :param wrapped: Class or callable to mark as experimental. | ||
| :type wrapped: type[T] | Callable[P, T] | ||
| :return: The wrapped class or callable. | ||
| :rtype: type[T] | Callable[P, T] | ||
| """ | ||
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| def is_class(value: type[T] | Callable[P, T]) -> TypeGuard[type[T]]: | ||
| return inspect.isclass(value) | ||
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| if is_class(wrapped): | ||
| return _add_class_docstring(wrapped) | ||
| if inspect.isfunction(wrapped): | ||
| return _add_function_docstring(wrapped) | ||
| return wrapped | ||
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| def _add_class_docstring(cls: type[T]) -> type[T]: | ||
| cache_key = f"class:{cls.__module__}.{cls.__qualname__}" | ||
| message = f"Class {cls.__module__}.{cls.__qualname__}: {EXPERIMENTAL_CLASS_MESSAGE} {EXPERIMENTAL_LINK_MESSAGE}" | ||
| setattr(cls, _EXPERIMENTAL_CACHE_KEY_ATTR, cache_key) | ||
| setattr(cls, _EXPERIMENTAL_MESSAGE_ATTR, message) | ||
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| doc_string = DOCSTRING_TEMPLATE.format(EXPERIMENTAL_CLASS_MESSAGE, EXPERIMENTAL_LINK_MESSAGE) | ||
| if cls.__doc__: | ||
| cls.__doc__ = _add_note_to_docstring(cls.__doc__, doc_string) | ||
| else: | ||
| cls.__doc__ = doc_string + ">" | ||
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| original_init = cls.__init__ | ||
| if "__init__" not in cls.__dict__ or getattr(original_init, _EXPERIMENTAL_WRAPPED_INIT_ATTR, False): | ||
| return cls | ||
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| def wrapped_init(self, *args, **kwargs): # type: ignore[no-untyped-def] | ||
| runtime_cls = type(self) | ||
| runtime_cache_key = getattr(runtime_cls, _EXPERIMENTAL_CACHE_KEY_ATTR, cache_key) | ||
| runtime_message = getattr(runtime_cls, _EXPERIMENTAL_MESSAGE_ATTR, message) | ||
| active = _experimental_init_active.get() | ||
| if not active and not _should_skip_warning() and not _is_warning_cached(runtime_cache_key): | ||
| module_logger.warning(runtime_message) | ||
| if active: | ||
| return original_init(self, *args, **kwargs) | ||
| token = _experimental_init_active.set(True) | ||
| try: | ||
| return original_init(self, *args, **kwargs) | ||
| finally: | ||
| _experimental_init_active.reset(token) | ||
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| if "__init__" in cls.__dict__ and inspect.isfunction(original_init): | ||
| wrapped_init = functools.wraps(original_init)(wrapped_init) | ||
| setattr(wrapped_init, _EXPERIMENTAL_WRAPPED_INIT_ATTR, True) | ||
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| cls.__init__ = wrapped_init # type: ignore[method-assign] | ||
| return cls | ||
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| def _add_function_docstring(func: Callable[P, T]) -> Callable[P, T]: | ||
| doc_string = DOCSTRING_TEMPLATE.format(EXPERIMENTAL_METHOD_MESSAGE, EXPERIMENTAL_LINK_MESSAGE) | ||
| if func.__doc__: | ||
| func.__doc__ = _add_note_to_docstring(func.__doc__, doc_string) | ||
| else: | ||
| func.__doc__ = doc_string + ">" | ||
|
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| @functools.wraps(func) | ||
| def wrapped(*args: P.args, **kwargs: P.kwargs) -> T: | ||
| cache_key = f"function:{func.__module__}.{func.__qualname__}" | ||
| message = ( | ||
| f"Method {func.__module__}.{func.__qualname__}: " | ||
| f"{EXPERIMENTAL_METHOD_MESSAGE} {EXPERIMENTAL_LINK_MESSAGE}" | ||
| ) | ||
| if not _should_skip_warning() and not _is_warning_cached(cache_key): | ||
| module_logger.warning(message) | ||
| return func(*args, **kwargs) | ||
|
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| return wrapped | ||
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| def _add_note_to_docstring(doc_string: str, note: str) -> str: | ||
| indent = _get_indentation_size(doc_string) | ||
| doc_string = doc_string.rjust(len(doc_string) + indent) | ||
| return note + doc_string | ||
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| def _get_indentation_size(doc_string: str) -> int: | ||
| lines = doc_string.expandtabs().splitlines() | ||
| indent = sys.maxsize | ||
| for line in lines[1:]: | ||
| stripped = line.lstrip() | ||
| if stripped: | ||
| indent = min(indent, len(line) - len(stripped)) | ||
| return indent if indent < sys.maxsize else DOCSTRING_DEFAULT_INDENTATION | ||
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| def _should_skip_warning() -> bool: | ||
| return os.getenv(DISABLE_EXPERIMENTAL_WARNING_ENV_VAR, "false").lower() == "true" | ||
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| def _is_warning_cached(cache_key: str) -> bool: | ||
| if cache_key in _warning_cache: | ||
| return True | ||
| _warning_cache.add(cache_key) | ||
| return False | ||
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