From d1dde6b77b20e4b2b9ea54bb686c255a56c94fae Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Thu, 5 Mar 2026 18:57:55 +0100 Subject: [PATCH 1/8] Prepare azure-ai-projects 2.0 GA compatibility Add allow_preview support for internal AIProjectClient creation, keep backward compatibility for renamed SDK model classes, and align Azure AI/core paths and tests for GA validation workflows. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../agent_framework_azure_ai/_client.py | 62 +++++++++++++++---- .../_project_provider.py | 45 ++++++++++++-- .../agent_framework_azure_ai/_shared.py | 32 +++++++--- .../azure-ai/tests/test_azure_ai_client.py | 13 +++- .../azure/_responses_client.py | 30 +++++++-- .../02-agents/providers/azure_ai/README.md | 2 +- 6 files changed, 147 insertions(+), 37 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 26fb0c390a..ae5a54e874 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -2,13 +2,14 @@ from __future__ import annotations +import inspect import json import logging import re import sys from collections.abc import Awaitable, Callable, Mapping, MutableMapping, Sequence from contextlib import suppress -from typing import Any, ClassVar, Generic, Literal, TypedDict, TypeVar, cast +from typing import TYPE_CHECKING, Any, ClassVar, Generic, Literal, TypedDict, TypeVar, cast from agent_framework import ( AGENT_FRAMEWORK_USER_AGENT, @@ -37,9 +38,7 @@ from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( ApproximateLocation, - CodeInterpreterContainerAuto, CodeInterpreterTool, - FoundryFeaturesOptInKeys, ImageGenTool, MCPTool, PromptAgentDefinition, @@ -66,6 +65,13 @@ else: from typing_extensions import Self, TypedDict # type: ignore # pragma: no cover +if TYPE_CHECKING: + from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam +else: + try: + from azure.ai.projects.models import AutoCodeInterpreterToolParam + except ImportError: # pragma: no cover - compatibility with azure-ai-projects<2.0.0 + from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam logger = logging.getLogger("agent_framework.azure") @@ -79,8 +85,8 @@ class AzureAIProjectAgentOptions(OpenAIResponsesOptions, total=False): reasoning: Reasoning # type: ignore[misc] """Configuration for enabling reasoning capabilities (requires azure.ai.projects.models.Reasoning).""" - foundry_features: FoundryFeaturesOptInKeys | str - """Optional Foundry preview feature opt-in for agent version creation.""" + foundry_features: str + """Optional Foundry preview feature key for older Azure AI Projects SDK versions.""" AzureAIClientOptionsT = TypeVar( @@ -93,6 +99,20 @@ class AzureAIProjectAgentOptions(OpenAIResponsesOptions, total=False): _DOC_INDEX_PATTERN = re.compile(r"doc_(\d+)") +def _supports_keyword_argument(value: Any, keyword: str) -> bool: + """Return True when *value* has an explicit parameter named *keyword*.""" + with suppress(TypeError, ValueError): + signature = inspect.signature(value) + return keyword in signature.parameters + return False + + +def _project_client_allows_preview(project_client: AIProjectClient) -> bool: + """Return whether the project client is configured to allow preview operations.""" + allow_preview = getattr(getattr(project_client, "_config", None), "allow_preview", None) + return bool(allow_preview) + + class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[AzureAIClientOptionsT]): """Raw Azure AI client without middleware, telemetry, or function invocation layers. @@ -123,6 +143,7 @@ def __init__( model_deployment_name: str | None = None, credential: AzureCredentialTypes | None = None, use_latest_version: bool | None = None, + allow_preview: bool | None = None, env_file_path: str | None = None, env_file_encoding: str | None = None, **kwargs: Any, @@ -148,6 +169,8 @@ def __init__( AsyncTokenCredential, or a callable token provider. use_latest_version: Boolean flag that indicates whether to use latest agent version if it exists in the service. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` + when supported by the installed ``azure-ai-projects`` version. env_file_path: Path to environment file for loading settings. env_file_encoding: Encoding of the environment file. kwargs: Additional keyword arguments passed to the parent class. @@ -208,11 +231,14 @@ class MyOptions(ChatOptions, total=False): # Use provided credential if not credential: raise ValueError("Azure credential is required when project_client is not provided.") - project_client = AIProjectClient( - endpoint=resolved_endpoint, - credential=credential, # type: ignore[arg-type] - user_agent=AGENT_FRAMEWORK_USER_AGENT, - ) + project_client_kwargs: dict[str, Any] = { + "endpoint": resolved_endpoint, + "credential": credential, # type: ignore[arg-type] + "user_agent": AGENT_FRAMEWORK_USER_AGENT, + } + if allow_preview is not None and _supports_keyword_argument(AIProjectClient, "allow_preview"): + project_client_kwargs["allow_preview"] = allow_preview + project_client = AIProjectClient(**project_client_kwargs) should_close_client = True # Initialize parent @@ -229,6 +255,11 @@ class MyOptions(ChatOptions, total=False): self.credential = credential self.model_id = azure_ai_settings.get("model_deployment_name") self.conversation_id = conversation_id + self._allow_preview = bool(allow_preview) or _project_client_allows_preview(project_client) + self._supports_create_version_foundry_features = _supports_keyword_argument( + self.project_client.agents.create_version, + "foundry_features", + ) # Track whether the application endpoint is used self._is_application_endpoint = "/applications/" in project_client._config.endpoint # type: ignore @@ -414,7 +445,13 @@ async def _get_agent_reference_or_create( "description": self.agent_description, } if foundry_features := run_options.get("foundry_features"): - create_version_kwargs["foundry_features"] = foundry_features + if self._supports_create_version_foundry_features: + create_version_kwargs["foundry_features"] = foundry_features + elif not self._allow_preview: + raise ValueError( + "Preview agent features require allow_preview=True on AIProjectClient " + "when using azure-ai-projects 2.0 GA." + ) created_agent = await self.project_client.agents.create_version(**create_version_kwargs) @@ -514,6 +551,7 @@ def _remove_agent_level_run_options( "top_p": ("top_p",), "reasoning": ("reasoning",), "foundry_features": ("foundry_features",), + "allow_preview": ("allow_preview",), } for run_keys in agent_level_option_to_run_keys.values(): @@ -939,7 +977,7 @@ def get_code_interpreter_tool( # type: ignore[override] if file_ids is None and isinstance(container, dict): file_ids = container.get("file_ids") resolved = resolve_file_ids(file_ids) - tool_container = CodeInterpreterContainerAuto(file_ids=resolved) + tool_container = AutoCodeInterpreterToolParam(file_ids=resolved) return CodeInterpreterTool(container=tool_container, **kwargs) @staticmethod diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py index 335a7f16ec..1f53e2bc2b 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py @@ -2,9 +2,11 @@ from __future__ import annotations +import inspect import logging import sys from collections.abc import Callable, Mapping, MutableMapping, Sequence +from contextlib import suppress from typing import Any, Generic from agent_framework import ( @@ -45,6 +47,20 @@ logger = logging.getLogger("agent_framework.azure") +def _supports_keyword_argument(value: Any, keyword: str) -> bool: + """Return True when *value* has an explicit parameter named *keyword*.""" + with suppress(TypeError, ValueError): + signature = inspect.signature(value) + return keyword in signature.parameters + return False + + +def _project_client_allows_preview(project_client: AIProjectClient) -> bool: + """Return whether the project client is configured to allow preview operations.""" + allow_preview = getattr(getattr(project_client, "_config", None), "allow_preview", None) + return bool(allow_preview) + + # Type variable for options - allows typed Agent[OptionsT] returns # Default matches AzureAIClient's default options type OptionsCoT = TypeVar( @@ -102,6 +118,7 @@ def __init__( project_endpoint: str | None = None, model: str | None = None, credential: AzureCredentialTypes | None = None, + allow_preview: bool | None = None, env_file_path: str | None = None, env_file_encoding: str | None = None, ) -> None: @@ -117,6 +134,8 @@ def __init__( credential: Azure credential for authentication. Accepts a TokenCredential, AsyncTokenCredential, or a callable token provider. Required when project_client is not provided. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` + when supported by the installed ``azure-ai-projects`` version. env_file_path: Path to environment file for loading settings. env_file_encoding: Encoding of the environment file. @@ -146,14 +165,22 @@ def __init__( if not credential: raise ValueError("Azure credential is required when project_client is not provided.") - project_client = AIProjectClient( - endpoint=resolved_endpoint, - credential=credential, # type: ignore[arg-type] - user_agent=AGENT_FRAMEWORK_USER_AGENT, - ) + project_client_kwargs: dict[str, Any] = { + "endpoint": resolved_endpoint, + "credential": credential, # type: ignore[arg-type] + "user_agent": AGENT_FRAMEWORK_USER_AGENT, + } + if allow_preview is not None and _supports_keyword_argument(AIProjectClient, "allow_preview"): + project_client_kwargs["allow_preview"] = allow_preview + project_client = AIProjectClient(**project_client_kwargs) self._should_close_client = True self._project_client = project_client + self._allow_preview = bool(allow_preview) or _project_client_allows_preview(project_client) + self._supports_create_version_foundry_features = _supports_keyword_argument( + self._project_client.agents.create_version, + "foundry_features", + ) async def create_agent( self, @@ -247,7 +274,13 @@ async def create_agent( "description": description, } if foundry_features: - create_version_kwargs["foundry_features"] = foundry_features + if self._supports_create_version_foundry_features: + create_version_kwargs["foundry_features"] = foundry_features + elif not self._allow_preview: + raise ValueError( + "Preview agent features require allow_preview=True on AIProjectClient " + "when using azure-ai-projects 2.0 GA." + ) created_agent = await self._project_client.agents.create_version(**create_version_kwargs) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py index 59289d2746..584dd16833 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py @@ -5,7 +5,7 @@ import logging import sys from collections.abc import Mapping, MutableMapping, Sequence -from typing import Any, cast +from typing import TYPE_CHECKING, Any, cast from agent_framework import ( Content, @@ -19,8 +19,6 @@ from azure.ai.projects.models import ( CodeInterpreterTool, MCPTool, - TextResponseFormatConfigurationResponseFormatJsonObject, - TextResponseFormatConfigurationResponseFormatText, TextResponseFormatJsonSchema, Tool, WebSearchPreviewTool, @@ -38,6 +36,24 @@ else: from typing_extensions import TypedDict # type: ignore # pragma: no cover +if TYPE_CHECKING: + from azure.ai.projects.models import ( + TextResponseFormatConfigurationResponseFormatJsonObject as TextResponseFormatJsonObject, + ) + from azure.ai.projects.models import ( + TextResponseFormatConfigurationResponseFormatText as TextResponseFormatText, + ) +else: + try: + from azure.ai.projects.models import TextResponseFormatJsonObject, TextResponseFormatText + except ImportError: # pragma: no cover - compatibility with azure-ai-projects<2.0.0 + from azure.ai.projects.models import ( + TextResponseFormatConfigurationResponseFormatJsonObject as TextResponseFormatJsonObject, + ) + from azure.ai.projects.models import ( + TextResponseFormatConfigurationResponseFormatText as TextResponseFormatText, + ) + logger = logging.getLogger("agent_framework.azure") @@ -479,11 +495,7 @@ def _prepare_mcp_tool_dict_for_azure_ai(tool_dict: dict[str, Any]) -> MCPTool: def create_text_format_config( response_format: type[BaseModel] | Mapping[str, Any], -) -> ( - TextResponseFormatJsonSchema - | TextResponseFormatConfigurationResponseFormatJsonObject - | TextResponseFormatConfigurationResponseFormatText -): +) -> TextResponseFormatJsonSchema | TextResponseFormatJsonObject | TextResponseFormatText: """Convert response_format into Azure text format configuration.""" if isinstance(response_format, type) and issubclass(response_format, BaseModel): schema = response_format.model_json_schema() @@ -513,9 +525,9 @@ def create_text_format_config( config_kwargs["description"] = format_config["description"] return TextResponseFormatJsonSchema(**config_kwargs) if format_type == "json_object": - return TextResponseFormatConfigurationResponseFormatJsonObject() + return TextResponseFormatJsonObject() if format_type == "text": - return TextResponseFormatConfigurationResponseFormatText() + return TextResponseFormatText() raise IntegrationInvalidRequestException("response_format must be a Pydantic model or mapping.") diff --git a/python/packages/azure-ai/tests/test_azure_ai_client.py b/python/packages/azure-ai/tests/test_azure_ai_client.py index 8760197284..210d897061 100644 --- a/python/packages/azure-ai/tests/test_azure_ai_client.py +++ b/python/packages/azure-ai/tests/test_azure_ai_client.py @@ -5,7 +5,7 @@ import sys from collections.abc import AsyncGenerator, AsyncIterator from contextlib import asynccontextmanager -from typing import Annotated, Any +from typing import TYPE_CHECKING, Annotated, Any from unittest.mock import AsyncMock, MagicMock, patch from uuid import uuid4 @@ -28,7 +28,6 @@ from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( ApproximateLocation, - CodeInterpreterContainerAuto, CodeInterpreterTool, FileSearchTool, ImageGenTool, @@ -46,6 +45,14 @@ from agent_framework_azure_ai import AzureAIClient, AzureAISettings from agent_framework_azure_ai._shared import from_azure_ai_tools +if TYPE_CHECKING: + from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam +else: + try: + from azure.ai.projects.models import AutoCodeInterpreterToolParam + except ImportError: # pragma: no cover - compatibility with azure-ai-projects<2.0.0 + from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam + skip_if_azure_ai_integration_tests_disabled = pytest.mark.skipif( os.getenv("AZURE_AI_PROJECT_ENDPOINT", "") in ("", "https://test-project.cognitiveservices.azure.com/") or os.getenv("AZURE_AI_MODEL_DEPLOYMENT_NAME", "") == "", @@ -1296,7 +1303,7 @@ def test_from_azure_ai_tools_mcp() -> None: def test_from_azure_ai_tools_code_interpreter() -> None: """Test from_azure_ai_tools with Code Interpreter tool.""" - ci_tool = CodeInterpreterTool(container=CodeInterpreterContainerAuto(file_ids=["file-1"])) + ci_tool = CodeInterpreterTool(container=AutoCodeInterpreterToolParam(file_ids=["file-1"])) parsed_tools = from_azure_ai_tools([ci_tool]) assert len(parsed_tools) == 1 assert parsed_tools[0]["type"] == "code_interpreter" diff --git a/python/packages/core/agent_framework/azure/_responses_client.py b/python/packages/core/agent_framework/azure/_responses_client.py index a420108ce0..20e4e88506 100644 --- a/python/packages/core/agent_framework/azure/_responses_client.py +++ b/python/packages/core/agent_framework/azure/_responses_client.py @@ -2,8 +2,10 @@ from __future__ import annotations +import inspect import sys from collections.abc import Mapping, Sequence +from contextlib import suppress from typing import TYPE_CHECKING, Any, Generic from urllib.parse import urljoin, urlparse @@ -49,6 +51,14 @@ ) +def _supports_keyword_argument(value: Any, keyword: str) -> bool: + """Return True when *value* has an explicit parameter named *keyword*.""" + with suppress(TypeError, ValueError): + signature = inspect.signature(value) + return keyword in signature.parameters + return False + + class AzureOpenAIResponsesClient( # type: ignore[misc] AzureOpenAIConfigMixin, ChatMiddlewareLayer[AzureOpenAIResponsesOptionsT], @@ -73,6 +83,7 @@ def __init__( async_client: AsyncOpenAI | None = None, project_client: Any | None = None, project_endpoint: str | None = None, + allow_preview: bool | None = None, env_file_path: str | None = None, env_file_encoding: str | None = None, instruction_role: str | None = None, @@ -120,6 +131,8 @@ def __init__( project_endpoint: The Azure AI Foundry project endpoint URL. When provided with ``credential``, an ``AIProjectClient`` will be created and used to obtain the OpenAI client. Requires the ``azure-ai-projects`` package. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` + when supported by the installed ``azure-ai-projects`` version. env_file_path: Use the environment settings file as a fallback to using env vars. env_file_encoding: The encoding of the environment settings file, defaults to 'utf-8'. instruction_role: The role to use for 'instruction' messages, for example, summarization @@ -189,6 +202,7 @@ class MyOptions(AzureOpenAIResponsesOptions, total=False): project_client=project_client, project_endpoint=project_endpoint, credential=credential, + allow_preview=allow_preview, ) azure_openai_settings = load_settings( @@ -246,6 +260,7 @@ def _create_client_from_project( project_client: AIProjectClient | None, project_endpoint: str | None, credential: AzureCredentialTypes | AzureTokenProvider | None, + allow_preview: bool | None = None, ) -> AsyncOpenAI: """Create an AsyncOpenAI client from an Azure AI Foundry project. @@ -253,6 +268,8 @@ def _create_client_from_project( project_client: An existing AIProjectClient to use. project_endpoint: The Azure AI Foundry project endpoint URL. credential: Azure credential for authentication. + allow_preview: Enables preview opt-in when constructing an ``AIProjectClient`` + and supported by the installed ``azure-ai-projects`` version. Returns: An AsyncAzureOpenAI client obtained from the project client. @@ -268,11 +285,14 @@ def _create_client_from_project( raise ValueError("Azure AI project endpoint is required when project_client is not provided.") if not credential: raise ValueError("Azure credential is required when using project_endpoint without a project_client.") - project_client = AIProjectClient( - endpoint=project_endpoint, - credential=credential, # type: ignore[arg-type] - user_agent=AGENT_FRAMEWORK_USER_AGENT, - ) + project_client_kwargs: dict[str, Any] = { + "endpoint": project_endpoint, + "credential": credential, # type: ignore[arg-type] + "user_agent": AGENT_FRAMEWORK_USER_AGENT, + } + if allow_preview is not None and _supports_keyword_argument(AIProjectClient, "allow_preview"): + project_client_kwargs["allow_preview"] = allow_preview + project_client = AIProjectClient(**project_client_kwargs) return project_client.get_openai_client() @override diff --git a/python/samples/02-agents/providers/azure_ai/README.md b/python/samples/02-agents/providers/azure_ai/README.md index d49147989f..3a73350f24 100644 --- a/python/samples/02-agents/providers/azure_ai/README.md +++ b/python/samples/02-agents/providers/azure_ai/README.md @@ -1,6 +1,6 @@ # Azure AI Agent Examples -This folder contains examples demonstrating different ways to create and use agents with the Azure AI client from the `agent_framework.azure` package. These examples use the `AzureAIClient` with the `azure-ai-projects` 2.x (V2) API surface (see [changelog](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/CHANGELOG.md#200b1-2025-11-11)). For V1 (`azure-ai-agents` 1.x) samples using `AzureAIAgentClient`, see the [Azure AI V1 examples folder](../azure_ai_agent/). +This folder contains examples demonstrating different ways to create and use agents with the Azure AI client from the `agent_framework.azure` package. These examples use the `AzureAIClient` with the `azure-ai-projects` 2.x (V2) API surface (see [changelog](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/CHANGELOG.md#200b1-2025-11-11)). For V1 (`azure-ai-agents` 1.x) samples using `AzureAIAgentClient`, see the [Azure AI V1 examples folder](../azure_ai_agent/). When using preview-only agent creation features on GA SDK versions, create `AIProjectClient` with `allow_preview=True`. ## Examples From 8092804d68610fc4af8df9d3bf2edabfd14e5d8a Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Sat, 7 Mar 2026 10:04:41 +0100 Subject: [PATCH 2/8] upgrade to ai-project==2.0.0 --- .../agent_framework_azure_ai/_client.py | 11 +- .../agent_framework_azure_ai/_shared.py | 22 +- .../azure-ai/tests/test_azure_ai_client.py | 11 +- python/packages/core/pyproject.toml | 2 +- .../tests/workflow/test_function_executor.py | 6 +- python/uv.lock | 228 +++++++++--------- 6 files changed, 125 insertions(+), 155 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index ae5a54e874..0b61853f54 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -9,7 +9,7 @@ import sys from collections.abc import Awaitable, Callable, Mapping, MutableMapping, Sequence from contextlib import suppress -from typing import TYPE_CHECKING, Any, ClassVar, Generic, Literal, TypedDict, TypeVar, cast +from typing import Any, ClassVar, Generic, Literal, TypedDict, TypeVar, cast from agent_framework import ( AGENT_FRAMEWORK_USER_AGENT, @@ -38,6 +38,7 @@ from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( ApproximateLocation, + AutoCodeInterpreterToolParam, CodeInterpreterTool, ImageGenTool, MCPTool, @@ -65,14 +66,6 @@ else: from typing_extensions import Self, TypedDict # type: ignore # pragma: no cover -if TYPE_CHECKING: - from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam -else: - try: - from azure.ai.projects.models import AutoCodeInterpreterToolParam - except ImportError: # pragma: no cover - compatibility with azure-ai-projects<2.0.0 - from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam - logger = logging.getLogger("agent_framework.azure") diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py index 584dd16833..35b665e932 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py @@ -5,7 +5,7 @@ import logging import sys from collections.abc import Mapping, MutableMapping, Sequence -from typing import TYPE_CHECKING, Any, cast +from typing import Any, cast from agent_framework import ( Content, @@ -19,7 +19,9 @@ from azure.ai.projects.models import ( CodeInterpreterTool, MCPTool, + TextResponseFormatJsonObject, TextResponseFormatJsonSchema, + TextResponseFormatText, Tool, WebSearchPreviewTool, ) @@ -36,24 +38,6 @@ else: from typing_extensions import TypedDict # type: ignore # pragma: no cover -if TYPE_CHECKING: - from azure.ai.projects.models import ( - TextResponseFormatConfigurationResponseFormatJsonObject as TextResponseFormatJsonObject, - ) - from azure.ai.projects.models import ( - TextResponseFormatConfigurationResponseFormatText as TextResponseFormatText, - ) -else: - try: - from azure.ai.projects.models import TextResponseFormatJsonObject, TextResponseFormatText - except ImportError: # pragma: no cover - compatibility with azure-ai-projects<2.0.0 - from azure.ai.projects.models import ( - TextResponseFormatConfigurationResponseFormatJsonObject as TextResponseFormatJsonObject, - ) - from azure.ai.projects.models import ( - TextResponseFormatConfigurationResponseFormatText as TextResponseFormatText, - ) - logger = logging.getLogger("agent_framework.azure") diff --git a/python/packages/azure-ai/tests/test_azure_ai_client.py b/python/packages/azure-ai/tests/test_azure_ai_client.py index 210d897061..f0246f40b2 100644 --- a/python/packages/azure-ai/tests/test_azure_ai_client.py +++ b/python/packages/azure-ai/tests/test_azure_ai_client.py @@ -5,7 +5,7 @@ import sys from collections.abc import AsyncGenerator, AsyncIterator from contextlib import asynccontextmanager -from typing import TYPE_CHECKING, Annotated, Any +from typing import Annotated, Any from unittest.mock import AsyncMock, MagicMock, patch from uuid import uuid4 @@ -28,6 +28,7 @@ from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( ApproximateLocation, + AutoCodeInterpreterToolParam, CodeInterpreterTool, FileSearchTool, ImageGenTool, @@ -45,14 +46,6 @@ from agent_framework_azure_ai import AzureAIClient, AzureAISettings from agent_framework_azure_ai._shared import from_azure_ai_tools -if TYPE_CHECKING: - from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam -else: - try: - from azure.ai.projects.models import AutoCodeInterpreterToolParam - except ImportError: # pragma: no cover - compatibility with azure-ai-projects<2.0.0 - from azure.ai.projects.models import CodeInterpreterContainerAuto as AutoCodeInterpreterToolParam - skip_if_azure_ai_integration_tests_disabled = pytest.mark.skipif( os.getenv("AZURE_AI_PROJECT_ENDPOINT", "") in ("", "https://test-project.cognitiveservices.azure.com/") or os.getenv("AZURE_AI_MODEL_DEPLOYMENT_NAME", "") == "", diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml index a789986898..b51fb6321d 100644 --- a/python/packages/core/pyproject.toml +++ b/python/packages/core/pyproject.toml @@ -34,7 +34,7 @@ dependencies = [ # connectors and functions "openai>=1.99.0", "azure-identity>=1,<2", - "azure-ai-projects == 2.0.0b4", + "azure-ai-projects>=2.0.0,<3.0", "mcp[ws]>=1.24.0,<2", "packaging>=24.1", ] diff --git a/python/packages/core/tests/workflow/test_function_executor.py b/python/packages/core/tests/workflow/test_function_executor.py index 8bb3f94d29..2ac083d943 100644 --- a/python/packages/core/tests/workflow/test_function_executor.py +++ b/python/packages/core/tests/workflow/test_function_executor.py @@ -544,19 +544,19 @@ async def my_async_func(): static_wrapped = staticmethod(my_async_func) # Direct check on descriptor object fails (this is the bug) - assert not asyncio.iscoroutinefunction(static_wrapped) + assert not asyncio.iscoroutinefunction(static_wrapped) # type: ignore[reportDeprecated] assert isinstance(static_wrapped, staticmethod) # But unwrapping __func__ reveals the async function unwrapped = static_wrapped.__func__ - assert asyncio.iscoroutinefunction(unwrapped) + assert asyncio.iscoroutinefunction(unwrapped) # type: ignore[reportDeprecated] # When accessed via class attribute, Python's descriptor protocol # automatically unwraps it, so it works: class C: async_static = static_wrapped - assert asyncio.iscoroutinefunction(C.async_static) # Works via descriptor protocol + assert asyncio.iscoroutinefunction(C.async_static) # type: ignore[reportDeprecated] # Works via descriptor protocol class 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Also fix pyright typing in FoundryMemoryProvider memory store calls by using ResponseInputItemParam-typed items. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- python/AGENTS.md | 7 +++++ .../agent_framework_azure_ai/_client.py | 30 ++---------------- .../_foundry_memory_provider.py | 7 +++-- .../_project_provider.py | 31 ++----------------- .../azure/_responses_client.py | 12 +------ 5 files changed, 16 insertions(+), 71 deletions(-) diff --git a/python/AGENTS.md b/python/AGENTS.md index 1a7e430195..7ec268dcd1 100644 --- a/python/AGENTS.md +++ b/python/AGENTS.md @@ -20,6 +20,13 @@ When making changes to a package, check if the following need updates: - The package's `AGENTS.md` file (adding/removing/renaming public APIs, architecture changes, import path changes) - The agent skills in `.github/skills/` if conventions, commands, or workflows change +## Pull Request Description Guidance + +When preparing a PR description: +- Follow the repository PR template at `.github/pull_request_template.md` and keep its structure/headings. +- Describe the net change relative to `main` (this is implied; do not call it out explicitly as "vs main"). +- Do not add ad-hoc validation sections (for example, "Validation" or "Tests run"); CI/CD and the template checklist cover validation status. + ## Quick Reference Run `uv run poe` from the `python/` directory to see available commands. See [DEV_SETUP.md](DEV_SETUP.md) for detailed usage. diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 0b61853f54..2e426cda34 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -2,7 +2,6 @@ from __future__ import annotations -import inspect import json import logging import re @@ -92,20 +91,6 @@ class AzureAIProjectAgentOptions(OpenAIResponsesOptions, total=False): _DOC_INDEX_PATTERN = re.compile(r"doc_(\d+)") -def _supports_keyword_argument(value: Any, keyword: str) -> bool: - """Return True when *value* has an explicit parameter named *keyword*.""" - with suppress(TypeError, ValueError): - signature = inspect.signature(value) - return keyword in signature.parameters - return False - - -def _project_client_allows_preview(project_client: AIProjectClient) -> bool: - """Return whether the project client is configured to allow preview operations.""" - allow_preview = getattr(getattr(project_client, "_config", None), "allow_preview", None) - return bool(allow_preview) - - class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[AzureAIClientOptionsT]): """Raw Azure AI client without middleware, telemetry, or function invocation layers. @@ -229,7 +214,7 @@ class MyOptions(ChatOptions, total=False): "credential": credential, # type: ignore[arg-type] "user_agent": AGENT_FRAMEWORK_USER_AGENT, } - if allow_preview is not None and _supports_keyword_argument(AIProjectClient, "allow_preview"): + if allow_preview is not None: project_client_kwargs["allow_preview"] = allow_preview project_client = AIProjectClient(**project_client_kwargs) should_close_client = True @@ -248,11 +233,6 @@ class MyOptions(ChatOptions, total=False): self.credential = credential self.model_id = azure_ai_settings.get("model_deployment_name") self.conversation_id = conversation_id - self._allow_preview = bool(allow_preview) or _project_client_allows_preview(project_client) - self._supports_create_version_foundry_features = _supports_keyword_argument( - self.project_client.agents.create_version, - "foundry_features", - ) # Track whether the application endpoint is used self._is_application_endpoint = "/applications/" in project_client._config.endpoint # type: ignore @@ -438,13 +418,7 @@ async def _get_agent_reference_or_create( "description": self.agent_description, } if foundry_features := run_options.get("foundry_features"): - if self._supports_create_version_foundry_features: - create_version_kwargs["foundry_features"] = foundry_features - elif not self._allow_preview: - raise ValueError( - "Preview agent features require allow_preview=True on AIProjectClient " - "when using azure-ai-projects 2.0 GA." - ) + create_version_kwargs["foundry_features"] = foundry_features created_agent = await self.project_client.agents.create_version(**create_version_kwargs) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py index d02eb31bb6..08c2280146 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py @@ -18,6 +18,7 @@ from agent_framework._settings import load_settings from agent_framework.azure._entra_id_authentication import AzureCredentialTypes from azure.ai.projects.aio import AIProjectClient +from openai.types.responses import ResponseInputItemParam from ._shared import AzureAISettings @@ -169,8 +170,8 @@ async def before_run( return # Convert input messages to memory search item format - items = [ - {"type": "text", "text": msg.text} + items: list[ResponseInputItemParam] = [ + {"type": "message", "role": "user", "content": msg.text} for msg in context.input_messages if msg and msg.text and msg.text.strip() ] @@ -224,7 +225,7 @@ async def after_run( messages_to_store.extend(context.response.messages) # Filter and convert messages to memory update item format - items: list[dict[str, str]] = [] + items: list[ResponseInputItemParam] = [] for message in messages_to_store: if message.role in {"user", "assistant", "system"} and message.text and message.text.strip(): if message.role == "user": diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py index 1f53e2bc2b..76a091be5c 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py @@ -2,11 +2,9 @@ from __future__ import annotations -import inspect import logging import sys from collections.abc import Callable, Mapping, MutableMapping, Sequence -from contextlib import suppress from typing import Any, Generic from agent_framework import ( @@ -47,20 +45,6 @@ logger = logging.getLogger("agent_framework.azure") -def _supports_keyword_argument(value: Any, keyword: str) -> bool: - """Return True when *value* has an explicit parameter named *keyword*.""" - with suppress(TypeError, ValueError): - signature = inspect.signature(value) - return keyword in signature.parameters - return False - - -def _project_client_allows_preview(project_client: AIProjectClient) -> bool: - """Return whether the project client is configured to allow preview operations.""" - allow_preview = getattr(getattr(project_client, "_config", None), "allow_preview", None) - return bool(allow_preview) - - # Type variable for options - allows typed Agent[OptionsT] returns # Default matches AzureAIClient's default options type OptionsCoT = TypeVar( @@ -170,17 +154,12 @@ def __init__( "credential": credential, # type: ignore[arg-type] "user_agent": AGENT_FRAMEWORK_USER_AGENT, } - if allow_preview is not None and _supports_keyword_argument(AIProjectClient, "allow_preview"): + if allow_preview is not None: project_client_kwargs["allow_preview"] = allow_preview project_client = AIProjectClient(**project_client_kwargs) self._should_close_client = True self._project_client = project_client - self._allow_preview = bool(allow_preview) or _project_client_allows_preview(project_client) - self._supports_create_version_foundry_features = _supports_keyword_argument( - self._project_client.agents.create_version, - "foundry_features", - ) async def create_agent( self, @@ -274,13 +253,7 @@ async def create_agent( "description": description, } if foundry_features: - if self._supports_create_version_foundry_features: - create_version_kwargs["foundry_features"] = foundry_features - elif not self._allow_preview: - raise ValueError( - "Preview agent features require allow_preview=True on AIProjectClient " - "when using azure-ai-projects 2.0 GA." - ) + create_version_kwargs["foundry_features"] = foundry_features created_agent = await self._project_client.agents.create_version(**create_version_kwargs) diff --git a/python/packages/core/agent_framework/azure/_responses_client.py b/python/packages/core/agent_framework/azure/_responses_client.py index 20e4e88506..ab397d2192 100644 --- a/python/packages/core/agent_framework/azure/_responses_client.py +++ b/python/packages/core/agent_framework/azure/_responses_client.py @@ -2,10 +2,8 @@ from __future__ import annotations -import inspect import sys from collections.abc import Mapping, Sequence -from contextlib import suppress from typing import TYPE_CHECKING, Any, Generic from urllib.parse import urljoin, urlparse @@ -51,14 +49,6 @@ ) -def _supports_keyword_argument(value: Any, keyword: str) -> bool: - """Return True when *value* has an explicit parameter named *keyword*.""" - with suppress(TypeError, ValueError): - signature = inspect.signature(value) - return keyword in signature.parameters - return False - - class AzureOpenAIResponsesClient( # type: ignore[misc] AzureOpenAIConfigMixin, ChatMiddlewareLayer[AzureOpenAIResponsesOptionsT], @@ -290,7 +280,7 @@ def _create_client_from_project( "credential": credential, # type: ignore[arg-type] "user_agent": AGENT_FRAMEWORK_USER_AGENT, } - if allow_preview is not None and _supports_keyword_argument(AIProjectClient, "allow_preview"): + if allow_preview is not None: project_client_kwargs["allow_preview"] = allow_preview project_client = AIProjectClient(**project_client_kwargs) return project_client.get_openai_client() From 21e12c4d5cc08f1ba3ef55e0c1a8d9f195e97467 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Sat, 7 Mar 2026 10:51:06 +0100 Subject: [PATCH 4/8] check fixes --- python/packages/core/agent_framework/_skills.py | 4 +--- .../_workflows/_executors_tools.py | 3 +-- .../devui/agent_framework_devui/models/_discovery_models.py | 2 +- 3 files changed, 3 insertions(+), 6 deletions(-) diff --git a/python/packages/core/agent_framework/_skills.py b/python/packages/core/agent_framework/_skills.py index c7d59d789e..fc71329a5f 100644 --- a/python/packages/core/agent_framework/_skills.py +++ b/python/packages/core/agent_framework/_skills.py @@ -112,9 +112,7 @@ def __init__( self._accepts_kwargs: bool = False if function is not None: sig = inspect.signature(function) - self._accepts_kwargs = any( - p.kind == inspect.Parameter.VAR_KEYWORD for p in sig.parameters.values() - ) + self._accepts_kwargs = any(p.kind == inspect.Parameter.VAR_KEYWORD for p in sig.parameters.values()) class Skill: diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py index 85aa4f6a5a..34396a85c2 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py @@ -15,11 +15,10 @@ import logging import uuid from abc import abstractmethod -from collections.abc import Mapping +from collections.abc import Callable, Mapping from dataclasses import dataclass, field from inspect import isawaitable from typing import Any, cast -from collections.abc import Callable from agent_framework import ( Content, diff --git a/python/packages/devui/agent_framework_devui/models/_discovery_models.py b/python/packages/devui/agent_framework_devui/models/_discovery_models.py index 47e6d1bdcc..1e1f19e04d 100644 --- a/python/packages/devui/agent_framework_devui/models/_discovery_models.py +++ b/python/packages/devui/agent_framework_devui/models/_discovery_models.py @@ -5,8 +5,8 @@ from __future__ import annotations import re -from typing import Any, cast from collections.abc import Callable +from typing import Any, cast from pydantic import BaseModel, Field, field_validator From ab26ce904184725f95bebfda7f711595c1d034a3 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Sat, 7 Mar 2026 13:34:36 +0100 Subject: [PATCH 5/8] Python: remove unsupported foundry_features option Drop foundry_features from Azure AI client and provider surfaces because azure-ai-projects 2.0.0 does not expose that create_version parameter. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/azure-ai/agent_framework_azure_ai/_client.py | 6 ------ .../azure-ai/agent_framework_azure_ai/_project_provider.py | 3 --- 2 files changed, 9 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 2e426cda34..2ad07f6a09 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -77,9 +77,6 @@ class AzureAIProjectAgentOptions(OpenAIResponsesOptions, total=False): reasoning: Reasoning # type: ignore[misc] """Configuration for enabling reasoning capabilities (requires azure.ai.projects.models.Reasoning).""" - foundry_features: str - """Optional Foundry preview feature key for older Azure AI Projects SDK versions.""" - AzureAIClientOptionsT = TypeVar( "AzureAIClientOptionsT", @@ -417,8 +414,6 @@ async def _get_agent_reference_or_create( "definition": PromptAgentDefinition(**args), "description": self.agent_description, } - if foundry_features := run_options.get("foundry_features"): - create_version_kwargs["foundry_features"] = foundry_features created_agent = await self.project_client.agents.create_version(**create_version_kwargs) @@ -517,7 +512,6 @@ def _remove_agent_level_run_options( "temperature": ("temperature",), "top_p": ("top_p",), "reasoning": ("reasoning",), - "foundry_features": ("foundry_features",), "allow_preview": ("allow_preview",), } diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py index 76a091be5c..d0d0528107 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py @@ -205,7 +205,6 @@ async def create_agent( response_format = opts.get("response_format") rai_config = opts.get("rai_config") reasoning = opts.get("reasoning") - foundry_features = opts.get("foundry_features") args: dict[str, Any] = {"model": resolved_model} @@ -252,8 +251,6 @@ async def create_agent( "definition": PromptAgentDefinition(**args), "description": description, } - if foundry_features: - create_version_kwargs["foundry_features"] = foundry_features created_agent = await self._project_client.agents.create_version(**create_version_kwargs) From 7e464976541d4e45af43b3d10fd28d583c54b9b2 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Sat, 7 Mar 2026 13:44:22 +0100 Subject: [PATCH 6/8] Python: add allow_preview to Foundry memory provider Propagate allow_preview when FoundryMemoryProvider constructs an AIProjectClient and update tests accordingly. Also finish wiring allow_preview through AzureAIClient-facing surfaces and related docs. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../azure-ai/agent_framework_azure_ai/_client.py | 6 ++++-- .../_foundry_memory_provider.py | 15 ++++++++++----- .../tests/test_foundry_memory_provider.py | 2 ++ .../agent_framework/azure/_responses_client.py | 3 +-- 4 files changed, 17 insertions(+), 9 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 2ad07f6a09..ba5dd8aad7 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -144,8 +144,7 @@ def __init__( AsyncTokenCredential, or a callable token provider. use_latest_version: Boolean flag that indicates whether to use latest agent version if it exists in the service. - allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` - when supported by the installed ``azure-ai-projects`` version. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient``. env_file_path: Path to environment file for loading settings. env_file_encoding: Encoding of the environment file. kwargs: Additional keyword arguments passed to the parent class. @@ -1243,6 +1242,7 @@ def __init__( model_deployment_name: str | None = None, credential: AzureCredentialTypes | None = None, use_latest_version: bool | None = None, + allow_preview: bool | None = None, middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None, function_invocation_configuration: FunctionInvocationConfiguration | None = None, env_file_path: str | None = None, @@ -1267,6 +1267,7 @@ def __init__( or AsyncTokenCredential. use_latest_version: Boolean flag that indicates whether to use latest agent version if it exists in the service. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` middleware: Optional sequence of chat middlewares to include. function_invocation_configuration: Optional function invocation configuration. env_file_path: Path to environment file for loading settings. @@ -1317,6 +1318,7 @@ class MyOptions(ChatOptions, total=False): model_deployment_name=model_deployment_name, credential=credential, use_latest_version=use_latest_version, + allow_preview=allow_preview, middleware=middleware, function_invocation_configuration=function_invocation_configuration, env_file_path=env_file_path, diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py index 08c2280146..fe5ab47ac5 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py @@ -59,6 +59,7 @@ def __init__( project_client: AIProjectClient | None = None, project_endpoint: str | None = None, credential: AzureCredentialTypes | None = None, + allow_preview: bool | None = None, memory_store_name: str, scope: str | None = None, context_prompt: str | None = None, @@ -75,6 +76,7 @@ def __init__( credential: Azure credential for authentication. Accepts a TokenCredential, AsyncTokenCredential, or a callable token provider. Required when project_client is not provided. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient``. memory_store_name: The name of the memory store to use. scope: The namespace that logically groups and isolates memories (e.g., user ID). If None, `session_id` will be used. @@ -101,11 +103,14 @@ def __init__( ) if not credential: raise ValueError("Azure credential is required when project_client is not provided.") - project_client = AIProjectClient( - endpoint=resolved_endpoint, - credential=credential, # type: ignore[arg-type] - user_agent=AGENT_FRAMEWORK_USER_AGENT, - ) + project_client_kwargs: dict[str, Any] = { + "endpoint": resolved_endpoint, + "credential": credential, # type: ignore[arg-type] + "user_agent": AGENT_FRAMEWORK_USER_AGENT, + } + if allow_preview is not None: + project_client_kwargs["allow_preview"] = allow_preview + project_client = AIProjectClient(**project_client_kwargs) if not memory_store_name: raise ValueError("memory_store_name is required") diff --git a/python/packages/azure-ai/tests/test_foundry_memory_provider.py b/python/packages/azure-ai/tests/test_foundry_memory_provider.py index 943a528968..9788ee25e8 100644 --- a/python/packages/azure-ai/tests/test_foundry_memory_provider.py +++ b/python/packages/azure-ai/tests/test_foundry_memory_provider.py @@ -86,6 +86,7 @@ def test_init_with_project_endpoint_and_credential( provider = FoundryMemoryProvider( project_endpoint="https://test.project.endpoint", credential=mock_credential, # type: ignore[arg-type] + allow_preview=True, memory_store_name="test_store", scope="user_123", ) @@ -93,6 +94,7 @@ def test_init_with_project_endpoint_and_credential( mock_ai_project_client.assert_called_once_with( endpoint="https://test.project.endpoint", credential=mock_credential, + allow_preview=True, user_agent=AGENT_FRAMEWORK_USER_AGENT, ) diff --git a/python/packages/core/agent_framework/azure/_responses_client.py b/python/packages/core/agent_framework/azure/_responses_client.py index ab397d2192..6fd6a447bc 100644 --- a/python/packages/core/agent_framework/azure/_responses_client.py +++ b/python/packages/core/agent_framework/azure/_responses_client.py @@ -121,8 +121,7 @@ def __init__( project_endpoint: The Azure AI Foundry project endpoint URL. When provided with ``credential``, an ``AIProjectClient`` will be created and used to obtain the OpenAI client. Requires the ``azure-ai-projects`` package. - allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` - when supported by the installed ``azure-ai-projects`` version. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient``. env_file_path: Use the environment settings file as a fallback to using env vars. env_file_encoding: The encoding of the environment settings file, defaults to 'utf-8'. instruction_role: The role to use for 'instruction' messages, for example, summarization From 2a221b1a2e13a37dc22f46d38e73466682dc30dd Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Sat, 7 Mar 2026 13:47:24 +0100 Subject: [PATCH 7/8] aligning docstrings --- .../_project_provider.py | 3 +-- .../agent_framework/azure/_responses_client.py | 17 +---------------- 2 files changed, 2 insertions(+), 18 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py index d0d0528107..82e6a1d5b7 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py @@ -118,8 +118,7 @@ def __init__( credential: Azure credential for authentication. Accepts a TokenCredential, AsyncTokenCredential, or a callable token provider. Required when project_client is not provided. - allow_preview: Enables preview opt-in on internally-created ``AIProjectClient`` - when supported by the installed ``azure-ai-projects`` version. + allow_preview: Enables preview opt-in on internally-created ``AIProjectClient``. env_file_path: Path to environment file for loading settings. env_file_encoding: Encoding of the environment file. diff --git a/python/packages/core/agent_framework/azure/_responses_client.py b/python/packages/core/agent_framework/azure/_responses_client.py index 6fd6a447bc..192576bd04 100644 --- a/python/packages/core/agent_framework/azure/_responses_client.py +++ b/python/packages/core/agent_framework/azure/_responses_client.py @@ -251,22 +251,7 @@ def _create_client_from_project( credential: AzureCredentialTypes | AzureTokenProvider | None, allow_preview: bool | None = None, ) -> AsyncOpenAI: - """Create an AsyncOpenAI client from an Azure AI Foundry project. - - Args: - project_client: An existing AIProjectClient to use. - project_endpoint: The Azure AI Foundry project endpoint URL. - credential: Azure credential for authentication. - allow_preview: Enables preview opt-in when constructing an ``AIProjectClient`` - and supported by the installed ``azure-ai-projects`` version. - - Returns: - An AsyncAzureOpenAI client obtained from the project client. - - Raises: - ValueError: If required parameters are missing or - the azure-ai-projects package is not installed. - """ + """Create an AsyncOpenAI client from an Azure AI Foundry project.""" if project_client is not None: return project_client.get_openai_client() From f5826db9bfacb34cfb598576f940c974f7bc4eb3 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Mon, 9 Mar 2026 11:02:36 +0100 Subject: [PATCH 8/8] udpated lock --- python/uv.lock | 288 ++++++++++++++++++++++++------------------------- 1 file changed, 144 insertions(+), 144 deletions(-) diff --git a/python/uv.lock b/python/uv.lock index c0c5af5d87..e82f8e7a3c 100644 --- 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