Python: [BREAKING] Remove deprecated kwargs compatibility paths (#4858)

* [BREAKING] Remove deprecated kwargs compatibility paths

Remove the deprecated kwargs compatibility shims across core agents, clients, tools, middleware, and telemetry.

Keep workflow kwargs behavior intact in this branch and follow up separately in #4850.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix PR CI fallout for kwargs removal

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updates

* Fix Azure AI CI fallout

Remove the stale _get_current_conversation_id override from the Azure AI client after the OpenAI base helper was deleted.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fixed new classes

* Fix Assistants deprecated import gating

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix integration replay regressions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Switch multi-agent hosting samples to Azure chat completions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Simplify Azure multi-agent sample config

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Eduard van Valkenburg
2026-03-27 22:00:12 +01:00
committed by GitHub
Unverified
parent ca6cdd142e
commit b1b528e4a8
52 changed files with 1136 additions and 971 deletions
@@ -17,7 +17,7 @@ else:
from ._assistant_provider import OpenAIAssistantProvider
from ._assistants_client import (
AssistantToolResources,
OpenAIAssistantsClient,
OpenAIAssistantsClient, # type: ignore[reportDeprecated]
OpenAIAssistantsOptions,
)
from ._chat_client import (
@@ -15,7 +15,7 @@ from openai import AsyncOpenAI
from openai.types.beta.assistant import Assistant
from pydantic import BaseModel
from ._assistants_client import OpenAIAssistantsClient
from ._assistants_client import OpenAIAssistantsClient # type: ignore[reportDeprecated]
from ._shared import OpenAISettings, from_assistant_tools, to_assistant_tools
if TYPE_CHECKING:
@@ -538,7 +538,7 @@ class OpenAIAssistantProvider(Generic[OptionsCoT]):
A configured Agent instance.
"""
# Create the chat client with the assistant
client = OpenAIAssistantsClient(
client = OpenAIAssistantsClient( # type: ignore[reportDeprecated]
model=assistant.model,
assistant_id=assistant.id,
assistant_name=assistant.name,
@@ -70,6 +70,11 @@ if sys.version_info >= (3, 12):
else:
from typing_extensions import override # type: ignore # pragma: no cover
if sys.version_info >= (3, 13):
from warnings import deprecated # type: ignore # pragma: no cover
else:
from typing_extensions import deprecated # type: ignore # pragma: no cover
if sys.version_info >= (3, 11):
from typing import Self, TypedDict # type: ignore # pragma: no cover
else:
@@ -208,6 +213,7 @@ OpenAIAssistantsOptionsT = TypeVar(
# endregion
@deprecated("OpenAIAssistantsClient is deprecated. Use OpenAIChatClient instead.")
class OpenAIAssistantsClient( # type: ignore[misc]
OpenAIConfigMixin,
FunctionInvocationLayer[OpenAIAssistantsOptionsT],
@@ -216,7 +222,11 @@ class OpenAIAssistantsClient( # type: ignore[misc]
BaseChatClient[OpenAIAssistantsOptionsT],
Generic[OpenAIAssistantsOptionsT],
):
"""OpenAI Assistants client with middleware, telemetry, and function invocation support."""
"""OpenAI Assistants client with middleware, telemetry, and function invocation support.
.. deprecated::
OpenAIAssistantsClient is deprecated. Use :class:`OpenAIChatClient` instead.
"""
# region Hosted Tool Factory Methods
@@ -29,6 +29,7 @@ from typing import (
)
from agent_framework._clients import BaseChatClient
from agent_framework._compaction import CompactionStrategy, TokenizerProtocol
from agent_framework._middleware import ChatAndFunctionMiddlewareTypes, ChatMiddlewareLayer
from agent_framework._settings import SecretString
from agent_framework._telemetry import USER_AGENT_KEY
@@ -278,6 +279,9 @@ class RawOpenAIChatClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
instruction_role: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
@@ -295,6 +299,9 @@ class RawOpenAIChatClient( # type: ignore[misc]
default_headers: Additional HTTP headers.
async_client: Pre-configured OpenAI client.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before the process environment
for ``OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
@@ -314,6 +321,9 @@ class RawOpenAIChatClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncAzureOpenAI | AsyncOpenAI | None = None,
instruction_role: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
@@ -338,6 +348,9 @@ class RawOpenAIChatClient( # type: ignore[misc]
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI and bypasses env lookup.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables for ``AZURE_OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
@@ -358,9 +371,11 @@ class RawOpenAIChatClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
instruction_role: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
**kwargs: Any,
) -> None:
"""Initialize a raw OpenAI Chat client.
@@ -391,11 +406,13 @@ class RawOpenAIChatClient( # type: ignore[misc]
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI and bypasses env lookup.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables. The same file is used for both ``OPENAI_*`` and ``AZURE_OPENAI_*``
lookups.
env_file_encoding: Encoding for the ``.env`` file.
kwargs: Additional keyword arguments forwarded to ``BaseChatClient``.
Notes:
Environment resolution and routing precedence are:
@@ -452,7 +469,11 @@ class RawOpenAIChatClient( # type: ignore[misc]
if use_azure_client:
self.OTEL_PROVIDER_NAME = "azure.ai.openai" # type: ignore[misc]
super().__init__(**kwargs)
super().__init__(
compaction_strategy=compaction_strategy,
tokenizer=tokenizer,
additional_properties=additional_properties,
)
# region Inner Methods
@@ -460,7 +481,6 @@ class RawOpenAIChatClient( # type: ignore[misc]
self,
messages: Sequence[Message],
options: Mapping[str, Any],
**kwargs: Any,
) -> tuple[AsyncOpenAI, dict[str, Any], dict[str, Any]]:
"""Validate options and prepare the request.
@@ -469,7 +489,7 @@ class RawOpenAIChatClient( # type: ignore[misc]
"""
client = self.client
validated_options = await self._validate_options(options)
run_options = await self._prepare_options(messages, validated_options, **kwargs)
run_options = await self._prepare_options(messages, validated_options)
return client, run_options, validated_options
def _handle_request_error(self, ex: Exception) -> NoReturn:
@@ -526,7 +546,7 @@ class RawOpenAIChatClient( # type: ignore[misc]
client,
run_options,
validated_options,
) = await self._prepare_request(messages, options, **kwargs)
) = await self._prepare_request(messages, options)
try:
if "text_format" in run_options:
async with client.responses.stream(**run_options) as response:
@@ -560,7 +580,7 @@ class RawOpenAIChatClient( # type: ignore[misc]
except Exception as ex:
self._handle_request_error(ex)
return self._parse_response_from_openai(response, options=validated_options)
client, run_options, validated_options = await self._prepare_request(messages, options, **kwargs)
client, run_options, validated_options = await self._prepare_request(messages, options)
try:
if "text_format" in run_options:
response = await client.responses.parse(stream=False, **run_options)
@@ -1121,7 +1141,6 @@ class RawOpenAIChatClient( # type: ignore[misc]
self,
messages: Sequence[Message],
options: Mapping[str, Any],
**kwargs: Any,
) -> dict[str, Any]:
"""Take options dict and create the specific options for Responses API."""
# Exclude keys that are not supported or handled separately
@@ -1143,7 +1162,7 @@ class RawOpenAIChatClient( # type: ignore[misc]
# messages
# Handle instructions by prepending to messages as system message
# Only prepend instructions for the first turn (when no conversation/response ID exists)
conversation_id = self._get_current_conversation_id(options, **kwargs)
conversation_id = options.get("conversation_id")
if (instructions := options.get("instructions")) and not conversation_id:
# First turn: prepend instructions as system message
messages = prepend_instructions_to_messages(list(messages), instructions, role="system")
@@ -1151,7 +1170,7 @@ class RawOpenAIChatClient( # type: ignore[misc]
request_input = self._prepare_messages_for_openai(messages)
if not request_input:
raise ChatClientInvalidRequestException("Messages are required for chat completions")
conversation_id = self._get_current_conversation_id(options, **kwargs)
conversation_id = options.get("conversation_id")
run_options["input"] = request_input
# model id
@@ -1169,7 +1188,7 @@ class RawOpenAIChatClient( # type: ignore[misc]
run_options[new_key] = run_options.pop(old_key)
# Handle different conversation ID formats
if conversation_id := self._get_current_conversation_id(options, **kwargs):
if conversation_id := options.get("conversation_id"):
if conversation_id.startswith("resp_"):
# For response IDs, set previous_response_id and remove conversation property
run_options["previous_response_id"] = conversation_id
@@ -1223,14 +1242,6 @@ class RawOpenAIChatClient( # type: ignore[misc]
raise ValueError("model must be a non-empty string")
options["model"] = self.model
def _get_current_conversation_id(self, options: Mapping[str, Any], **kwargs: Any) -> str | None:
"""Get the current conversation ID, preferring kwargs over options.
This ensures runtime-updated conversation IDs (for example, from tool execution
loops) take precedence over the initial configuration provided in options.
"""
return kwargs.get("conversation_id") or options.get("conversation_id")
def _prepare_messages_for_openai(self, chat_messages: Sequence[Message]) -> list[dict[str, Any]]:
"""Prepare the chat messages for a request.
@@ -2490,10 +2501,13 @@ class OpenAIChatClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
instruction_role: str | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
function_invocation_configuration: FunctionInvocationConfiguration | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
"""Initialize an OpenAI Responses client.
@@ -2509,11 +2523,14 @@ class OpenAIChatClient( # type: ignore[misc]
default_headers: Additional HTTP headers.
async_client: Pre-configured OpenAI client.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
middleware: Optional middleware to apply to the client.
function_invocation_configuration: Optional function invocation configuration override.
additional_properties: Optional additional properties to include on all requests.
env_file_path: Optional ``.env`` file that is checked before the process environment
for ``OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
middleware: Optional middleware to apply to the client.
function_invocation_configuration: Optional function invocation configuration override.
"""
...
@@ -2530,10 +2547,13 @@ class OpenAIChatClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncAzureOpenAI | AsyncOpenAI | None = None,
instruction_role: str | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
function_invocation_configuration: FunctionInvocationConfiguration | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
"""Initialize an OpenAI Responses client.
@@ -2556,11 +2576,14 @@ class OpenAIChatClient( # type: ignore[misc]
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI and bypasses env lookup.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
middleware: Optional middleware to apply to the client.
function_invocation_configuration: Optional function invocation configuration override.
additional_properties: Optional additional properties to include on all requests.
env_file_path: Optional ``.env`` file that is checked before process environment
variables for ``AZURE_OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
middleware: Optional middleware to apply to the client.
function_invocation_configuration: Optional function invocation configuration override.
"""
...
@@ -2577,11 +2600,13 @@ class OpenAIChatClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
instruction_role: str | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
function_invocation_configuration: FunctionInvocationConfiguration | None = None,
**kwargs: Any,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
"""Initialize an OpenAI Responses client.
@@ -2611,13 +2636,15 @@ class OpenAIChatClient( # type: ignore[misc]
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI and bypasses env lookup.
instruction_role: Role to use for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
middleware: Optional middleware to apply to the client.
function_invocation_configuration: Optional function invocation configuration override.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables. The same file is used for both ``OPENAI_*`` and ``AZURE_OPENAI_*``
lookups.
env_file_encoding: Encoding for the ``.env`` file.
middleware: Optional middleware to apply to the client.
function_invocation_configuration: Optional function invocation configuration override.
kwargs: Other keyword parameters.
Notes:
Environment resolution and routing precedence are:
@@ -2675,7 +2702,9 @@ class OpenAIChatClient( # type: ignore[misc]
env_file_encoding=env_file_encoding,
middleware=middleware,
function_invocation_configuration=function_invocation_configuration,
**kwargs,
compaction_strategy=compaction_strategy,
tokenizer=tokenizer,
additional_properties=additional_properties,
)
@@ -18,6 +18,7 @@ from itertools import chain
from typing import TYPE_CHECKING, Any, ClassVar, Generic, Literal, cast, overload
from agent_framework._clients import BaseChatClient
from agent_framework._compaction import CompactionStrategy, TokenizerProtocol
from agent_framework._docstrings import apply_layered_docstring
from agent_framework._middleware import ChatAndFunctionMiddlewareTypes, ChatMiddlewareLayer
from agent_framework._settings import SecretString
@@ -193,6 +194,9 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
instruction_role: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
@@ -210,6 +214,9 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
default_headers: Additional HTTP headers.
async_client: Pre-configured OpenAI client.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before the process environment
for ``OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
@@ -229,6 +236,9 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncAzureOpenAI | AsyncOpenAI | None = None,
instruction_role: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
@@ -253,6 +263,9 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI and bypasses env lookup.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables for ``AZURE_OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
@@ -273,9 +286,11 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
instruction_role: str | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
**kwargs: Any,
) -> None:
"""Initialize a raw OpenAI Chat completion client.
@@ -306,11 +321,13 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI and bypasses env lookup.
instruction_role: Role for instruction messages (for example ``"system"``).
compaction_strategy: Optional per-client compaction override.
tokenizer: Optional tokenizer for compaction strategies.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables. The same file is used for both ``OPENAI_*`` and ``AZURE_OPENAI_*``
lookups.
env_file_encoding: Encoding for the ``.env`` file.
kwargs: Additional keyword arguments forwarded to ``BaseChatClient``.
Notes:
Environment resolution and routing precedence are:
@@ -366,7 +383,11 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
if use_azure_client:
self.OTEL_PROVIDER_NAME = "azure.ai.openai" # type: ignore[misc]
super().__init__(**kwargs)
super().__init__(
compaction_strategy=compaction_strategy,
tokenizer=tokenizer,
additional_properties=additional_properties,
)
# region Hosted Tool Factory Methods
@@ -427,7 +448,10 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: Literal[False] = ...,
options: ChatOptions[ResponseModelBoundT],
**kwargs: Any,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
) -> Awaitable[ChatResponse[ResponseModelBoundT]]: ...
@overload
@@ -437,7 +461,10 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: Literal[False] = ...,
options: OpenAIChatCompletionOptionsT | ChatOptions[None] | None = None,
**kwargs: Any,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
) -> Awaitable[ChatResponse[Any]]: ...
@overload
@@ -447,7 +474,10 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: Literal[True],
options: OpenAIChatCompletionOptionsT | ChatOptions[Any] | None = None,
**kwargs: Any,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
) -> ResponseStream[ChatResponseUpdate, ChatResponse[Any]]: ...
@override
@@ -457,7 +487,10 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: bool = False,
options: OpenAIChatCompletionOptionsT | ChatOptions[Any] | None = None,
**kwargs: Any,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
) -> Awaitable[ChatResponse[Any]] | ResponseStream[ChatResponseUpdate, ChatResponse[Any]]:
"""Get a response from the raw OpenAI chat client."""
super_get_response = cast(
@@ -468,7 +501,10 @@ class RawOpenAIChatCompletionClient( # type: ignore[misc]
messages=messages,
stream=stream,
options=options,
**kwargs,
compaction_strategy=compaction_strategy,
tokenizer=tokenizer,
function_invocation_kwargs=function_invocation_kwargs,
client_kwargs=client_kwargs,
)
@override
@@ -1205,10 +1241,11 @@ class OpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: Literal[False] = ...,
options: ChatOptions[ResponseModelBoundT],
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
**kwargs: Any,
) -> Awaitable[ChatResponse[ResponseModelBoundT]]: ...
@overload
@@ -1218,10 +1255,11 @@ class OpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: Literal[False] = ...,
options: OpenAIChatCompletionOptionsT | ChatOptions[None] | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
**kwargs: Any,
) -> Awaitable[ChatResponse[Any]]: ...
@overload
@@ -1231,10 +1269,11 @@ class OpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: Literal[True],
options: OpenAIChatCompletionOptionsT | ChatOptions[Any] | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
**kwargs: Any,
) -> ResponseStream[ChatResponseUpdate, ChatResponse[Any]]: ...
@override
@@ -1244,10 +1283,11 @@ class OpenAIChatCompletionClient( # type: ignore[misc]
*,
stream: bool = False,
options: OpenAIChatCompletionOptionsT | ChatOptions[Any] | None = None,
compaction_strategy: CompactionStrategy | None = None,
tokenizer: TokenizerProtocol | None = None,
function_invocation_kwargs: Mapping[str, Any] | None = None,
client_kwargs: Mapping[str, Any] | None = None,
middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
**kwargs: Any,
) -> Awaitable[ChatResponse[Any]] | ResponseStream[ChatResponseUpdate, ChatResponse[Any]]:
"""Get a response from the OpenAI chat client with all standard layers enabled."""
super_get_response = cast(
@@ -1261,9 +1301,10 @@ class OpenAIChatCompletionClient( # type: ignore[misc]
messages=messages,
stream=stream,
options=options,
compaction_strategy=compaction_strategy,
tokenizer=tokenizer,
function_invocation_kwargs=function_invocation_kwargs,
client_kwargs=effective_client_kwargs,
**kwargs,
)
@@ -79,6 +79,7 @@ class RawOpenAIEmbeddingClient(
base_url: str | None = None,
default_headers: Mapping[str, str] | None = None,
async_client: AsyncOpenAI | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
@@ -95,6 +96,7 @@ class RawOpenAIEmbeddingClient(
``OPENAI_BASE_URL``.
default_headers: Additional HTTP headers.
async_client: Pre-configured OpenAI client.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before the process environment
for ``OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
@@ -113,6 +115,7 @@ class RawOpenAIEmbeddingClient(
base_url: str | None = None,
default_headers: Mapping[str, str] | None = None,
async_client: AsyncAzureOpenAI | AsyncOpenAI | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
) -> None:
@@ -136,6 +139,7 @@ class RawOpenAIEmbeddingClient(
default_headers: Additional HTTP headers.
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables for ``AZURE_OPENAI_*`` values.
env_file_encoding: Encoding for the ``.env`` file.
@@ -155,9 +159,9 @@ class RawOpenAIEmbeddingClient(
api_version: str | None = None,
default_headers: Mapping[str, str] | None = None,
async_client: AsyncAzureOpenAI | AsyncOpenAI | None = None,
additional_properties: dict[str, Any] | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
**kwargs: Any,
) -> None:
"""Initialize a raw OpenAI embedding client.
@@ -187,11 +191,11 @@ class RawOpenAIEmbeddingClient(
default_headers: Additional HTTP headers.
async_client: Pre-configured client. Passing ``AsyncAzureOpenAI`` keeps the client on
Azure; passing ``AsyncOpenAI`` keeps the client on OpenAI.
additional_properties: Additional properties stored on the client instance.
env_file_path: Optional ``.env`` file that is checked before process environment
variables. The same file is used for both ``OPENAI_*`` and ``AZURE_OPENAI_*``
lookups.
env_file_encoding: Encoding for the ``.env`` file.
kwargs: Additional keyword arguments forwarded to ``BaseEmbeddingClient``.
Notes:
Environment resolution precedence is:
@@ -247,7 +251,7 @@ class RawOpenAIEmbeddingClient(
if use_azure_client:
self.OTEL_PROVIDER_NAME = "azure.ai.openai" # type: ignore[misc]
super().__init__(**kwargs)
super().__init__(additional_properties=additional_properties)
def service_url(self) -> str:
"""Get the URL of the service."""
@@ -1,5 +1,6 @@
# Copyright (c) Microsoft. All rights reserved.
import inspect
import json
import logging
from typing import Annotated, Any
@@ -11,6 +12,11 @@ from agent_framework import (
Content,
Message,
SupportsChatGetResponse,
SupportsCodeInterpreterTool,
SupportsFileSearchTool,
SupportsImageGenerationTool,
SupportsMCPTool,
SupportsWebSearchTool,
tool,
)
from openai.types.beta.threads import (
@@ -30,6 +36,8 @@ from pydantic import Field
from agent_framework_openai import OpenAIAssistantsClient
pytestmark = pytest.mark.filterwarnings("ignore:OpenAIAssistantsClient is deprecated\\..*:DeprecationWarning")
def create_test_openai_assistants_client(
mock_async_openai: MagicMock,
@@ -104,6 +112,25 @@ def mock_async_openai() -> MagicMock:
return mock_client
def test_openai_assistants_client_is_deprecated(mock_async_openai: MagicMock) -> None:
with pytest.warns(DeprecationWarning, match="OpenAIAssistantsClient is deprecated. Use OpenAIChatClient instead."):
OpenAIAssistantsClient(model="gpt-4", api_key="test-api-key", async_client=mock_async_openai)
def test_openai_assistants_client_init_keeps_var_keyword() -> None:
signature = inspect.signature(OpenAIAssistantsClient.__init__)
assert any(parameter.kind == inspect.Parameter.VAR_KEYWORD for parameter in signature.parameters.values())
def test_openai_assistants_client_supports_code_interpreter_and_file_search() -> None:
assert isinstance(OpenAIAssistantsClient, SupportsCodeInterpreterTool)
assert not isinstance(OpenAIAssistantsClient, SupportsWebSearchTool)
assert not isinstance(OpenAIAssistantsClient, SupportsImageGenerationTool)
assert not isinstance(OpenAIAssistantsClient, SupportsMCPTool)
assert isinstance(OpenAIAssistantsClient, SupportsFileSearchTool)
def test_init_with_client(mock_async_openai: MagicMock) -> None:
"""Test OpenAIAssistantsClient initialization with existing client."""
client = create_test_openai_assistants_client(
@@ -1,6 +1,7 @@
# Copyright (c) Microsoft. All rights reserved.
import base64
import inspect
import json
import os
from datetime import datetime, timezone
@@ -18,6 +19,11 @@ from agent_framework import (
FunctionTool,
Message,
SupportsChatGetResponse,
SupportsCodeInterpreterTool,
SupportsFileSearchTool,
SupportsImageGenerationTool,
SupportsMCPTool,
SupportsWebSearchTool,
tool,
)
from agent_framework._sessions import (
@@ -48,7 +54,7 @@ from openai.types.responses.response_text_delta_event import ResponseTextDeltaEv
from pydantic import BaseModel
from pytest import param
from agent_framework_openai import OpenAIChatClient
from agent_framework_openai import OpenAIChatClient, OpenAIResponsesClient
from agent_framework_openai._chat_client import OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY
from agent_framework_openai._exceptions import OpenAIContentFilterException
@@ -110,6 +116,40 @@ def test_init(openai_unit_test_env: dict[str, str]) -> None:
assert isinstance(openai_responses_client, SupportsChatGetResponse)
def test_init_uses_explicit_parameters() -> None:
signature = inspect.signature(OpenAIChatClient.__init__)
assert "additional_properties" in signature.parameters
assert "compaction_strategy" in signature.parameters
assert "tokenizer" in signature.parameters
assert all(parameter.kind != inspect.Parameter.VAR_KEYWORD for parameter in signature.parameters.values())
def test_deprecated_responses_client_supports_all_tool_protocols() -> None:
assert isinstance(OpenAIResponsesClient, SupportsCodeInterpreterTool)
assert isinstance(OpenAIResponsesClient, SupportsWebSearchTool)
assert isinstance(OpenAIResponsesClient, SupportsImageGenerationTool)
assert isinstance(OpenAIResponsesClient, SupportsMCPTool)
assert isinstance(OpenAIResponsesClient, SupportsFileSearchTool)
def test_protocol_isinstance_with_responses_client_instance() -> None:
client = object.__new__(OpenAIResponsesClient)
assert isinstance(client, SupportsCodeInterpreterTool)
assert isinstance(client, SupportsWebSearchTool)
def test_deprecated_responses_client_tool_methods_return_dict() -> None:
code_tool = OpenAIResponsesClient.get_code_interpreter_tool()
assert isinstance(code_tool, dict)
assert code_tool.get("type") == "code_interpreter"
web_tool = OpenAIResponsesClient.get_web_search_tool()
assert isinstance(web_tool, dict)
assert web_tool.get("type") == "web_search"
def test_init_prefers_openai_responses_model(monkeypatch, openai_unit_test_env: dict[str, str]) -> None:
monkeypatch.setenv("OPENAI_RESPONSES_MODEL", "test_responses_model_id")
@@ -3033,20 +3073,6 @@ async def test_prepare_options_store_parameter_handling() -> None:
assert "previous_response_id" not in options
async def test_conversation_id_precedence_kwargs_over_options() -> None:
"""When both kwargs and options contain conversation_id, kwargs wins."""
client = OpenAIChatClient(model="test-model", api_key="test-key")
messages = [Message(role="user", text="Hello")]
# options has a stale response id, kwargs carries the freshest one
opts = {"conversation_id": "resp_old_123"}
run_opts = await client._prepare_options(messages, opts, conversation_id="resp_new_456") # type: ignore
# Verify kwargs takes precedence and maps to previous_response_id for resp_* IDs
assert run_opts.get("previous_response_id") == "resp_new_456"
assert "conversation" not in run_opts
def _create_mock_responses_text_response(*, response_id: str) -> MagicMock:
mock_response = MagicMock()
mock_response.id = response_id
@@ -465,7 +465,7 @@ async def test_integration_client_agent_existing_session() -> None:
first_response = await first_agent.run(
"My hobby is photography. Remember this.",
session=session,
store=True,
options={"store": True},
)
assert isinstance(first_response, AgentResponse)
@@ -476,7 +476,9 @@ async def test_integration_client_agent_existing_session() -> None:
client=OpenAIChatClient(credential=credential),
instructions="You are a helpful assistant with good memory.",
) as second_agent:
second_response = await second_agent.run("What is my hobby?", session=preserved_session)
second_response = await second_agent.run(
"What is my hobby?", session=preserved_session, options={"store": True}
)
assert isinstance(second_response, AgentResponse)
assert second_response.text is not None
@@ -1,5 +1,6 @@
# Copyright (c) Microsoft. All rights reserved.
import inspect
import json
import os
from typing import Any
@@ -11,6 +12,11 @@ from agent_framework import (
Content,
Message,
SupportsChatGetResponse,
SupportsCodeInterpreterTool,
SupportsFileSearchTool,
SupportsImageGenerationTool,
SupportsMCPTool,
SupportsWebSearchTool,
tool,
)
from agent_framework.exceptions import ChatClientException, SettingNotFoundError
@@ -20,7 +26,7 @@ from openai.types.chat.chat_completion_message import ChatCompletionMessage
from pydantic import BaseModel
from pytest import param
from agent_framework_openai import OpenAIChatCompletionClient
from agent_framework_openai import OpenAIChatCompletionClient, RawOpenAIChatCompletionClient
from agent_framework_openai._exceptions import OpenAIContentFilterException
skip_if_openai_integration_tests_disabled = pytest.mark.skipif(
@@ -37,6 +43,41 @@ def test_init(openai_unit_test_env: dict[str, str]) -> None:
assert isinstance(open_ai_chat_completion, SupportsChatGetResponse)
def test_get_response_docstring_surfaces_layered_runtime_docs() -> None:
docstring = inspect.getdoc(OpenAIChatCompletionClient.get_response)
assert docstring is not None
assert "Get a response from a chat client." in docstring
assert "function_invocation_kwargs" in docstring
assert "middleware: Optional per-call chat and function middleware." in docstring
assert "function_middleware: Optional per-call function middleware." not in docstring
def test_get_response_is_defined_on_openai_class() -> None:
signature = inspect.signature(OpenAIChatCompletionClient.get_response)
assert OpenAIChatCompletionClient.get_response.__qualname__ == "OpenAIChatCompletionClient.get_response"
assert "middleware" in signature.parameters
assert all(parameter.kind != inspect.Parameter.VAR_KEYWORD for parameter in signature.parameters.values())
def test_init_uses_explicit_parameters() -> None:
signature = inspect.signature(RawOpenAIChatCompletionClient.__init__)
assert "additional_properties" in signature.parameters
assert "compaction_strategy" in signature.parameters
assert "tokenizer" in signature.parameters
assert all(parameter.kind != inspect.Parameter.VAR_KEYWORD for parameter in signature.parameters.values())
def test_supports_web_search_only() -> None:
assert not isinstance(OpenAIChatCompletionClient, SupportsCodeInterpreterTool)
assert isinstance(OpenAIChatCompletionClient, SupportsWebSearchTool)
assert not isinstance(OpenAIChatCompletionClient, SupportsImageGenerationTool)
assert not isinstance(OpenAIChatCompletionClient, SupportsMCPTool)
assert not isinstance(OpenAIChatCompletionClient, SupportsFileSearchTool)
def test_init_prefers_openai_chat_model(monkeypatch, openai_unit_test_env: dict[str, str]) -> None:
monkeypatch.setenv("OPENAI_CHAT_MODEL", "test_chat_model_id")
@@ -138,7 +138,7 @@ async def test_cmc_structured_output_no_fcc(
openai_chat_completion = OpenAIChatCompletionClient()
await openai_chat_completion.get_response(
messages=chat_history,
response_format=Test,
options={"response_format": Test},
)
mock_create.assert_awaited_once()
@@ -322,7 +322,7 @@ async def test_get_streaming_structured_output_no_fcc(
async for msg in openai_chat_completion.get_response(
stream=True,
messages=chat_history,
response_format=Test,
options={"response_format": Test},
):
assert isinstance(msg, ChatResponseUpdate)
mock_create.assert_awaited_once()
@@ -2,6 +2,7 @@
from __future__ import annotations
import inspect
import os
from unittest.mock import AsyncMock, MagicMock
@@ -15,6 +16,7 @@ from agent_framework_openai import (
OpenAIEmbeddingClient,
OpenAIEmbeddingOptions,
)
from agent_framework_openai._embedding_client import RawOpenAIEmbeddingClient
def _make_openai_response(
@@ -44,6 +46,13 @@ def test_openai_construction_with_explicit_params() -> None:
assert client.model == "text-embedding-3-small"
def test_raw_openai_embedding_client_init_uses_explicit_parameters() -> None:
signature = inspect.signature(RawOpenAIEmbeddingClient.__init__)
assert "additional_properties" in signature.parameters
assert all(parameter.kind != inspect.Parameter.VAR_KEYWORD for parameter in signature.parameters.values())
def test_openai_construction_from_env(openai_unit_test_env: dict[str, str]) -> None:
client = OpenAIEmbeddingClient()
assert client.model == openai_unit_test_env["OPENAI_EMBEDDING_MODEL"]