Azure AI Inference SDK - Beta 2 updates (#36163)

The main reason for this release, shortly after the first release:
- Add strongly-typed `model` as an optional input argument to the `complete` method of `ChatCompletionsClient`. This is required for a high-visiblity project. For this project, developers must set `model`.

Breaking change (noted in CHANGELOG.md):
- The field `input_tokens` was removed from class `EmbeddingsUsage`, as this was never defined in the
REST API and the service never returned this value.

Other changes in this release:
- Addressing some test dept (work in progress)
  - Add tests for setting `model_extras` for sync and async clients. Make sure the additional parameters appear at the root of the JSON request payload, and make sure the `unknown_parameters` HTTP request header was set to `pass_through`.
  - Add tests to validate serialization of a dummy chat completion request that includes all type of input objects. This is a regression test (no service response needed), as the test looks at the JSON request payload and compared to a hard-coded expected string, that was previously verified by hand. This test includes the new `model` argument, as well as all other arguments defined by the REST API. It will catch any regressions in hand-written code.
- Update ref docs to remove mentioning of the old `extras` input argument to chat completions in hand-written code. The name was changed to `model_extras` before the first release, but looks like we still had some left-over ref-doc comments that describe the no-longer-existing argument.
- Remove unused function from the sample `sample_chat_completions_with_image_data.py`. Forgot to do that in the first release.
- Minor changes to root README.md
- Indicate that `complete` method with `stream=True` returns `Iterable[StreamingChatCompletionsUpdate]` for
the synchronous `ChatComletionsClient`, and `Iterable[StreamingChatCompletionsUpdate]` for the asynchronous
`ChatCompletionsClient`. Per feedback from Anna T.
- Update environment variable names used by sample code and test to start with "AZURE_AI" as common elsewhere, per feedback from Rob C.

sdk/ai/azure-ai-inference/CHANGELOG.md

@@ -1,14 +1,15 @@
 # Release History
 
-## 1.0.0b2 (Unreleased)
+## 1.0.0b2 (2024-06-24)
 
 ### Features Added
 
-### Breaking Changes
+Add `model` as an optional input argument to the `complete` method of `ChatCompletionsClient`.
 
-### Bugs Fixed
+### Breaking Changes
 
-### Other Changes
+The field `input_tokens` was removed from class `EmbeddingsUsage`, as this was never defined in the
+REST API and the service never returned this value.
 
 ## 1.0.0b1 (2024-06-11)
 

sdk/ai/azure-ai-inference/README.md

@@ -123,7 +123,7 @@ To load an asynchronous client, import the `load_client` function from `azure.ai
 
 Entra ID authentication is also supported by the `load_client` function. Replace the key authentication above with `credential=DefaultAzureCredential()` for example.
 
-### Getting AI model information
+### Get AI model information
 
 All clients provide a `get_model_info` method to retrive AI model information. This makes a REST call to the `/info` route on the provided endpoint, as documented in [the REST API reference](https://learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-info).
 

sdk/ai/azure-ai-inference/azure/ai/inference/_client.py

@@ -8,6 +8,7 @@
 
 from copy import deepcopy
 from typing import Any, TYPE_CHECKING, Union
+from typing_extensions import Self
 
 from azure.core import PipelineClient
 from azure.core.credentials import AzureKeyCredential
@@ -101,7 +102,7 @@ def send_request(self, request: HttpRequest, *, stream: bool = False, **kwargs:
     def close(self) -> None:
         self._client.close()
 
-    def __enter__(self) -> "ChatCompletionsClient":
+    def __enter__(self) -> Self:
         self._client.__enter__()
         return self
 
@@ -179,7 +180,7 @@ def send_request(self, request: HttpRequest, *, stream: bool = False, **kwargs:
     def close(self) -> None:
         self._client.close()
 
-    def __enter__(self) -> "EmbeddingsClient":
+    def __enter__(self) -> Self:
         self._client.__enter__()
         return self
 
@@ -257,7 +258,7 @@ def send_request(self, request: HttpRequest, *, stream: bool = False, **kwargs:
     def close(self) -> None:
         self._client.close()
 
-    def __enter__(self) -> "ImageEmbeddingsClient":
+    def __enter__(self) -> Self:
         self._client.__enter__()
         return self
 

sdk/ai/azure-ai-inference/azure/ai/inference/_model_base.py

@@ -883,5 +883,6 @@ def rest_discriminator(
     *,
     name: typing.Optional[str] = None,
     type: typing.Optional[typing.Callable] = None,  # pylint: disable=redefined-builtin
+    visibility: typing.Optional[typing.List[str]] = None,
 ) -> typing.Any:
-    return _RestField(name=name, type=type, is_discriminator=True)
+    return _RestField(name=name, type=type, is_discriminator=True, visibility=visibility)

sdk/ai/azure-ai-inference/azure/ai/inference/_operations/_operations.py

@@ -208,6 +208,7 @@ def _complete(
             Union[str, _models.ChatCompletionsToolSelectionPreset, _models.ChatCompletionsNamedToolSelection]
         ] = None,
         seed: Optional[int] = None,
+        model: Optional[str] = None,
         **kwargs: Any
     ) -> _models.ChatCompletions: ...
     @overload
@@ -240,6 +241,7 @@ def _complete(
             Union[str, _models.ChatCompletionsToolSelectionPreset, _models.ChatCompletionsNamedToolSelection]
         ] = None,
         seed: Optional[int] = None,
+        model: Optional[str] = None,
         **kwargs: Any
     ) -> _models.ChatCompletions:
         # pylint: disable=line-too-long
@@ -317,9 +319,12 @@ def _complete(
          ~azure.ai.inference.models.ChatCompletionsNamedToolSelection
         :keyword seed: If specified, the system will make a best effort to sample deterministically
          such that repeated requests with the
-         same seed and parameters should return the same result. Determinism is not guaranteed.".
-         Default value is None.
+         same seed and parameters should return the same result. Determinism is not guaranteed. Default
+         value is None.
         :paramtype seed: int
+        :keyword model: ID of the specific AI model to use, if more than one model is available on the
+         endpoint. Default value is None.
+        :paramtype model: str
         :return: ChatCompletions. The ChatCompletions is compatible with MutableMapping
         :rtype: ~azure.ai.inference.models.ChatCompletions
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -338,6 +343,8 @@ def _complete(
                       frequency increases and decrease the likelihood of the model repeating the same
                       statements verbatim. Supported range is [-2, 2].
                     "max_tokens": 0,  # Optional. The maximum number of tokens to generate.
+                    "model": "str",  # Optional. ID of the specific AI model to use, if more than
+                      one model is available on the endpoint.
                     "presence_penalty": 0.0,  # Optional. A value that influences the probability
                       of generated tokens appearing based on their existing presence in generated text.
                       Positive values will make tokens less likely to appear when they already exist
@@ -348,7 +355,7 @@ def _complete(
                       "json_object".
                     "seed": 0,  # Optional. If specified, the system will make a best effort to
                       sample deterministically such that repeated requests with the same seed and
-                      parameters should return the same result. Determinism is not guaranteed.".
+                      parameters should return the same result. Determinism is not guaranteed.
                     "stop": [
                         "str"  # Optional. A collection of textual sequences that will end
                           completions generation.
@@ -435,6 +442,7 @@ def _complete(
                 "frequency_penalty": frequency_penalty,
                 "max_tokens": max_tokens,
                 "messages": messages,
+                "model": model,
                 "presence_penalty": presence_penalty,
                 "response_format": response_format,
                 "seed": seed,

sdk/ai/azure-ai-inference/azure/ai/inference/_patch.py

@@ -24,7 +24,7 @@
 import sys
 
 from io import IOBase
-from typing import Any, Dict, Union, IO, List, Literal, Optional, overload, Type, TYPE_CHECKING
+from typing import Any, Dict, Union, IO, List, Literal, Optional, overload, Type, TYPE_CHECKING, Iterable
 
 from azure.core.pipeline import PipelineResponse
 from azure.core.credentials import AzureKeyCredential
@@ -75,7 +75,7 @@
 
 def load_client(
     endpoint: str, credential: Union[AzureKeyCredential, "TokenCredential"], **kwargs: Any
-) -> Union[ChatCompletionsClientGenerated, EmbeddingsClientGenerated, ImageEmbeddingsClientGenerated]:
+) -> Union["ChatCompletionsClient", "EmbeddingsClient", "ImageEmbeddingsClient"]:
     """
     Load a client from a given endpoint URL. The method makes a REST API call to the `/info` route
     on the given endpoint, to determine the model type and therefore which client to instantiate.
@@ -90,7 +90,7 @@ def load_client(
      "2024-05-01-preview". Note that overriding this default value may result in unsupported
      behavior.
     :paramtype api_version: str
-    :return: The appropriate client associated with the given endpoint
+    :return: The appropriate synchronous client associated with the given endpoint
     :rtype: ~azure.ai.inference.ChatCompletionsClient or ~azure.ai.inference.EmbeddingsClient
      or ~azure.ai.inference.ImageEmbeddingsClient
     :raises ~azure.core.exceptions.HttpResponseError
@@ -110,7 +110,9 @@ def load_client(
     # TODO: Remove "completions" and "embedding" once Mistral Large and Cohere fixes their model type
     if model_info.model_type in (_models.ModelType.CHAT, "completion"):
         chat_completion_client = ChatCompletionsClient(endpoint, credential, **kwargs)
-        chat_completion_client._model_info = model_info  # pylint: disable=protected-access,attribute-defined-outside-init
+        chat_completion_client._model_info = ( # pylint: disable=protected-access,attribute-defined-outside-init
+            model_info
+        )
         return chat_completion_client
 
     if model_info.model_type in (_models.ModelType.EMBEDDINGS, "embedding"):
@@ -120,7 +122,9 @@ def load_client(
 
     if model_info.model_type == _models.ModelType.IMAGE_EMBEDDINGS:
         image_embedding_client = ImageEmbeddingsClient(endpoint, credential, **kwargs)
-        image_embedding_client._model_info = model_info  # pylint: disable=protected-access,attribute-defined-outside-init
+        image_embedding_client._model_info = (  # pylint: disable=protected-access,attribute-defined-outside-init
+            model_info
+        )
         return image_embedding_client
 
     raise ValueError(f"No client available to support AI model type `{model_info.model_type}`")
@@ -165,6 +169,7 @@ def complete(
             Union[str, _models.ChatCompletionsToolSelectionPreset, _models.ChatCompletionsNamedToolSelection]
         ] = None,
         seed: Optional[int] = None,
+        model: Optional[str] = None,
         **kwargs: Any,
     ) -> _models.ChatCompletions: ...
 
@@ -188,8 +193,9 @@ def complete(
             Union[str, _models.ChatCompletionsToolSelectionPreset, _models.ChatCompletionsNamedToolSelection]
         ] = None,
         seed: Optional[int] = None,
+        model: Optional[str] = None,
         **kwargs: Any,
-    ) -> _models.StreamingChatCompletions: ...
+    ) -> Iterable[_models.StreamingChatCompletionsUpdate]: ...
 
     @overload
     def complete(
@@ -211,8 +217,9 @@ def complete(
             Union[str, _models.ChatCompletionsToolSelectionPreset, _models.ChatCompletionsNamedToolSelection]
         ] = None,
         seed: Optional[int] = None,
+        model: Optional[str] = None,
         **kwargs: Any,
-    ) -> Union[_models.StreamingChatCompletions, _models.ChatCompletions]:
+    ) -> Union[Iterable[_models.StreamingChatCompletionsUpdate], _models.ChatCompletions]:
         # pylint: disable=line-too-long
         """Gets chat completions for the provided chat messages.
         Completions support a wide variety of tasks and generate text that continues from or
@@ -294,10 +301,13 @@ def complete(
          ~azure.ai.inference.models.ChatCompletionsNamedToolSelection
         :keyword seed: If specified, the system will make a best effort to sample deterministically
          such that repeated requests with the
-         same seed and parameters should return the same result. Determinism is not guaranteed.".
+         same seed and parameters should return the same result. Determinism is not guaranteed.
          Default value is None.
         :paramtype seed: int
-        :return: ChatCompletions for non-streaming, or StreamingChatCompletions for streaming.
+        :keyword model: ID of the specific AI model to use, if more than one model is available on the
+         endpoint. Default value is None.
+        :paramtype model: str
+        :return: ChatCompletions for non-streaming, or Iterable[StreamingChatCompletionsUpdate] for streaming.
         :rtype: ~azure.ai.inference.models.ChatCompletions or ~azure.ai.inference.models.StreamingChatCompletions
         :raises ~azure.core.exceptions.HttpResponseError
         """
@@ -309,7 +319,7 @@ def complete(
         *,
         content_type: str = "application/json",
         **kwargs: Any,
-    ) -> Union[_models.StreamingChatCompletions, _models.ChatCompletions]:
+    ) -> Union[Iterable[_models.StreamingChatCompletionsUpdate], _models.ChatCompletions]:
         # pylint: disable=line-too-long
         """Gets chat completions for the provided chat messages.
         Completions support a wide variety of tasks and generate text that continues from or
@@ -321,7 +331,7 @@ def complete(
         :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
          Default value is "application/json".
         :paramtype content_type: str
-        :return: ChatCompletions for non-streaming, or StreamingChatCompletions for streaming.
+        :return: ChatCompletions for non-streaming, or Iterable[StreamingChatCompletionsUpdate] for streaming.
         :rtype: ~azure.ai.inference.models.ChatCompletions or ~azure.ai.inference.models.StreamingChatCompletions
         :raises ~azure.core.exceptions.HttpResponseError
         """
@@ -333,7 +343,7 @@ def complete(
         *,
         content_type: str = "application/json",
         **kwargs: Any,
-    ) -> Union[_models.StreamingChatCompletions, _models.ChatCompletions]:
+    ) -> Union[Iterable[_models.StreamingChatCompletionsUpdate], _models.ChatCompletions]:
         # pylint: disable=line-too-long
         # pylint: disable=too-many-locals
         """Gets chat completions for the provided chat messages.
@@ -345,7 +355,7 @@ def complete(
         :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
          Default value is "application/json".
         :paramtype content_type: str
-        :return: ChatCompletions for non-streaming, or StreamingChatCompletions for streaming.
+        :return: ChatCompletions for non-streaming, or Iterable[StreamingChatCompletionsUpdate] for streaming.
         :rtype: ~azure.ai.inference.models.ChatCompletions or ~azure.ai.inference.models.StreamingChatCompletions
         :raises ~azure.core.exceptions.HttpResponseError
         """
@@ -370,8 +380,9 @@ def complete(
             Union[str, _models.ChatCompletionsToolSelectionPreset, _models.ChatCompletionsNamedToolSelection]
         ] = None,
         seed: Optional[int] = None,
+        model: Optional[str] = None,
         **kwargs: Any,
-    ) -> Union[_models.StreamingChatCompletions, _models.ChatCompletions]:
+    ) -> Union[Iterable[_models.StreamingChatCompletionsUpdate], _models.ChatCompletions]:
         # pylint: disable=line-too-long
         # pylint: disable=too-many-locals
         """Gets chat completions for the provided chat messages.
@@ -451,10 +462,13 @@ def complete(
          ~azure.ai.inference.models.ChatCompletionsNamedToolSelection
         :keyword seed: If specified, the system will make a best effort to sample deterministically
          such that repeated requests with the
-         same seed and parameters should return the same result. Determinism is not guaranteed.".
+         same seed and parameters should return the same result. Determinism is not guaranteed.
          Default value is None.
         :paramtype seed: int
-        :return: ChatCompletions for non-streaming, or StreamingChatCompletions for streaming.
+        :keyword model: ID of the specific AI model to use, if more than one model is available on the
+         endpoint. Default value is None.
+        :paramtype model: str
+        :return: ChatCompletions for non-streaming, or Iterable[StreamingChatCompletionsUpdate] for streaming.
         :rtype: ~azure.ai.inference.models.ChatCompletions or ~azure.ai.inference.models.StreamingChatCompletions
         :raises ~azure.core.exceptions.HttpResponseError
         """
@@ -479,6 +493,7 @@ def complete(
                 "frequency_penalty": frequency_penalty,
                 "max_tokens": max_tokens,
                 "messages": messages,
+                "model": model,
                 "presence_penalty": presence_penalty,
                 "response_format": response_format,
                 "seed": seed,
@@ -603,13 +618,6 @@ def embed(
         :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
          Default value is "application/json".
         :paramtype content_type: str
-        :keyword extras: Extra parameters (in the form of string key-value pairs) that are not in the
-         standard request payload.
-         They will be passed to the service as-is in the root of the JSON request payload.
-         How the service handles these extra parameters depends on the value of the
-         ``extra-parameters``
-         HTTP request header. Default value is None.
-        :paramtype extras: dict[str, str]
         :keyword dimensions: Optional. The number of dimensions the resulting output embeddings should
          have.
          Passing null causes the model to use its default value.
@@ -855,13 +863,6 @@ def embed(
         :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
          Default value is "application/json".
         :paramtype content_type: str
-        :keyword extras: Extra parameters (in the form of string key-value pairs) that are not in the
-         standard request payload.
-         They will be passed to the service as-is in the root of the JSON request payload.
-         How the service handles these extra parameters depends on the value of the
-         ``extra-parameters``
-         HTTP request header. Default value is None.
-        :paramtype extras: dict[str, str]
         :keyword dimensions: Optional. The number of dimensions the resulting output embeddings should
          have.
          Passing null causes the model to use its default value.

sdk/ai/azure-ai-inference/azure/ai/inference/aio/_client.py

@@ -8,6 +8,7 @@
 
 from copy import deepcopy
 from typing import Any, Awaitable, TYPE_CHECKING, Union
+from typing_extensions import Self
 
 from azure.core import AsyncPipelineClient
 from azure.core.credentials import AzureKeyCredential
@@ -105,7 +106,7 @@ def send_request(
     async def close(self) -> None:
         await self._client.close()
 
-    async def __aenter__(self) -> "ChatCompletionsClient":
+    async def __aenter__(self) -> Self:
         await self._client.__aenter__()
         return self
 
@@ -187,7 +188,7 @@ def send_request(
     async def close(self) -> None:
         await self._client.close()
 
-    async def __aenter__(self) -> "EmbeddingsClient":
+    async def __aenter__(self) -> Self:
         await self._client.__aenter__()
         return self
 
@@ -269,7 +270,7 @@ def send_request(
     async def close(self) -> None:
         await self._client.close()
 
-    async def __aenter__(self) -> "ImageEmbeddingsClient":
+    async def __aenter__(self) -> Self:
         await self._client.__aenter__()
         return self