openai · stainless-app · Oct 24, 2025 · Oct 17, 2025 · Oct 17, 2025 · Oct 20, 2025
@@ -1,3 +1,3 @@
 {
-  ".": "2.6.0"
+  ".": "2.6.1"
 }
@@ -1,4 +1,4 @@
 configured_endpoints: 136
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-812a10f8fb54c584efc914422b574cb3f43dc238b5733b13f6a0b2308b7d9910.yml
-openapi_spec_hash: 0222041ba12a5ff6b94924a834fa91a2
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-a3c45d9bd3bb25bf4eaa49b7fb473a00038293dec659ffaa44f624ded884abf4.yml
+openapi_spec_hash: 9c20aaf786a0700dabd13d9865481c9e
 config_hash: 50ee3382a63c021a9f821a935950e926
@@ -1,5 +1,18 @@
 # Changelog
 
+## 2.6.1 (2025-10-24)
+
+Full Changelog: [v2.6.0...v2.6.1](https://github.com/openai/openai-python/compare/v2.6.0...v2.6.1)
+
+### Bug Fixes
+
+* **api:** docs updates ([d01a0c9](https://github.com/openai/openai-python/commit/d01a0c96ecb94c78b7e16546790c573704b7515b))
+
+
+### Chores
+
+* **client:** clean up custom translations code ([cfb9e25](https://github.com/openai/openai-python/commit/cfb9e25855b8eb020abe02cdd99566adf474e821))
+
 ## 2.6.0 (2025-10-20)
 
 Full Changelog: [v2.5.0...v2.6.0](https://github.com/openai/openai-python/compare/v2.5.0...v2.6.0)

@@ -1,6 +1,6 @@
 [project]
 name = "openai"
-version = "2.6.0"
+version = "2.6.1"
 description = "The official Python library for the openai API"
 dynamic = ["readme"]
 license = "Apache-2.0"

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "openai"
-__version__ = "2.6.0"  # x-release-please-version
+__version__ = "2.6.1"  # x-release-please-version
@@ -69,9 +69,10 @@ def create(
         model: Union[str, AudioModel],
         chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit,
         include: List[TranscriptionInclude] | Omit = omit,
-        response_format: Union[Literal["json"], Omit] = omit,
         language: str | Omit = omit,
         prompt: str | Omit = omit,
+        response_format: Union[Literal["json"], Omit] = omit,
+        stream: Optional[Literal[False]] | Omit = omit,
         temperature: float | Omit = omit,
         timestamp_granularities: List[Literal["word", "segment"]] | Omit = omit,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
@@ -80,7 +81,68 @@ def create(
         extra_query: Query | None = None,
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = not_given,
-    ) -> Transcription: ...
+    ) -> Transcription:
+        """
+        Transcribes audio into the input language.
+
+        Args:
+          file:
+              The audio file object (not file name) to transcribe, in one of these formats:
+              flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+
+          model: ID of the model to use. The options are `gpt-4o-transcribe`,
+              `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+              Whisper V2 model).
+
+          chunking_strategy: Controls how the audio is cut into chunks. When set to `"auto"`, the server
+              first normalizes loudness and then uses voice activity detection (VAD) to choose
+              boundaries. `server_vad` object can be provided to tweak VAD detection
+              parameters manually. If unset, the audio is transcribed as a single block.
+
+          include: Additional information to include in the transcription response. `logprobs` will
+              return the log probabilities of the tokens in the response to understand the
+              model's confidence in the transcription. `logprobs` only works with
+              response_format set to `json` and only with the models `gpt-4o-transcribe` and
+              `gpt-4o-mini-transcribe`.
+
+          language: The language of the input audio. Supplying the input language in
+              [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+              format will improve accuracy and latency.
+
+          prompt: An optional text to guide the model's style or continue a previous audio
+              segment. The
+              [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+              should match the audio language.
+
+          response_format: The format of the output, in one of these options: `json`, `text`, `srt`,
+              `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+              the only supported format is `json`.
+
+          stream: If set to true, the model response data will be streamed to the client as it is
+              generated using
+              [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+              See the
+              [Streaming section of the Speech-to-Text guide](https://platform.openai.com/docs/guides/speech-to-text?lang=curl#streaming-transcriptions)
+              for more information.
+
+              Note: Streaming is not supported for the `whisper-1` model and will be ignored.
+
+          temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
+              output more random, while lower values like 0.2 will make it more focused and
+              deterministic. If set to 0, the model will use
+              [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+              automatically increase the temperature until certain thresholds are hit.
+
+          timestamp_granularities: The timestamp granularities to populate for this transcription.
+              `response_format` must be set `verbose_json` to use timestamp granularities.
+              Either or both of these options are supported: `word`, or `segment`. Note: There
+              is no additional latency for segment timestamps, but generating word timestamps
+              incurs additional latency.
+
+          extra_headers: Send extra headers
+
+          extra_query: Add additional query parameters to the request
+        """
 
     @overload
     def create(

@@ -71,20 +71,19 @@ def create(
         up to 512 MB, and the size of all files uploaded by one organization can be up
         to 1 TB.
 
-        The Assistants API supports files up to 2 million tokens and of specific file
-        types. See the
-        [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for
-        details.
-
-        The Fine-tuning API only supports `.jsonl` files. The input also has certain
-        required formats for fine-tuning
-        [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or
-        [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-        models.
-
-        The Batch API only supports `.jsonl` files up to 200 MB in size. The input also
-        has a specific required
-        [format](https://platform.openai.com/docs/api-reference/batch/request-input).
+        - The Assistants API supports files up to 2 million tokens and of specific file
+          types. See the
+          [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools)
+          for details.
+        - The Fine-tuning API only supports `.jsonl` files. The input also has certain
+          required formats for fine-tuning
+          [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input)
+          or
+          [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+          models.
+        - The Batch API only supports `.jsonl` files up to 200 MB in size. The input
+          also has a specific required
+          [format](https://platform.openai.com/docs/api-reference/batch/request-input).
 
         Please [contact us](https://help.openai.com/) if you need to increase these
         storage limits.
@@ -388,20 +387,19 @@ async def create(
         up to 512 MB, and the size of all files uploaded by one organization can be up
         to 1 TB.
 
-        The Assistants API supports files up to 2 million tokens and of specific file
-        types. See the
-        [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for
-        details.
-
-        The Fine-tuning API only supports `.jsonl` files. The input also has certain
-        required formats for fine-tuning
-        [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or
-        [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-        models.
-
-        The Batch API only supports `.jsonl` files up to 200 MB in size. The input also
-        has a specific required
-        [format](https://platform.openai.com/docs/api-reference/batch/request-input).
+        - The Assistants API supports files up to 2 million tokens and of specific file
+          types. See the
+          [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools)
+          for details.
+        - The Fine-tuning API only supports `.jsonl` files. The input also has certain
+          required formats for fine-tuning
+          [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input)
+          or
+          [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+          models.
+        - The Batch API only supports `.jsonl` files up to 200 MB in size. The input
+          also has a specific required
+          [format](https://platform.openai.com/docs/api-reference/batch/request-input).
 
         Please [contact us](https://help.openai.com/) if you need to increase these
         storage limits.

@@ -35,4 +35,6 @@ class Reasoning(BaseModel):
 
     This can be useful for debugging and understanding the model's reasoning
     process. One of `auto`, `concise`, or `detailed`.
+
+    `concise` is only supported for `computer-use-preview` models.
     """
@@ -36,4 +36,6 @@ class Reasoning(TypedDict, total=False):
 
     This can be useful for debugging and understanding the model's reasoning
     process. One of `auto`, `concise`, or `detailed`.
+
+    `concise` is only supported for `computer-use-preview` models.
     """