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‎.stats.yml‎

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configured_endpoints: 136
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-eeba8addf3a5f412e5ce8d22031e60c61650cee3f5d9e587a2533f6818a249ea.yml
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openapi_spec_hash: 0a4d8ad2469823ce24a3fd94f23f1c2b
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config_hash: 630eea84bb3067d25640419af058ed56
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-ca24bc4d8125b5153514ce643c4e3220f25971b7d67ca384d56d493c72c0d977.yml
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openapi_spec_hash: c6f048c7b3d29f4de48fde0e845ba33f
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config_hash: b876221dfb213df9f0a999e75d38a65e

‎api.md‎

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@@ -732,12 +732,16 @@ Types:
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```python
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from openai.types.responses import (
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ApplyPatchTool,
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ComputerTool,
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CustomTool,
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EasyInputMessage,
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FileSearchTool,
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FunctionShellTool,
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FunctionTool,
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Response,
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ResponseApplyPatchToolCall,
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ResponseApplyPatchToolCallOutput,
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ResponseAudioDeltaEvent,
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ResponseAudioDoneEvent,
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ResponseAudioTranscriptDeltaEvent,
@@ -774,6 +778,9 @@ from openai.types.responses import (
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ResponseFunctionCallArgumentsDoneEvent,
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ResponseFunctionCallOutputItem,
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ResponseFunctionCallOutputItemList,
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ResponseFunctionShellCallOutputContent,
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ResponseFunctionShellToolCall,
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ResponseFunctionShellToolCallOutput,
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ResponseFunctionToolCall,
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ResponseFunctionToolCallItem,
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ResponseFunctionToolCallOutputItem,
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ResponseWebSearchCallSearchingEvent,
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Tool,
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ToolChoiceAllowed,
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ToolChoiceApplyPatch,
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ToolChoiceCustom,
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ToolChoiceFunction,
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ToolChoiceMcp,
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ToolChoiceOptions,
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ToolChoiceShell,
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ToolChoiceTypes,
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WebSearchPreviewTool,
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WebSearchTool,

‎src/openai/lib/_parsing/_responses.py‎

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@@ -108,6 +108,10 @@ def parse_response(
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or output.type == "image_generation_call"
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or output.type == "code_interpreter_call"
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or output.type == "local_shell_call"
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or output.type == "shell_call"
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or output.type == "shell_call_output"
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or output.type == "apply_patch_call"
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or output.type == "apply_patch_call_output"
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or output.type == "mcp_list_tools"
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or output.type == "exec"
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or output.type == "custom_tool_call"

‎src/openai/resources/batches.py‎

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@@ -46,7 +46,9 @@ def create(
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self,
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*,
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completion_window: Literal["24h"],
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endpoint: Literal["/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions"],
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endpoint: Literal[
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"/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions", "/v1/moderations"
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],
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input_file_id: str,
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metadata: Optional[Metadata] | Omit = omit,
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output_expires_after: batch_create_params.OutputExpiresAfter | Omit = omit,
@@ -65,9 +67,10 @@ def create(
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is supported.
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endpoint: The endpoint to be used for all requests in the batch. Currently
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`/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
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are supported. Note that `/v1/embeddings` batches are also restricted to a
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maximum of 50,000 embedding inputs across all requests in the batch.
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`/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, `/v1/completions`,
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and `/v1/moderations` are supported. Note that `/v1/embeddings` batches are also
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restricted to a maximum of 50,000 embedding inputs across all requests in the
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batch.
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input_file_id: The ID of an uploaded file that contains requests for the new batch.
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@@ -261,7 +264,9 @@ async def create(
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self,
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*,
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completion_window: Literal["24h"],
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endpoint: Literal["/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions"],
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endpoint: Literal[
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"/v1/responses", "/v1/chat/completions", "/v1/embeddings", "/v1/completions", "/v1/moderations"
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],
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input_file_id: str,
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metadata: Optional[Metadata] | Omit = omit,
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output_expires_after: batch_create_params.OutputExpiresAfter | Omit = omit,
@@ -280,9 +285,10 @@ async def create(
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is supported.
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endpoint: The endpoint to be used for all requests in the batch. Currently
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`/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
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are supported. Note that `/v1/embeddings` batches are also restricted to a
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maximum of 50,000 embedding inputs across all requests in the batch.
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`/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, `/v1/completions`,
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and `/v1/moderations` are supported. Note that `/v1/embeddings` batches are also
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restricted to a maximum of 50,000 embedding inputs across all requests in the
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batch.
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input_file_id: The ID of an uploaded file that contains requests for the new batch.
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‎src/openai/resources/beta/assistants.py‎

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@@ -98,12 +98,16 @@ def create(
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),

‎src/openai/resources/beta/threads/runs/runs.py‎

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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
328332
[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
483-
effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
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effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
1616-
effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
@@ -1765,12 +1781,16 @@ async def create(
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
1769-
effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
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reasoning_effort: Constrains effort on reasoning for
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
1922-
effort can result in faster responses and fewer tokens used on reasoning in a
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response.
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Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning
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effort.
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supported values are `none`, `minimal`, `low`, `medium`, and `high`. Reducing
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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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- `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
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reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
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calls are supported for all reasoning values in gpt-5.1.
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- All models before `gpt-5.1` default to `medium` reasoning effort, and do not
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support `none`.
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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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response_format: Specifies the format that the model must output. Compatible with
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[GPT-4o](https://platform.openai.com/docs/models#gpt-4o),

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