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feat(api): gpt-5.1-codex-max and responses/compact
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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-a7e92d12ebe89ca019a7ac5b29759064eefa2c38fe08d03516f2620e66abb32b.yml
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openapi_spec_hash: acbc703b2739447abc6312b2d753631c
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config_hash: b876221dfb213df9f0a999e75d38a65e
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configured_endpoints: 137
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-fe8a79e6fd407e6c9afec60971f03076b65f711ccd6ea16457933b0e24fb1f6d.yml
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openapi_spec_hash: 38c0a73f4e08843732c5f8002a809104
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config_hash: 2c350086d87a4b4532077363087840e7

‎api.md‎

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```python
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from openai.types.responses import (
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ApplyPatchTool,
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CompactedResponse,
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ComputerTool,
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CustomTool,
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EasyInputMessage,
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ResponseCodeInterpreterCallInProgressEvent,
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ResponseCodeInterpreterCallInterpretingEvent,
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ResponseCodeInterpreterToolCall,
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ResponseCompactionItem,
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ResponseCompactionItemParam,
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ResponseCompletedEvent,
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ResponseComputerToolCall,
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ResponseComputerToolCallOutputItem,
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- <code title="get /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">retrieve</a>(response_id, \*\*<a href="src/openai/types/responses/response_retrieve_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
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- <code title="delete /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">delete</a>(response_id) -> None</code>
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- <code title="post /responses/{response_id}/cancel">client.responses.<a href="./src/openai/resources/responses/responses.py">cancel</a>(response_id) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
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- <code title="post /responses/compact">client.responses.<a href="./src/openai/resources/responses/responses.py">compact</a>(\*\*<a href="src/openai/types/responses/response_compact_params.py">params</a>) -> <a href="./src/openai/types/responses/compacted_response.py">CompactedResponse</a></code>
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## InputItems
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InputAudioBufferClearedEvent,
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InputAudioBufferCommitEvent,
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InputAudioBufferCommittedEvent,
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InputAudioBufferDtmfEventReceivedEvent,
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InputAudioBufferSpeechStartedEvent,
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InputAudioBufferSpeechStoppedEvent,
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InputAudioBufferTimeoutTriggered,

‎src/openai/lib/_parsing/_responses.py‎

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or output.type == "file_search_call"
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or output.type == "web_search_call"
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or output.type == "reasoning"
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or output.type == "compaction"
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or output.type == "mcp_call"
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or output.type == "mcp_approval_request"
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or output.type == "image_generation_call"

‎src/openai/resources/beta/assistants.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 `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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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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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 `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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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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response_format: Specifies the format that the model must output. Compatible with
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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 `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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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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response_format: Specifies the format that the model must output. Compatible with
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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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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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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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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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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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 in a response.
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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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response_format: Specifies the format that the model must output. Compatible with
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[reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
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reasoning in a response.
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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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response_format: Specifies the format that the model must output. Compatible with
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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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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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- The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
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- `xhigh` is currently only supported for `gpt-5.1-codex-max`.
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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 `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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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on 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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reasoning effort can result in faster responses and fewer tokens used on
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reasoning in a response.
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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on reasoning in a response.
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calls are supported for all reasoning values in gpt-5.1.
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reasoning_effort: Constrains effort on reasoning for
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reasoning in a response.
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supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
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Reducing reasoning effort can result in faster responses and fewer tokens used
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on reasoning in a response.
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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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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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