diff --git a/en/python/resources/responses/methods/create/index.md b/en/python/resources/responses/methods/create/index.md deleted file mode 100644 index caf7e3e..0000000 --- a/en/python/resources/responses/methods/create/index.md +++ /dev/null @@ -1,9485 +0,0 @@ -## Create a model response - -`responses.create(ResponseCreateParams**kwargs) -> Response` - -**post** `/responses` - -Creates a model response. Provide [text](https://platform.openai.com/docs/guides/text) or -[image](https://platform.openai.com/docs/guides/images) inputs to generate [text](https://platform.openai.com/docs/guides/text) -or [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have the model call -your own [custom code](https://platform.openai.com/docs/guides/function-calling) or use built-in -[tools](https://platform.openai.com/docs/guides/tools) like [web search](https://platform.openai.com/docs/guides/tools-web-search) -or [file search](https://platform.openai.com/docs/guides/tools-file-search) to use your own data -as input for the model's response. - -### Parameters - -- `background: Optional[bool]` - - Whether to run the model response in the background. - [Learn more](https://platform.openai.com/docs/guides/background). - -- `context_management: Optional[Iterable[ContextManagement]]` - - Context management configuration for this request. - - - `type: str` - - The context management entry type. Currently only 'compaction' is supported. - - - `compact_threshold: Optional[int]` - - Token threshold at which compaction should be triggered for this entry. - -- `conversation: Optional[Conversation]` - - The conversation that this response belongs to. Items from this conversation are prepended to `input_items` for this response request. - Input items and output items from this response are automatically added to this conversation after this response completes. - - - `str` - - The unique ID of the conversation. - - - `class ResponseConversationParam: …` - - The conversation that this response belongs to. - - - `id: str` - - The unique ID of the conversation. - -- `include: Optional[List[ResponseIncludable]]` - - Specify additional output data to include in the model response. Currently supported values are: - - - `web_search_call.action.sources`: Include the sources of the web search tool call. - - `code_interpreter_call.outputs`: Includes the outputs of python code execution in code interpreter tool call items. - - `computer_call_output.output.image_url`: Include image urls from the computer call output. - - `file_search_call.results`: Include the search results of the file search tool call. - - `message.input_image.image_url`: Include image urls from the input message. - - `message.output_text.logprobs`: Include logprobs with assistant messages. - - `reasoning.encrypted_content`: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the `store` parameter is set to `false`, or when an organization is enrolled in the zero data retention program). - - - `"file_search_call.results"` - - - `"web_search_call.results"` - - - `"web_search_call.action.sources"` - - - `"message.input_image.image_url"` - - - `"computer_call_output.output.image_url"` - - - `"code_interpreter_call.outputs"` - - - `"reasoning.encrypted_content"` - - - `"message.output_text.logprobs"` - -- `input: Optional[Union[str, ResponseInputParam]]` - - Text, image, or file inputs to the model, used to generate a response. - - Learn more: - - - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) - - [Image inputs](https://platform.openai.com/docs/guides/images) - - [File inputs](https://platform.openai.com/docs/guides/pdf-files) - - [Conversation state](https://platform.openai.com/docs/guides/conversation-state) - - [Function calling](https://platform.openai.com/docs/guides/function-calling) - - - `str` - - A text input to the model, equivalent to a text input with the - `user` role. - - - `Iterable[ResponseInputItemParam]` - - - `class EasyInputMessage: …` - - A message input to the model with a role indicating instruction following - hierarchy. Instructions given with the `developer` or `system` role take - precedence over instructions given with the `user` role. Messages with the - `assistant` role are presumed to have been generated by the model in previous - interactions. - - - `content: Union[str, ResponseInputMessageContentList]` - - Text, image, or audio input to the model, used to generate a response. - Can also contain previous assistant responses. - - - `str` - - A text input to the model. - - - `List[ResponseInputContent]` - - - `class ResponseInputText: …` - - A text input to the model. - - - `text: str` - - The text input to the model. - - - `type: Literal["input_text"]` - - The type of the input item. Always `input_text`. - - - `"input_text"` - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `detail: Literal["low", "high", "auto", "original"]` - - The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - - - `"low"` - - - `"high"` - - - `"auto"` - - - `"original"` - - - `type: Literal["input_image"]` - - The type of the input item. Always `input_image`. - - - `"input_image"` - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `image_url: Optional[str]` - - The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. - - - `class ResponseInputFile: …` - - A file input to the model. - - - `type: Literal["input_file"]` - - The type of the input item. Always `input_file`. - - - `"input_file"` - - - `detail: Optional[Literal["low", "high"]]` - - The detail level of the file to be sent to the model. Use `low` for the default rendering behavior, or `high` to render the file at higher quality. Defaults to `low`. - - - `"low"` - - - `"high"` - - - `file_data: Optional[str]` - - The content of the file to be sent to the model. - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `file_url: Optional[str]` - - The URL of the file to be sent to the model. - - - `filename: Optional[str]` - - The name of the file to be sent to the model. - - - `role: Literal["user", "assistant", "system", "developer"]` - - The role of the message input. One of `user`, `assistant`, `system`, or - `developer`. - - - `"user"` - - - `"assistant"` - - - `"system"` - - - `"developer"` - - - `phase: Optional[Literal["commentary", "final_answer"]]` - - Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`). - For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend - phase on all assistant messages — dropping it can degrade performance. Not used for user messages. - - - `"commentary"` - - - `"final_answer"` - - - `type: Optional[Literal["message"]]` - - The type of the message input. Always `message`. - - - `"message"` - - - `class Message: …` - - A message input to the model with a role indicating instruction following - hierarchy. Instructions given with the `developer` or `system` role take - precedence over instructions given with the `user` role. - - - `content: ResponseInputMessageContentList` - - A list of one or many input items to the model, containing different content - types. - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `role: Literal["user", "system", "developer"]` - - The role of the message input. One of `user`, `system`, or `developer`. - - - `"user"` - - - `"system"` - - - `"developer"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Optional[Literal["message"]]` - - The type of the message input. Always set to `message`. - - - `"message"` - - - `class ResponseOutputMessage: …` - - An output message from the model. - - - `id: str` - - The unique ID of the output message. - - - `content: List[Content]` - - The content of the output message. - - - `class ResponseOutputText: …` - - A text output from the model. - - - `annotations: List[Annotation]` - - The annotations of the text output. - - - `class AnnotationFileCitation: …` - - A citation to a file. - - - `file_id: str` - - The ID of the file. - - - `filename: str` - - The filename of the file cited. - - - `index: int` - - The index of the file in the list of files. - - - `type: Literal["file_citation"]` - - The type of the file citation. Always `file_citation`. - - - `"file_citation"` - - - `class AnnotationURLCitation: …` - - A citation for a web resource used to generate a model response. - - - `end_index: int` - - The index of the last character of the URL citation in the message. - - - `start_index: int` - - The index of the first character of the URL citation in the message. - - - `title: str` - - The title of the web resource. - - - `type: Literal["url_citation"]` - - The type of the URL citation. Always `url_citation`. - - - `"url_citation"` - - - `url: str` - - The URL of the web resource. - - - `class AnnotationContainerFileCitation: …` - - A citation for a container file used to generate a model response. - - - `container_id: str` - - The ID of the container file. - - - `end_index: int` - - The index of the last character of the container file citation in the message. - - - `file_id: str` - - The ID of the file. - - - `filename: str` - - The filename of the container file cited. - - - `start_index: int` - - The index of the first character of the container file citation in the message. - - - `type: Literal["container_file_citation"]` - - The type of the container file citation. Always `container_file_citation`. - - - `"container_file_citation"` - - - `class AnnotationFilePath: …` - - A path to a file. - - - `file_id: str` - - The ID of the file. - - - `index: int` - - The index of the file in the list of files. - - - `type: Literal["file_path"]` - - The type of the file path. Always `file_path`. - - - `"file_path"` - - - `text: str` - - The text output from the model. - - - `type: Literal["output_text"]` - - The type of the output text. Always `output_text`. - - - `"output_text"` - - - `logprobs: Optional[List[Logprob]]` - - - `token: str` - - - `bytes: List[int]` - - - `logprob: float` - - - `top_logprobs: List[LogprobTopLogprob]` - - - `token: str` - - - `bytes: List[int]` - - - `logprob: float` - - - `class ResponseOutputRefusal: …` - - A refusal from the model. - - - `refusal: str` - - The refusal explanation from the model. - - - `type: Literal["refusal"]` - - The type of the refusal. Always `refusal`. - - - `"refusal"` - - - `role: Literal["assistant"]` - - The role of the output message. Always `assistant`. - - - `"assistant"` - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the message input. One of `in_progress`, `completed`, or - `incomplete`. Populated when input items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["message"]` - - The type of the output message. Always `message`. - - - `"message"` - - - `phase: Optional[Literal["commentary", "final_answer"]]` - - Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`). - For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend - phase on all assistant messages — dropping it can degrade performance. Not used for user messages. - - - `"commentary"` - - - `"final_answer"` - - - `class ResponseFileSearchToolCall: …` - - The results of a file search tool call. See the - [file search guide](https://platform.openai.com/docs/guides/tools-file-search) for more information. - - - `id: str` - - The unique ID of the file search tool call. - - - `queries: List[str]` - - The queries used to search for files. - - - `status: Literal["in_progress", "searching", "completed", 2 more]` - - The status of the file search tool call. One of `in_progress`, - `searching`, `incomplete` or `failed`, - - - `"in_progress"` - - - `"searching"` - - - `"completed"` - - - `"incomplete"` - - - `"failed"` - - - `type: Literal["file_search_call"]` - - The type of the file search tool call. Always `file_search_call`. - - - `"file_search_call"` - - - `results: Optional[List[Result]]` - - The results of the file search tool call. - - - `attributes: Optional[Dict[str, Union[str, float, bool]]]` - - Set of 16 key-value pairs that can be attached to an object. This can be - useful for storing additional information about the object in a structured - format, and querying for objects via API or the dashboard. Keys are strings - with a maximum length of 64 characters. Values are strings with a maximum - length of 512 characters, booleans, or numbers. - - - `str` - - - `float` - - - `bool` - - - `file_id: Optional[str]` - - The unique ID of the file. - - - `filename: Optional[str]` - - The name of the file. - - - `score: Optional[float]` - - The relevance score of the file - a value between 0 and 1. - - - `text: Optional[str]` - - The text that was retrieved from the file. - - - `class ResponseComputerToolCall: …` - - A tool call to a computer use tool. See the - [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use) for more information. - - - `id: str` - - The unique ID of the computer call. - - - `call_id: str` - - An identifier used when responding to the tool call with output. - - - `pending_safety_checks: List[PendingSafetyCheck]` - - The pending safety checks for the computer call. - - - `id: str` - - The ID of the pending safety check. - - - `code: Optional[str]` - - The type of the pending safety check. - - - `message: Optional[str]` - - Details about the pending safety check. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["computer_call"]` - - The type of the computer call. Always `computer_call`. - - - `"computer_call"` - - - `action: Optional[Action]` - - A click action. - - - `class ActionClick: …` - - A click action. - - - `button: Literal["left", "right", "wheel", 2 more]` - - Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. - - - `"left"` - - - `"right"` - - - `"wheel"` - - - `"back"` - - - `"forward"` - - - `type: Literal["click"]` - - Specifies the event type. For a click action, this property is always `click`. - - - `"click"` - - - `x: int` - - The x-coordinate where the click occurred. - - - `y: int` - - The y-coordinate where the click occurred. - - - `keys: Optional[List[str]]` - - The keys being held while clicking. - - - `class ActionDoubleClick: …` - - A double click action. - - - `keys: Optional[List[str]]` - - The keys being held while double-clicking. - - - `type: Literal["double_click"]` - - Specifies the event type. For a double click action, this property is always set to `double_click`. - - - `"double_click"` - - - `x: int` - - The x-coordinate where the double click occurred. - - - `y: int` - - The y-coordinate where the double click occurred. - - - `class ActionDrag: …` - - A drag action. - - - `path: List[ActionDragPath]` - - An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg - - ``` - [ - { x: 100, y: 200 }, - { x: 200, y: 300 } - ] - ``` - - - `x: int` - - The x-coordinate. - - - `y: int` - - The y-coordinate. - - - `type: Literal["drag"]` - - Specifies the event type. For a drag action, this property is always set to `drag`. - - - `"drag"` - - - `keys: Optional[List[str]]` - - The keys being held while dragging the mouse. - - - `class ActionKeypress: …` - - A collection of keypresses the model would like to perform. - - - `keys: List[str]` - - The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. - - - `type: Literal["keypress"]` - - Specifies the event type. For a keypress action, this property is always set to `keypress`. - - - `"keypress"` - - - `class ActionMove: …` - - A mouse move action. - - - `type: Literal["move"]` - - Specifies the event type. For a move action, this property is always set to `move`. - - - `"move"` - - - `x: int` - - The x-coordinate to move to. - - - `y: int` - - The y-coordinate to move to. - - - `keys: Optional[List[str]]` - - The keys being held while moving the mouse. - - - `class ActionScreenshot: …` - - A screenshot action. - - - `type: Literal["screenshot"]` - - Specifies the event type. For a screenshot action, this property is always set to `screenshot`. - - - `"screenshot"` - - - `class ActionScroll: …` - - A scroll action. - - - `scroll_x: int` - - The horizontal scroll distance. - - - `scroll_y: int` - - The vertical scroll distance. - - - `type: Literal["scroll"]` - - Specifies the event type. For a scroll action, this property is always set to `scroll`. - - - `"scroll"` - - - `x: int` - - The x-coordinate where the scroll occurred. - - - `y: int` - - The y-coordinate where the scroll occurred. - - - `keys: Optional[List[str]]` - - The keys being held while scrolling. - - - `class ActionType: …` - - An action to type in text. - - - `text: str` - - The text to type. - - - `type: Literal["type"]` - - Specifies the event type. For a type action, this property is always set to `type`. - - - `"type"` - - - `class ActionWait: …` - - A wait action. - - - `type: Literal["wait"]` - - Specifies the event type. For a wait action, this property is always set to `wait`. - - - `"wait"` - - - `actions: Optional[ComputerActionList]` - - Flattened batched actions for `computer_use`. Each action includes an - `type` discriminator and action-specific fields. - - - `class Click: …` - - A click action. - - - `button: Literal["left", "right", "wheel", 2 more]` - - Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. - - - `"left"` - - - `"right"` - - - `"wheel"` - - - `"back"` - - - `"forward"` - - - `type: Literal["click"]` - - Specifies the event type. For a click action, this property is always `click`. - - - `"click"` - - - `x: int` - - The x-coordinate where the click occurred. - - - `y: int` - - The y-coordinate where the click occurred. - - - `keys: Optional[List[str]]` - - The keys being held while clicking. - - - `class DoubleClick: …` - - A double click action. - - - `keys: Optional[List[str]]` - - The keys being held while double-clicking. - - - `type: Literal["double_click"]` - - Specifies the event type. For a double click action, this property is always set to `double_click`. - - - `"double_click"` - - - `x: int` - - The x-coordinate where the double click occurred. - - - `y: int` - - The y-coordinate where the double click occurred. - - - `class Drag: …` - - A drag action. - - - `path: List[DragPath]` - - An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg - - ``` - [ - { x: 100, y: 200 }, - { x: 200, y: 300 } - ] - ``` - - - `x: int` - - The x-coordinate. - - - `y: int` - - The y-coordinate. - - - `type: Literal["drag"]` - - Specifies the event type. For a drag action, this property is always set to `drag`. - - - `"drag"` - - - `keys: Optional[List[str]]` - - The keys being held while dragging the mouse. - - - `class Keypress: …` - - A collection of keypresses the model would like to perform. - - - `keys: List[str]` - - The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. - - - `type: Literal["keypress"]` - - Specifies the event type. For a keypress action, this property is always set to `keypress`. - - - `"keypress"` - - - `class Move: …` - - A mouse move action. - - - `type: Literal["move"]` - - Specifies the event type. For a move action, this property is always set to `move`. - - - `"move"` - - - `x: int` - - The x-coordinate to move to. - - - `y: int` - - The y-coordinate to move to. - - - `keys: Optional[List[str]]` - - The keys being held while moving the mouse. - - - `class Screenshot: …` - - A screenshot action. - - - `type: Literal["screenshot"]` - - Specifies the event type. For a screenshot action, this property is always set to `screenshot`. - - - `"screenshot"` - - - `class Scroll: …` - - A scroll action. - - - `scroll_x: int` - - The horizontal scroll distance. - - - `scroll_y: int` - - The vertical scroll distance. - - - `type: Literal["scroll"]` - - Specifies the event type. For a scroll action, this property is always set to `scroll`. - - - `"scroll"` - - - `x: int` - - The x-coordinate where the scroll occurred. - - - `y: int` - - The y-coordinate where the scroll occurred. - - - `keys: Optional[List[str]]` - - The keys being held while scrolling. - - - `class Type: …` - - An action to type in text. - - - `text: str` - - The text to type. - - - `type: Literal["type"]` - - Specifies the event type. For a type action, this property is always set to `type`. - - - `"type"` - - - `class Wait: …` - - A wait action. - - - `type: Literal["wait"]` - - Specifies the event type. For a wait action, this property is always set to `wait`. - - - `"wait"` - - - `class ComputerCallOutput: …` - - The output of a computer tool call. - - - `call_id: str` - - The ID of the computer tool call that produced the output. - - - `output: ResponseComputerToolCallOutputScreenshot` - - A computer screenshot image used with the computer use tool. - - - `type: Literal["computer_screenshot"]` - - Specifies the event type. For a computer screenshot, this property is - always set to `computer_screenshot`. - - - `"computer_screenshot"` - - - `file_id: Optional[str]` - - The identifier of an uploaded file that contains the screenshot. - - - `image_url: Optional[str]` - - The URL of the screenshot image. - - - `type: Literal["computer_call_output"]` - - The type of the computer tool call output. Always `computer_call_output`. - - - `"computer_call_output"` - - - `id: Optional[str]` - - The ID of the computer tool call output. - - - `acknowledged_safety_checks: Optional[List[ComputerCallOutputAcknowledgedSafetyCheck]]` - - The safety checks reported by the API that have been acknowledged by the developer. - - - `id: str` - - The ID of the pending safety check. - - - `code: Optional[str]` - - The type of the pending safety check. - - - `message: Optional[str]` - - Details about the pending safety check. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseFunctionWebSearch: …` - - The results of a web search tool call. See the - [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for more information. - - - `id: str` - - The unique ID of the web search tool call. - - - `action: Action` - - An object describing the specific action taken in this web search call. - Includes details on how the model used the web (search, open_page, find_in_page). - - - `class ActionSearch: …` - - Action type "search" - Performs a web search query. - - - `query: str` - - [DEPRECATED] The search query. - - - `type: Literal["search"]` - - The action type. - - - `"search"` - - - `queries: Optional[List[str]]` - - The search queries. - - - `sources: Optional[List[ActionSearchSource]]` - - The sources used in the search. - - - `type: Literal["url"]` - - The type of source. Always `url`. - - - `"url"` - - - `url: str` - - The URL of the source. - - - `class ActionOpenPage: …` - - Action type "open_page" - Opens a specific URL from search results. - - - `type: Literal["open_page"]` - - The action type. - - - `"open_page"` - - - `url: Optional[str]` - - The URL opened by the model. - - - `class ActionFindInPage: …` - - Action type "find_in_page": Searches for a pattern within a loaded page. - - - `pattern: str` - - The pattern or text to search for within the page. - - - `type: Literal["find_in_page"]` - - The action type. - - - `"find_in_page"` - - - `url: str` - - The URL of the page searched for the pattern. - - - `status: Literal["in_progress", "searching", "completed", "failed"]` - - The status of the web search tool call. - - - `"in_progress"` - - - `"searching"` - - - `"completed"` - - - `"failed"` - - - `type: Literal["web_search_call"]` - - The type of the web search tool call. Always `web_search_call`. - - - `"web_search_call"` - - - `class ResponseFunctionToolCall: …` - - A tool call to run a function. See the - [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. - - - `arguments: str` - - A JSON string of the arguments to pass to the function. - - - `call_id: str` - - The unique ID of the function tool call generated by the model. - - - `name: str` - - The name of the function to run. - - - `type: Literal["function_call"]` - - The type of the function tool call. Always `function_call`. - - - `"function_call"` - - - `id: Optional[str]` - - The unique ID of the function tool call. - - - `namespace: Optional[str]` - - The namespace of the function to run. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class FunctionCallOutput: …` - - The output of a function tool call. - - - `call_id: str` - - The unique ID of the function tool call generated by the model. - - - `output: Union[str, ResponseFunctionCallOutputItemList]` - - Text, image, or file output of the function tool call. - - - `str` - - A JSON string of the output of the function tool call. - - - `List[ResponseFunctionCallOutputItem]` - - - `class ResponseInputTextContent: …` - - A text input to the model. - - - `text: str` - - The text input to the model. - - - `type: Literal["input_text"]` - - The type of the input item. Always `input_text`. - - - `"input_text"` - - - `class ResponseInputImageContent: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision) - - - `type: Literal["input_image"]` - - The type of the input item. Always `input_image`. - - - `"input_image"` - - - `detail: Optional[Literal["low", "high", "auto", "original"]]` - - The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - - - `"low"` - - - `"high"` - - - `"auto"` - - - `"original"` - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `image_url: Optional[str]` - - The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. - - - `class ResponseInputFileContent: …` - - A file input to the model. - - - `type: Literal["input_file"]` - - The type of the input item. Always `input_file`. - - - `"input_file"` - - - `detail: Optional[Literal["low", "high"]]` - - The detail level of the file to be sent to the model. Use `low` for the default rendering behavior, or `high` to render the file at higher quality. Defaults to `low`. - - - `"low"` - - - `"high"` - - - `file_data: Optional[str]` - - The base64-encoded data of the file to be sent to the model. - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `file_url: Optional[str]` - - The URL of the file to be sent to the model. - - - `filename: Optional[str]` - - The name of the file to be sent to the model. - - - `type: Literal["function_call_output"]` - - The type of the function tool call output. Always `function_call_output`. - - - `"function_call_output"` - - - `id: Optional[str]` - - The unique ID of the function tool call output. Populated when this item is returned via API. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ToolSearchCall: …` - - - `arguments: object` - - The arguments supplied to the tool search call. - - - `type: Literal["tool_search_call"]` - - The item type. Always `tool_search_call`. - - - `"tool_search_call"` - - - `id: Optional[str]` - - The unique ID of this tool search call. - - - `call_id: Optional[str]` - - The unique ID of the tool search call generated by the model. - - - `execution: Optional[Literal["server", "client"]]` - - Whether tool search was executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the tool search call. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseToolSearchOutputItemParam: …` - - - `tools: List[Tool]` - - The loaded tool definitions returned by the tool search output. - - - `class FunctionTool: …` - - Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). - - - `name: str` - - The name of the function to call. - - - `parameters: Optional[Dict[str, object]]` - - A JSON schema object describing the parameters of the function. - - - `strict: Optional[bool]` - - Whether to enforce strict parameter validation. Default `true`. - - - `type: Literal["function"]` - - The type of the function tool. Always `function`. - - - `"function"` - - - `defer_loading: Optional[bool]` - - Whether this function is deferred and loaded via tool search. - - - `description: Optional[str]` - - A description of the function. Used by the model to determine whether or not to call the function. - - - `class FileSearchTool: …` - - A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search). - - - `type: Literal["file_search"]` - - The type of the file search tool. Always `file_search`. - - - `"file_search"` - - - `vector_store_ids: List[str]` - - The IDs of the vector stores to search. - - - `filters: Optional[Filters]` - - A filter to apply. - - - `class ComparisonFilter: …` - - A filter used to compare a specified attribute key to a given value using a defined comparison operation. - - - `key: str` - - The key to compare against the value. - - - `type: Literal["eq", "ne", "gt", 5 more]` - - Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`. - - - `eq`: equals - - `ne`: not equal - - `gt`: greater than - - `gte`: greater than or equal - - `lt`: less than - - `lte`: less than or equal - - `in`: in - - `nin`: not in - - - `"eq"` - - - `"ne"` - - - `"gt"` - - - `"gte"` - - - `"lt"` - - - `"lte"` - - - `"in"` - - - `"nin"` - - - `value: Union[str, float, bool, List[Union[str, float]]]` - - The value to compare against the attribute key; supports string, number, or boolean types. - - - `str` - - - `float` - - - `bool` - - - `List[Union[str, float]]` - - - `str` - - - `float` - - - `class CompoundFilter: …` - - Combine multiple filters using `and` or `or`. - - - `filters: List[Filter]` - - Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. - - - `class ComparisonFilter: …` - - A filter used to compare a specified attribute key to a given value using a defined comparison operation. - - - `object` - - - `type: Literal["and", "or"]` - - Type of operation: `and` or `or`. - - - `"and"` - - - `"or"` - - - `max_num_results: Optional[int]` - - The maximum number of results to return. This number should be between 1 and 50 inclusive. - - - `ranking_options: Optional[RankingOptions]` - - Ranking options for search. - - - `hybrid_search: Optional[RankingOptionsHybridSearch]` - - Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled. - - - `embedding_weight: float` - - The weight of the embedding in the reciprocal ranking fusion. - - - `text_weight: float` - - The weight of the text in the reciprocal ranking fusion. - - - `ranker: Optional[Literal["auto", "default-2024-11-15"]]` - - The ranker to use for the file search. - - - `"auto"` - - - `"default-2024-11-15"` - - - `score_threshold: Optional[float]` - - The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results. - - - `class ComputerTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `type: Literal["computer"]` - - The type of the computer tool. Always `computer`. - - - `"computer"` - - - `class ComputerUsePreviewTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `display_height: int` - - The height of the computer display. - - - `display_width: int` - - The width of the computer display. - - - `environment: Literal["windows", "mac", "linux", 2 more]` - - The type of computer environment to control. - - - `"windows"` - - - `"mac"` - - - `"linux"` - - - `"ubuntu"` - - - `"browser"` - - - `type: Literal["computer_use_preview"]` - - The type of the computer use tool. Always `computer_use_preview`. - - - `"computer_use_preview"` - - - `class WebSearchTool: …` - - Search the Internet for sources related to the prompt. Learn more about the - [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `type: Literal["web_search", "web_search_2025_08_26"]` - - The type of the web search tool. One of `web_search` or `web_search_2025_08_26`. - - - `"web_search"` - - - `"web_search_2025_08_26"` - - - `filters: Optional[Filters]` - - Filters for the search. - - - `allowed_domains: Optional[List[str]]` - - Allowed domains for the search. If not provided, all domains are allowed. - Subdomains of the provided domains are allowed as well. - - Example: `["pubmed.ncbi.nlm.nih.gov"]` - - - `search_context_size: Optional[Literal["low", "medium", "high"]]` - - High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `user_location: Optional[UserLocation]` - - The approximate location of the user. - - - `city: Optional[str]` - - Free text input for the city of the user, e.g. `San Francisco`. - - - `country: Optional[str]` - - The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. - - - `region: Optional[str]` - - Free text input for the region of the user, e.g. `California`. - - - `timezone: Optional[str]` - - The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. - - - `type: Optional[Literal["approximate"]]` - - The type of location approximation. Always `approximate`. - - - `"approximate"` - - - `class Mcp: …` - - Give the model access to additional tools via remote Model Context Protocol - (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-mcp). - - - `server_label: str` - - A label for this MCP server, used to identify it in tool calls. - - - `type: Literal["mcp"]` - - The type of the MCP tool. Always `mcp`. - - - `"mcp"` - - - `allowed_tools: Optional[McpAllowedTools]` - - List of allowed tool names or a filter object. - - - `List[str]` - - A string array of allowed tool names - - - `class McpAllowedToolsMcpToolFilter: …` - - A filter object to specify which tools are allowed. - - - `read_only: Optional[bool]` - - Indicates whether or not a tool modifies data or is read-only. If an - MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), - it will match this filter. - - - `tool_names: Optional[List[str]]` - - List of allowed tool names. - - - `authorization: Optional[str]` - - An OAuth access token that can be used with a remote MCP server, either - with a custom MCP server URL or a service connector. Your application - must handle the OAuth authorization flow and provide the token here. - - - `connector_id: Optional[Literal["connector_dropbox", "connector_gmail", "connector_googlecalendar", 5 more]]` - - Identifier for service connectors, like those available in ChatGPT. One of - `server_url` or `connector_id` must be provided. Learn more about service - connectors [here](https://platform.openai.com/docs/guides/tools-remote-mcp#connectors). - - Currently supported `connector_id` values are: - - - Dropbox: `connector_dropbox` - - Gmail: `connector_gmail` - - Google Calendar: `connector_googlecalendar` - - Google Drive: `connector_googledrive` - - Microsoft Teams: `connector_microsoftteams` - - Outlook Calendar: `connector_outlookcalendar` - - Outlook Email: `connector_outlookemail` - - SharePoint: `connector_sharepoint` - - - `"connector_dropbox"` - - - `"connector_gmail"` - - - `"connector_googlecalendar"` - - - `"connector_googledrive"` - - - `"connector_microsoftteams"` - - - `"connector_outlookcalendar"` - - - `"connector_outlookemail"` - - - `"connector_sharepoint"` - - - `defer_loading: Optional[bool]` - - Whether this MCP tool is deferred and discovered via tool search. - - - `headers: Optional[Dict[str, str]]` - - Optional HTTP headers to send to the MCP server. Use for authentication - or other purposes. - - - `require_approval: Optional[McpRequireApproval]` - - Specify which of the MCP server's tools require approval. - - - `class McpRequireApprovalMcpToolApprovalFilter: …` - - Specify which of the MCP server's tools require approval. Can be - `always`, `never`, or a filter object associated with tools - that require approval. - - - `always: Optional[McpRequireApprovalMcpToolApprovalFilterAlways]` - - A filter object to specify which tools are allowed. - - - `read_only: Optional[bool]` - - Indicates whether or not a tool modifies data or is read-only. If an - MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), - it will match this filter. - - - `tool_names: Optional[List[str]]` - - List of allowed tool names. - - - `never: Optional[McpRequireApprovalMcpToolApprovalFilterNever]` - - A filter object to specify which tools are allowed. - - - `read_only: Optional[bool]` - - Indicates whether or not a tool modifies data or is read-only. If an - MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), - it will match this filter. - - - `tool_names: Optional[List[str]]` - - List of allowed tool names. - - - `Literal["always", "never"]` - - Specify a single approval policy for all tools. One of `always` or - `never`. When set to `always`, all tools will require approval. When - set to `never`, all tools will not require approval. - - - `"always"` - - - `"never"` - - - `server_description: Optional[str]` - - Optional description of the MCP server, used to provide more context. - - - `server_url: Optional[str]` - - The URL for the MCP server. One of `server_url` or `connector_id` must be - provided. - - - `class CodeInterpreter: …` - - A tool that runs Python code to help generate a response to a prompt. - - - `container: CodeInterpreterContainer` - - The code interpreter container. Can be a container ID or an object that - specifies uploaded file IDs to make available to your code, along with an - optional `memory_limit` setting. - - - `str` - - The container ID. - - - `class CodeInterpreterContainerCodeInterpreterToolAuto: …` - - Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on. - - - `type: Literal["auto"]` - - Always `auto`. - - - `"auto"` - - - `file_ids: Optional[List[str]]` - - An optional list of uploaded files to make available to your code. - - - `memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]` - - The memory limit for the code interpreter container. - - - `"1g"` - - - `"4g"` - - - `"16g"` - - - `"64g"` - - - `network_policy: Optional[CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy]` - - Network access policy for the container. - - - `class ContainerNetworkPolicyDisabled: …` - - - `type: Literal["disabled"]` - - Disable outbound network access. Always `disabled`. - - - `"disabled"` - - - `class ContainerNetworkPolicyAllowlist: …` - - - `allowed_domains: List[str]` - - A list of allowed domains when type is `allowlist`. - - - `type: Literal["allowlist"]` - - Allow outbound network access only to specified domains. Always `allowlist`. - - - `"allowlist"` - - - `domain_secrets: Optional[List[ContainerNetworkPolicyDomainSecret]]` - - Optional domain-scoped secrets for allowlisted domains. - - - `domain: str` - - The domain associated with the secret. - - - `name: str` - - The name of the secret to inject for the domain. - - - `value: str` - - The secret value to inject for the domain. - - - `type: Literal["code_interpreter"]` - - The type of the code interpreter tool. Always `code_interpreter`. - - - `"code_interpreter"` - - - `class ImageGeneration: …` - - A tool that generates images using the GPT image models. - - - `type: Literal["image_generation"]` - - The type of the image generation tool. Always `image_generation`. - - - `"image_generation"` - - - `action: Optional[Literal["generate", "edit", "auto"]]` - - Whether to generate a new image or edit an existing image. Default: `auto`. - - - `"generate"` - - - `"edit"` - - - `"auto"` - - - `background: Optional[Literal["transparent", "opaque", "auto"]]` - - Allows to set transparency for the background of the generated image(s). - This parameter is only supported for GPT image models that support - transparent backgrounds. Must be one of `transparent`, `opaque`, or - `auto` (default value). When `auto` is used, the model will - automatically determine the best background for the image. - - `gpt-image-2` and `gpt-image-2-2026-04-21` do not support - transparent backgrounds. Requests with `background` set to - `transparent` will return an error for these models; use `opaque` or - `auto` instead. - - If `transparent`, the output format needs to support transparency, - so it should be set to either `png` (default value) or `webp`. - - - `"transparent"` - - - `"opaque"` - - - `"auto"` - - - `input_fidelity: Optional[Literal["high", "low"]]` - - Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`. - - - `"high"` - - - `"low"` - - - `input_image_mask: Optional[ImageGenerationInputImageMask]` - - Optional mask for inpainting. Contains `image_url` - (string, optional) and `file_id` (string, optional). - - - `file_id: Optional[str]` - - File ID for the mask image. - - - `image_url: Optional[str]` - - Base64-encoded mask image. - - - `model: Optional[Union[str, Literal["gpt-image-1", "gpt-image-1-mini", "gpt-image-2", 3 more], null]]` - - The image generation model to use. Default: `gpt-image-1`. - - - `str` - - - `Literal["gpt-image-1", "gpt-image-1-mini", "gpt-image-2", 3 more]` - - The image generation model to use. Default: `gpt-image-1`. - - - `"gpt-image-1"` - - - `"gpt-image-1-mini"` - - - `"gpt-image-2"` - - - `"gpt-image-2-2026-04-21"` - - - `"gpt-image-1.5"` - - - `"chatgpt-image-latest"` - - - `moderation: Optional[Literal["auto", "low"]]` - - Moderation level for the generated image. Default: `auto`. - - - `"auto"` - - - `"low"` - - - `output_compression: Optional[int]` - - Compression level for the output image. Default: 100. - - - `output_format: Optional[Literal["png", "webp", "jpeg"]]` - - The output format of the generated image. One of `png`, `webp`, or - `jpeg`. Default: `png`. - - - `"png"` - - - `"webp"` - - - `"jpeg"` - - - `partial_images: Optional[int]` - - Number of partial images to generate in streaming mode, from 0 (default value) to 3. - - - `quality: Optional[Literal["low", "medium", "high", "auto"]]` - - The quality of the generated image. One of `low`, `medium`, `high`, - or `auto`. Default: `auto`. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `"auto"` - - - `size: Optional[Union[str, Literal["1024x1024", "1024x1536", "1536x1024", "auto"], null]]` - - The size of the generated images. For `gpt-image-2` and `gpt-image-2-2026-04-21`, arbitrary resolutions are supported as `WIDTHxHEIGHT` strings, for example `1536x864`. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above `2560x1440` are experimental, and the maximum supported resolution is `3840x2160`. The requested size must also satisfy the model's current pixel and edge limits. The standard sizes `1024x1024`, `1536x1024`, and `1024x1536` are supported by the GPT image models; `auto` is supported for models that allow automatic sizing. For `dall-e-2`, use one of `256x256`, `512x512`, or `1024x1024`. For `dall-e-3`, use one of `1024x1024`, `1792x1024`, or `1024x1792`. - - - `str` - - - `Literal["1024x1024", "1024x1536", "1536x1024", "auto"]` - - The size of the generated images. For `gpt-image-2` and `gpt-image-2-2026-04-21`, arbitrary resolutions are supported as `WIDTHxHEIGHT` strings, for example `1536x864`. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above `2560x1440` are experimental, and the maximum supported resolution is `3840x2160`. The requested size must also satisfy the model's current pixel and edge limits. The standard sizes `1024x1024`, `1536x1024`, and `1024x1536` are supported by the GPT image models; `auto` is supported for models that allow automatic sizing. For `dall-e-2`, use one of `256x256`, `512x512`, or `1024x1024`. For `dall-e-3`, use one of `1024x1024`, `1792x1024`, or `1024x1792`. - - - `"1024x1024"` - - - `"1024x1536"` - - - `"1536x1024"` - - - `"auto"` - - - `class LocalShell: …` - - A tool that allows the model to execute shell commands in a local environment. - - - `type: Literal["local_shell"]` - - The type of the local shell tool. Always `local_shell`. - - - `"local_shell"` - - - `class FunctionShellTool: …` - - A tool that allows the model to execute shell commands. - - - `type: Literal["shell"]` - - The type of the shell tool. Always `shell`. - - - `"shell"` - - - `environment: Optional[Environment]` - - - `class ContainerAuto: …` - - - `type: Literal["container_auto"]` - - Automatically creates a container for this request - - - `"container_auto"` - - - `file_ids: Optional[List[str]]` - - An optional list of uploaded files to make available to your code. - - - `memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]` - - The memory limit for the container. - - - `"1g"` - - - `"4g"` - - - `"16g"` - - - `"64g"` - - - `network_policy: Optional[NetworkPolicy]` - - Network access policy for the container. - - - `class ContainerNetworkPolicyDisabled: …` - - - `class ContainerNetworkPolicyAllowlist: …` - - - `skills: Optional[List[Skill]]` - - An optional list of skills referenced by id or inline data. - - - `class SkillReference: …` - - - `skill_id: str` - - The ID of the referenced skill. - - - `type: Literal["skill_reference"]` - - References a skill created with the /v1/skills endpoint. - - - `"skill_reference"` - - - `version: Optional[str]` - - Optional skill version. Use a positive integer or 'latest'. Omit for default. - - - `class InlineSkill: …` - - - `description: str` - - The description of the skill. - - - `name: str` - - The name of the skill. - - - `source: InlineSkillSource` - - Inline skill payload - - - `data: str` - - Base64-encoded skill zip bundle. - - - `media_type: Literal["application/zip"]` - - The media type of the inline skill payload. Must be `application/zip`. - - - `"application/zip"` - - - `type: Literal["base64"]` - - The type of the inline skill source. Must be `base64`. - - - `"base64"` - - - `type: Literal["inline"]` - - Defines an inline skill for this request. - - - `"inline"` - - - `class LocalEnvironment: …` - - - `type: Literal["local"]` - - Use a local computer environment. - - - `"local"` - - - `skills: Optional[List[LocalSkill]]` - - An optional list of skills. - - - `description: str` - - The description of the skill. - - - `name: str` - - The name of the skill. - - - `path: str` - - The path to the directory containing the skill. - - - `class ContainerReference: …` - - - `container_id: str` - - The ID of the referenced container. - - - `type: Literal["container_reference"]` - - References a container created with the /v1/containers endpoint - - - `"container_reference"` - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `name: str` - - The name of the custom tool, used to identify it in tool calls. - - - `type: Literal["custom"]` - - The type of the custom tool. Always `custom`. - - - `"custom"` - - - `defer_loading: Optional[bool]` - - Whether this tool should be deferred and discovered via tool search. - - - `description: Optional[str]` - - Optional description of the custom tool, used to provide more context. - - - `format: Optional[CustomToolInputFormat]` - - The input format for the custom tool. Default is unconstrained text. - - - `class Text: …` - - Unconstrained free-form text. - - - `type: Literal["text"]` - - Unconstrained text format. Always `text`. - - - `"text"` - - - `class Grammar: …` - - A grammar defined by the user. - - - `definition: str` - - The grammar definition. - - - `syntax: Literal["lark", "regex"]` - - The syntax of the grammar definition. One of `lark` or `regex`. - - - `"lark"` - - - `"regex"` - - - `type: Literal["grammar"]` - - Grammar format. Always `grammar`. - - - `"grammar"` - - - `class NamespaceTool: …` - - Groups function/custom tools under a shared namespace. - - - `description: str` - - A description of the namespace shown to the model. - - - `name: str` - - The namespace name used in tool calls (for example, `crm`). - - - `tools: List[Tool]` - - The function/custom tools available inside this namespace. - - - `class ToolFunction: …` - - - `name: str` - - - `type: Literal["function"]` - - - `"function"` - - - `defer_loading: Optional[bool]` - - Whether this function should be deferred and discovered via tool search. - - - `description: Optional[str]` - - - `parameters: Optional[object]` - - - `strict: Optional[bool]` - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `type: Literal["namespace"]` - - The type of the tool. Always `namespace`. - - - `"namespace"` - - - `class ToolSearchTool: …` - - Hosted or BYOT tool search configuration for deferred tools. - - - `type: Literal["tool_search"]` - - The type of the tool. Always `tool_search`. - - - `"tool_search"` - - - `description: Optional[str]` - - Description shown to the model for a client-executed tool search tool. - - - `execution: Optional[Literal["server", "client"]]` - - Whether tool search is executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `parameters: Optional[object]` - - Parameter schema for a client-executed tool search tool. - - - `class WebSearchPreviewTool: …` - - This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `type: Literal["web_search_preview", "web_search_preview_2025_03_11"]` - - The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`. - - - `"web_search_preview"` - - - `"web_search_preview_2025_03_11"` - - - `search_content_types: Optional[List[Literal["text", "image"]]]` - - - `"text"` - - - `"image"` - - - `search_context_size: Optional[Literal["low", "medium", "high"]]` - - High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `user_location: Optional[UserLocation]` - - The user's location. - - - `type: Literal["approximate"]` - - The type of location approximation. Always `approximate`. - - - `"approximate"` - - - `city: Optional[str]` - - Free text input for the city of the user, e.g. `San Francisco`. - - - `country: Optional[str]` - - The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. - - - `region: Optional[str]` - - Free text input for the region of the user, e.g. `California`. - - - `timezone: Optional[str]` - - The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. - - - `class ApplyPatchTool: …` - - Allows the assistant to create, delete, or update files using unified diffs. - - - `type: Literal["apply_patch"]` - - The type of the tool. Always `apply_patch`. - - - `"apply_patch"` - - - `type: Literal["tool_search_output"]` - - The item type. Always `tool_search_output`. - - - `"tool_search_output"` - - - `id: Optional[str]` - - The unique ID of this tool search output. - - - `call_id: Optional[str]` - - The unique ID of the tool search call generated by the model. - - - `execution: Optional[Literal["server", "client"]]` - - Whether tool search was executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the tool search output. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseReasoningItem: …` - - A description of the chain of thought used by a reasoning model while generating - a response. Be sure to include these items in your `input` to the Responses API - for subsequent turns of a conversation if you are manually - [managing context](https://platform.openai.com/docs/guides/conversation-state). - - - `id: str` - - The unique identifier of the reasoning content. - - - `summary: List[Summary]` - - Reasoning summary content. - - - `text: str` - - A summary of the reasoning output from the model so far. - - - `type: Literal["summary_text"]` - - The type of the object. Always `summary_text`. - - - `"summary_text"` - - - `type: Literal["reasoning"]` - - The type of the object. Always `reasoning`. - - - `"reasoning"` - - - `content: Optional[List[Content]]` - - Reasoning text content. - - - `text: str` - - The reasoning text from the model. - - - `type: Literal["reasoning_text"]` - - The type of the reasoning text. Always `reasoning_text`. - - - `"reasoning_text"` - - - `encrypted_content: Optional[str]` - - The encrypted content of the reasoning item - populated when a response is - generated with `reasoning.encrypted_content` in the `include` parameter. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseCompactionItemParam: …` - - A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). - - - `encrypted_content: str` - - The encrypted content of the compaction summary. - - - `type: Literal["compaction"]` - - The type of the item. Always `compaction`. - - - `"compaction"` - - - `id: Optional[str]` - - The ID of the compaction item. - - - `class ImageGenerationCall: …` - - An image generation request made by the model. - - - `id: str` - - The unique ID of the image generation call. - - - `result: Optional[str]` - - The generated image encoded in base64. - - - `status: Literal["in_progress", "completed", "generating", "failed"]` - - The status of the image generation call. - - - `"in_progress"` - - - `"completed"` - - - `"generating"` - - - `"failed"` - - - `type: Literal["image_generation_call"]` - - The type of the image generation call. Always `image_generation_call`. - - - `"image_generation_call"` - - - `class ResponseCodeInterpreterToolCall: …` - - A tool call to run code. - - - `id: str` - - The unique ID of the code interpreter tool call. - - - `code: Optional[str]` - - The code to run, or null if not available. - - - `container_id: str` - - The ID of the container used to run the code. - - - `outputs: Optional[List[Output]]` - - The outputs generated by the code interpreter, such as logs or images. - Can be null if no outputs are available. - - - `class OutputLogs: …` - - The logs output from the code interpreter. - - - `logs: str` - - The logs output from the code interpreter. - - - `type: Literal["logs"]` - - The type of the output. Always `logs`. - - - `"logs"` - - - `class OutputImage: …` - - The image output from the code interpreter. - - - `type: Literal["image"]` - - The type of the output. Always `image`. - - - `"image"` - - - `url: str` - - The URL of the image output from the code interpreter. - - - `status: Literal["in_progress", "completed", "incomplete", 2 more]` - - The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `"interpreting"` - - - `"failed"` - - - `type: Literal["code_interpreter_call"]` - - The type of the code interpreter tool call. Always `code_interpreter_call`. - - - `"code_interpreter_call"` - - - `class LocalShellCall: …` - - A tool call to run a command on the local shell. - - - `id: str` - - The unique ID of the local shell call. - - - `action: LocalShellCallAction` - - Execute a shell command on the server. - - - `command: List[str]` - - The command to run. - - - `env: Dict[str, str]` - - Environment variables to set for the command. - - - `type: Literal["exec"]` - - The type of the local shell action. Always `exec`. - - - `"exec"` - - - `timeout_ms: Optional[int]` - - Optional timeout in milliseconds for the command. - - - `user: Optional[str]` - - Optional user to run the command as. - - - `working_directory: Optional[str]` - - Optional working directory to run the command in. - - - `call_id: str` - - The unique ID of the local shell tool call generated by the model. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the local shell call. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["local_shell_call"]` - - The type of the local shell call. Always `local_shell_call`. - - - `"local_shell_call"` - - - `class LocalShellCallOutput: …` - - The output of a local shell tool call. - - - `id: str` - - The unique ID of the local shell tool call generated by the model. - - - `output: str` - - A JSON string of the output of the local shell tool call. - - - `type: Literal["local_shell_call_output"]` - - The type of the local shell tool call output. Always `local_shell_call_output`. - - - `"local_shell_call_output"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ShellCall: …` - - A tool representing a request to execute one or more shell commands. - - - `action: ShellCallAction` - - The shell commands and limits that describe how to run the tool call. - - - `commands: List[str]` - - Ordered shell commands for the execution environment to run. - - - `max_output_length: Optional[int]` - - Maximum number of UTF-8 characters to capture from combined stdout and stderr output. - - - `timeout_ms: Optional[int]` - - Maximum wall-clock time in milliseconds to allow the shell commands to run. - - - `call_id: str` - - The unique ID of the shell tool call generated by the model. - - - `type: Literal["shell_call"]` - - The type of the item. Always `shell_call`. - - - `"shell_call"` - - - `id: Optional[str]` - - The unique ID of the shell tool call. Populated when this item is returned via API. - - - `environment: Optional[ShellCallEnvironment]` - - The environment to execute the shell commands in. - - - `class LocalEnvironment: …` - - - `class ContainerReference: …` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ShellCallOutput: …` - - The streamed output items emitted by a shell tool call. - - - `call_id: str` - - The unique ID of the shell tool call generated by the model. - - - `output: List[ResponseFunctionShellCallOutputContent]` - - Captured chunks of stdout and stderr output, along with their associated outcomes. - - - `outcome: Outcome` - - The exit or timeout outcome associated with this shell call. - - - `class OutcomeTimeout: …` - - Indicates that the shell call exceeded its configured time limit. - - - `type: Literal["timeout"]` - - The outcome type. Always `timeout`. - - - `"timeout"` - - - `class OutcomeExit: …` - - Indicates that the shell commands finished and returned an exit code. - - - `exit_code: int` - - The exit code returned by the shell process. - - - `type: Literal["exit"]` - - The outcome type. Always `exit`. - - - `"exit"` - - - `stderr: str` - - Captured stderr output for the shell call. - - - `stdout: str` - - Captured stdout output for the shell call. - - - `type: Literal["shell_call_output"]` - - The type of the item. Always `shell_call_output`. - - - `"shell_call_output"` - - - `id: Optional[str]` - - The unique ID of the shell tool call output. Populated when this item is returned via API. - - - `max_output_length: Optional[int]` - - The maximum number of UTF-8 characters captured for this shell call's combined output. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the shell call output. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ApplyPatchCall: …` - - A tool call representing a request to create, delete, or update files using diff patches. - - - `call_id: str` - - The unique ID of the apply patch tool call generated by the model. - - - `operation: ApplyPatchCallOperation` - - The specific create, delete, or update instruction for the apply_patch tool call. - - - `class ApplyPatchCallOperationCreateFile: …` - - Instruction for creating a new file via the apply_patch tool. - - - `diff: str` - - Unified diff content to apply when creating the file. - - - `path: str` - - Path of the file to create relative to the workspace root. - - - `type: Literal["create_file"]` - - The operation type. Always `create_file`. - - - `"create_file"` - - - `class ApplyPatchCallOperationDeleteFile: …` - - Instruction for deleting an existing file via the apply_patch tool. - - - `path: str` - - Path of the file to delete relative to the workspace root. - - - `type: Literal["delete_file"]` - - The operation type. Always `delete_file`. - - - `"delete_file"` - - - `class ApplyPatchCallOperationUpdateFile: …` - - Instruction for updating an existing file via the apply_patch tool. - - - `diff: str` - - Unified diff content to apply to the existing file. - - - `path: str` - - Path of the file to update relative to the workspace root. - - - `type: Literal["update_file"]` - - The operation type. Always `update_file`. - - - `"update_file"` - - - `status: Literal["in_progress", "completed"]` - - The status of the apply patch tool call. One of `in_progress` or `completed`. - - - `"in_progress"` - - - `"completed"` - - - `type: Literal["apply_patch_call"]` - - The type of the item. Always `apply_patch_call`. - - - `"apply_patch_call"` - - - `id: Optional[str]` - - The unique ID of the apply patch tool call. Populated when this item is returned via API. - - - `class ApplyPatchCallOutput: …` - - The streamed output emitted by an apply patch tool call. - - - `call_id: str` - - The unique ID of the apply patch tool call generated by the model. - - - `status: Literal["completed", "failed"]` - - The status of the apply patch tool call output. One of `completed` or `failed`. - - - `"completed"` - - - `"failed"` - - - `type: Literal["apply_patch_call_output"]` - - The type of the item. Always `apply_patch_call_output`. - - - `"apply_patch_call_output"` - - - `id: Optional[str]` - - The unique ID of the apply patch tool call output. Populated when this item is returned via API. - - - `output: Optional[str]` - - Optional human-readable log text from the apply patch tool (e.g., patch results or errors). - - - `class McpListTools: …` - - A list of tools available on an MCP server. - - - `id: str` - - The unique ID of the list. - - - `server_label: str` - - The label of the MCP server. - - - `tools: List[McpListToolsTool]` - - The tools available on the server. - - - `input_schema: object` - - The JSON schema describing the tool's input. - - - `name: str` - - The name of the tool. - - - `annotations: Optional[object]` - - Additional annotations about the tool. - - - `description: Optional[str]` - - The description of the tool. - - - `type: Literal["mcp_list_tools"]` - - The type of the item. Always `mcp_list_tools`. - - - `"mcp_list_tools"` - - - `error: Optional[str]` - - Error message if the server could not list tools. - - - `class McpApprovalRequest: …` - - A request for human approval of a tool invocation. - - - `id: str` - - The unique ID of the approval request. - - - `arguments: str` - - A JSON string of arguments for the tool. - - - `name: str` - - The name of the tool to run. - - - `server_label: str` - - The label of the MCP server making the request. - - - `type: Literal["mcp_approval_request"]` - - The type of the item. Always `mcp_approval_request`. - - - `"mcp_approval_request"` - - - `class McpApprovalResponse: …` - - A response to an MCP approval request. - - - `approval_request_id: str` - - The ID of the approval request being answered. - - - `approve: bool` - - Whether the request was approved. - - - `type: Literal["mcp_approval_response"]` - - The type of the item. Always `mcp_approval_response`. - - - `"mcp_approval_response"` - - - `id: Optional[str]` - - The unique ID of the approval response - - - `reason: Optional[str]` - - Optional reason for the decision. - - - `class McpCall: …` - - An invocation of a tool on an MCP server. - - - `id: str` - - The unique ID of the tool call. - - - `arguments: str` - - A JSON string of the arguments passed to the tool. - - - `name: str` - - The name of the tool that was run. - - - `server_label: str` - - The label of the MCP server running the tool. - - - `type: Literal["mcp_call"]` - - The type of the item. Always `mcp_call`. - - - `"mcp_call"` - - - `approval_request_id: Optional[str]` - - Unique identifier for the MCP tool call approval request. - Include this value in a subsequent `mcp_approval_response` input to approve or reject the corresponding tool call. - - - `error: Optional[str]` - - The error from the tool call, if any. - - - `output: Optional[str]` - - The output from the tool call. - - - `status: Optional[Literal["in_progress", "completed", "incomplete", 2 more]]` - - The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `"calling"` - - - `"failed"` - - - `class ResponseCustomToolCallOutput: …` - - The output of a custom tool call from your code, being sent back to the model. - - - `call_id: str` - - The call ID, used to map this custom tool call output to a custom tool call. - - - `output: Union[str, List[OutputOutputContentList]]` - - The output from the custom tool call generated by your code. - Can be a string or an list of output content. - - - `str` - - A string of the output of the custom tool call. - - - `List[OutputOutputContentList]` - - Text, image, or file output of the custom tool call. - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `type: Literal["custom_tool_call_output"]` - - The type of the custom tool call output. Always `custom_tool_call_output`. - - - `"custom_tool_call_output"` - - - `id: Optional[str]` - - The unique ID of the custom tool call output in the OpenAI platform. - - - `class ResponseCustomToolCall: …` - - A call to a custom tool created by the model. - - - `call_id: str` - - An identifier used to map this custom tool call to a tool call output. - - - `input: str` - - The input for the custom tool call generated by the model. - - - `name: str` - - The name of the custom tool being called. - - - `type: Literal["custom_tool_call"]` - - The type of the custom tool call. Always `custom_tool_call`. - - - `"custom_tool_call"` - - - `id: Optional[str]` - - The unique ID of the custom tool call in the OpenAI platform. - - - `namespace: Optional[str]` - - The namespace of the custom tool being called. - - - `class CompactionTrigger: …` - - Compacts the current context. Must be the final input item. - - - `type: Literal["compaction_trigger"]` - - The type of the item. Always `compaction_trigger`. - - - `"compaction_trigger"` - - - `class ItemReference: …` - - An internal identifier for an item to reference. - - - `id: str` - - The ID of the item to reference. - - - `type: Optional[Literal["item_reference"]]` - - The type of item to reference. Always `item_reference`. - - - `"item_reference"` - -- `instructions: Optional[str]` - - A system (or developer) message inserted into the model's context. - - When using along with `previous_response_id`, the instructions from a previous - response will not be carried over to the next response. This makes it simple - to swap out system (or developer) messages in new responses. - -- `max_output_tokens: Optional[int]` - - An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). - -- `max_tool_calls: Optional[int]` - - The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. - -- `metadata: Optional[Metadata]` - - Set of 16 key-value pairs that can be attached to an object. This can be - useful for storing additional information about the object in a structured - format, and querying for objects via API or the dashboard. - - Keys are strings with a maximum length of 64 characters. Values are strings - with a maximum length of 512 characters. - -- `model: Optional[ResponsesModel]` - - Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI - offers a wide range of models with different capabilities, performance - characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) - to browse and compare available models. - - - `str` - - - `Literal["gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", 75 more]` - - - `"gpt-5.4"` - - - `"gpt-5.4-mini"` - - - `"gpt-5.4-nano"` - - - `"gpt-5.4-mini-2026-03-17"` - - - `"gpt-5.4-nano-2026-03-17"` - - - `"gpt-5.3-chat-latest"` - - - `"gpt-5.2"` - - - `"gpt-5.2-2025-12-11"` - - - `"gpt-5.2-chat-latest"` - - - `"gpt-5.2-pro"` - - - `"gpt-5.2-pro-2025-12-11"` - - - `"gpt-5.1"` - - - `"gpt-5.1-2025-11-13"` - - - `"gpt-5.1-codex"` - - - `"gpt-5.1-mini"` - - - `"gpt-5.1-chat-latest"` - - - `"gpt-5"` - - - `"gpt-5-mini"` - - - `"gpt-5-nano"` - - - `"gpt-5-2025-08-07"` - - - `"gpt-5-mini-2025-08-07"` - - - `"gpt-5-nano-2025-08-07"` - - - `"gpt-5-chat-latest"` - - - `"gpt-4.1"` - - - `"gpt-4.1-mini"` - - - `"gpt-4.1-nano"` - - - `"gpt-4.1-2025-04-14"` - - - `"gpt-4.1-mini-2025-04-14"` - - - `"gpt-4.1-nano-2025-04-14"` - - - `"o4-mini"` - - - `"o4-mini-2025-04-16"` - - - `"o3"` - - - `"o3-2025-04-16"` - - - `"o3-mini"` - - - `"o3-mini-2025-01-31"` - - - `"o1"` - - - `"o1-2024-12-17"` - - - `"o1-preview"` - - - `"o1-preview-2024-09-12"` - - - `"o1-mini"` - - - `"o1-mini-2024-09-12"` - - - `"gpt-4o"` - - - `"gpt-4o-2024-11-20"` - - - `"gpt-4o-2024-08-06"` - - - `"gpt-4o-2024-05-13"` - - - `"gpt-4o-audio-preview"` - - - `"gpt-4o-audio-preview-2024-10-01"` - - - `"gpt-4o-audio-preview-2024-12-17"` - - - `"gpt-4o-audio-preview-2025-06-03"` - - - `"gpt-4o-mini-audio-preview"` - - - `"gpt-4o-mini-audio-preview-2024-12-17"` - - - `"gpt-4o-search-preview"` - - - `"gpt-4o-mini-search-preview"` - - - `"gpt-4o-search-preview-2025-03-11"` - - - `"gpt-4o-mini-search-preview-2025-03-11"` - - - `"chatgpt-4o-latest"` - - - `"codex-mini-latest"` - - - `"gpt-4o-mini"` - - - `"gpt-4o-mini-2024-07-18"` - - - `"gpt-4-turbo"` - - - `"gpt-4-turbo-2024-04-09"` - - - `"gpt-4-0125-preview"` - - - `"gpt-4-turbo-preview"` - - - `"gpt-4-1106-preview"` - - - `"gpt-4-vision-preview"` - - - `"gpt-4"` - - - `"gpt-4-0314"` - - - `"gpt-4-0613"` - - - `"gpt-4-32k"` - - - `"gpt-4-32k-0314"` - - - `"gpt-4-32k-0613"` - - - `"gpt-3.5-turbo"` - - - `"gpt-3.5-turbo-16k"` - - - `"gpt-3.5-turbo-0301"` - - - `"gpt-3.5-turbo-0613"` - - - `"gpt-3.5-turbo-1106"` - - - `"gpt-3.5-turbo-0125"` - - - `"gpt-3.5-turbo-16k-0613"` - - - `Literal["o1-pro", "o1-pro-2025-03-19", "o3-pro", 11 more]` - - - `"o1-pro"` - - - `"o1-pro-2025-03-19"` - - - `"o3-pro"` - - - `"o3-pro-2025-06-10"` - - - `"o3-deep-research"` - - - `"o3-deep-research-2025-06-26"` - - - `"o4-mini-deep-research"` - - - `"o4-mini-deep-research-2025-06-26"` - - - `"computer-use-preview"` - - - `"computer-use-preview-2025-03-11"` - - - `"gpt-5-codex"` - - - `"gpt-5-pro"` - - - `"gpt-5-pro-2025-10-06"` - - - `"gpt-5.1-codex-max"` - -- `parallel_tool_calls: Optional[bool]` - - Whether to allow the model to run tool calls in parallel. - -- `previous_response_id: Optional[str]` - - The unique ID of the previous response to the model. Use this to - create multi-turn conversations. Learn more about - [conversation state](https://platform.openai.com/docs/guides/conversation-state). Cannot be used in conjunction with `conversation`. - -- `prompt: Optional[ResponsePromptParam]` - - Reference to a prompt template and its variables. - [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). - - - `id: str` - - The unique identifier of the prompt template to use. - - - `variables: Optional[Dict[str, Variables]]` - - Optional map of values to substitute in for variables in your - prompt. The substitution values can either be strings, or other - Response input types like images or files. - - - `str` - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `version: Optional[str]` - - Optional version of the prompt template. - -- `prompt_cache_key: Optional[str]` - - Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the `user` field. [Learn more](https://platform.openai.com/docs/guides/prompt-caching). - -- `prompt_cache_retention: Optional[Literal["in_memory", "24h"]]` - - The retention policy for the prompt cache. Set to `24h` to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. [Learn more](https://platform.openai.com/docs/guides/prompt-caching#prompt-cache-retention). - - - `"in_memory"` - - - `"24h"` - -- `reasoning: Optional[Reasoning]` - - **gpt-5 and o-series models only** - - Configuration options for - [reasoning models](https://platform.openai.com/docs/guides/reasoning). - - - `effort: Optional[ReasoningEffort]` - - Constrains effort on reasoning for - [reasoning models](https://platform.openai.com/docs/guides/reasoning). - Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing - reasoning effort can result in faster responses and fewer tokens used - on reasoning in a response. - - - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. - - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. - - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. - - `xhigh` is supported for all models after `gpt-5.1-codex-max`. - - - `"none"` - - - `"minimal"` - - - `"low"` - - - `"medium"` - - - `"high"` - - - `"xhigh"` - - - `generate_summary: Optional[Literal["auto", "concise", "detailed"]]` - - **Deprecated:** use `summary` instead. - - A summary of the reasoning performed by the model. This can be - useful for debugging and understanding the model's reasoning process. - One of `auto`, `concise`, or `detailed`. - - - `"auto"` - - - `"concise"` - - - `"detailed"` - - - `summary: Optional[Literal["auto", "concise", "detailed"]]` - - A summary of the reasoning performed by the model. This can be - useful for debugging and understanding the model's reasoning process. - One of `auto`, `concise`, or `detailed`. - - `concise` is supported for `computer-use-preview` models and all reasoning models after `gpt-5`. - - - `"auto"` - - - `"concise"` - - - `"detailed"` - -- `safety_identifier: Optional[str]` - - A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. - The IDs should be a string that uniquely identifies each user, with a maximum length of 64 characters. We recommend hashing their username or email address, in order to avoid sending us any identifying information. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). - -- `service_tier: Optional[Literal["auto", "default", "flex", 2 more]]` - - Specifies the processing type used for serving the request. - - - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. - - If set to 'default', then the request will be processed with the standard pricing and performance for the selected model. - - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or '[priority](https://openai.com/api-priority-processing/)', then the request will be processed with the corresponding service tier. - - When not set, the default behavior is 'auto'. - - When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. - - - `"auto"` - - - `"default"` - - - `"flex"` - - - `"scale"` - - - `"priority"` - -- `store: Optional[bool]` - - Whether to store the generated model response for later retrieval via - API. - -- `stream: Optional[Literal[false]]` - - 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 below](https://platform.openai.com/docs/api-reference/responses-streaming) - for more information. - - - `false` - -- `stream_options: Optional[StreamOptions]` - - Options for streaming responses. Only set this when you set `stream: true`. - - - `include_obfuscation: Optional[bool]` - - When true, stream obfuscation will be enabled. Stream obfuscation adds - random characters to an `obfuscation` field on streaming delta events to - normalize payload sizes as a mitigation to certain side-channel attacks. - These obfuscation fields are included by default, but add a small amount - of overhead to the data stream. You can set `include_obfuscation` to - false to optimize for bandwidth if you trust the network links between - your application and the OpenAI API. - -- `temperature: Optional[float]` - - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - We generally recommend altering this or `top_p` but not both. - -- `text: Optional[ResponseTextConfigParam]` - - Configuration options for a text response from the model. Can be plain - text or structured JSON data. Learn more: - - - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) - - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) - - - `format: Optional[ResponseFormatTextConfig]` - - An object specifying the format that the model must output. - - Configuring `{ "type": "json_schema" }` enables Structured Outputs, - which ensures the model will match your supplied JSON schema. Learn more in the - [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - - The default format is `{ "type": "text" }` with no additional options. - - **Not recommended for gpt-4o and newer models:** - - Setting to `{ "type": "json_object" }` enables the older JSON mode, which - ensures the message the model generates is valid JSON. Using `json_schema` - is preferred for models that support it. - - - `class ResponseFormatText: …` - - Default response format. Used to generate text responses. - - - `type: Literal["text"]` - - The type of response format being defined. Always `text`. - - - `"text"` - - - `class ResponseFormatTextJSONSchemaConfig: …` - - JSON Schema response format. Used to generate structured JSON responses. - Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - - - `name: str` - - The name of the response format. Must be a-z, A-Z, 0-9, or contain - underscores and dashes, with a maximum length of 64. - - - `schema: Dict[str, object]` - - The schema for the response format, described as a JSON Schema object. - Learn how to build JSON schemas [here](https://json-schema.org/). - - - `type: Literal["json_schema"]` - - The type of response format being defined. Always `json_schema`. - - - `"json_schema"` - - - `description: Optional[str]` - - A description of what the response format is for, used by the model to - determine how to respond in the format. - - - `strict: Optional[bool]` - - Whether to enable strict schema adherence when generating the output. - If set to true, the model will always follow the exact schema defined - in the `schema` field. Only a subset of JSON Schema is supported when - `strict` is `true`. To learn more, read the [Structured Outputs - guide](https://platform.openai.com/docs/guides/structured-outputs). - - - `class ResponseFormatJSONObject: …` - - JSON object response format. An older method of generating JSON responses. - Using `json_schema` is recommended for models that support it. Note that the - model will not generate JSON without a system or user message instructing it - to do so. - - - `type: Literal["json_object"]` - - The type of response format being defined. Always `json_object`. - - - `"json_object"` - - - `verbosity: Optional[Literal["low", "medium", "high"]]` - - Constrains the verbosity of the model's response. Lower values will result in - more concise responses, while higher values will result in more verbose responses. - Currently supported values are `low`, `medium`, and `high`. - - - `"low"` - - - `"medium"` - - - `"high"` - -- `tool_choice: Optional[ToolChoice]` - - How the model should select which tool (or tools) to use when generating - a response. See the `tools` parameter to see how to specify which tools - the model can call. - - - `Literal["none", "auto", "required"]` - - - `"none"` - - - `"auto"` - - - `"required"` - - - `class ToolChoiceAllowed: …` - - Constrains the tools available to the model to a pre-defined set. - - - `mode: Literal["auto", "required"]` - - Constrains the tools available to the model to a pre-defined set. - - `auto` allows the model to pick from among the allowed tools and generate a - message. - - `required` requires the model to call one or more of the allowed tools. - - - `"auto"` - - - `"required"` - - - `tools: List[Dict[str, object]]` - - A list of tool definitions that the model should be allowed to call. - - For the Responses API, the list of tool definitions might look like: - - ```json - [ - { "type": "function", "name": "get_weather" }, - { "type": "mcp", "server_label": "deepwiki" }, - { "type": "image_generation" } - ] - ``` - - - `type: Literal["allowed_tools"]` - - Allowed tool configuration type. Always `allowed_tools`. - - - `"allowed_tools"` - - - `class ToolChoiceTypes: …` - - Indicates that the model should use a built-in tool to generate a response. - [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools). - - - `type: Literal["file_search", "web_search_preview", "computer", 5 more]` - - The type of hosted tool the model should to use. Learn more about - [built-in tools](https://platform.openai.com/docs/guides/tools). - - Allowed values are: - - - `file_search` - - `web_search_preview` - - `computer` - - `computer_use_preview` - - `computer_use` - - `code_interpreter` - - `image_generation` - - - `"file_search"` - - - `"web_search_preview"` - - - `"computer"` - - - `"computer_use_preview"` - - - `"computer_use"` - - - `"web_search_preview_2025_03_11"` - - - `"image_generation"` - - - `"code_interpreter"` - - - `class ToolChoiceFunction: …` - - Use this option to force the model to call a specific function. - - - `name: str` - - The name of the function to call. - - - `type: Literal["function"]` - - For function calling, the type is always `function`. - - - `"function"` - - - `class ToolChoiceMcp: …` - - Use this option to force the model to call a specific tool on a remote MCP server. - - - `server_label: str` - - The label of the MCP server to use. - - - `type: Literal["mcp"]` - - For MCP tools, the type is always `mcp`. - - - `"mcp"` - - - `name: Optional[str]` - - The name of the tool to call on the server. - - - `class ToolChoiceCustom: …` - - Use this option to force the model to call a specific custom tool. - - - `name: str` - - The name of the custom tool to call. - - - `type: Literal["custom"]` - - For custom tool calling, the type is always `custom`. - - - `"custom"` - - - `class ToolChoiceApplyPatch: …` - - Forces the model to call the apply_patch tool when executing a tool call. - - - `type: Literal["apply_patch"]` - - The tool to call. Always `apply_patch`. - - - `"apply_patch"` - - - `class ToolChoiceShell: …` - - Forces the model to call the shell tool when a tool call is required. - - - `type: Literal["shell"]` - - The tool to call. Always `shell`. - - - `"shell"` - -- `tools: Optional[Iterable[ToolParam]]` - - An array of tools the model may call while generating a response. You - can specify which tool to use by setting the `tool_choice` parameter. - - We support the following categories of tools: - - - **Built-in tools**: Tools that are provided by OpenAI that extend the - model's capabilities, like [web search](https://platform.openai.com/docs/guides/tools-web-search) - or [file search](https://platform.openai.com/docs/guides/tools-file-search). Learn more about - [built-in tools](https://platform.openai.com/docs/guides/tools). - - **MCP Tools**: Integrations with third-party systems via custom MCP servers - or predefined connectors such as Google Drive and SharePoint. Learn more about - [MCP Tools](https://platform.openai.com/docs/guides/tools-connectors-mcp). - - **Function calls (custom tools)**: Functions that are defined by you, - enabling the model to call your own code with strongly typed arguments - and outputs. Learn more about - [function calling](https://platform.openai.com/docs/guides/function-calling). You can also use - custom tools to call your own code. - - - `class FunctionTool: …` - - Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). - - - `class FileSearchTool: …` - - A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search). - - - `class ComputerTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `class ComputerUsePreviewTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `class WebSearchTool: …` - - Search the Internet for sources related to the prompt. Learn more about the - [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `class Mcp: …` - - Give the model access to additional tools via remote Model Context Protocol - (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-mcp). - - - `class CodeInterpreter: …` - - A tool that runs Python code to help generate a response to a prompt. - - - `class ImageGeneration: …` - - A tool that generates images using the GPT image models. - - - `class LocalShell: …` - - A tool that allows the model to execute shell commands in a local environment. - - - `class FunctionShellTool: …` - - A tool that allows the model to execute shell commands. - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `class NamespaceTool: …` - - Groups function/custom tools under a shared namespace. - - - `class ToolSearchTool: …` - - Hosted or BYOT tool search configuration for deferred tools. - - - `class WebSearchPreviewTool: …` - - This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `class ApplyPatchTool: …` - - Allows the assistant to create, delete, or update files using unified diffs. - -- `top_logprobs: Optional[int]` - - An integer between 0 and 20 specifying the maximum number of most likely - tokens to return at each token position, each with an associated log - probability. In some cases, the number of returned tokens may be fewer than - requested. - -- `top_p: Optional[float]` - - An alternative to sampling with temperature, called nucleus sampling, - where the model considers the results of the tokens with top_p probability - mass. So 0.1 means only the tokens comprising the top 10% probability mass - are considered. - - We generally recommend altering this or `temperature` but not both. - -- `truncation: Optional[Literal["auto", "disabled"]]` - - The truncation strategy to use for the model response. - - - `auto`: If the input to this Response exceeds - the model's context window size, the model will truncate the - response to fit the context window by dropping items from the beginning of the conversation. - - `disabled` (default): If the input size will exceed the context window - size for a model, the request will fail with a 400 error. - - - `"auto"` - - - `"disabled"` - -- `user: Optional[str]` - - This field is being replaced by `safety_identifier` and `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching optimizations. - A stable identifier for your end-users. - Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). - -### Returns - -- `class Response: …` - - - `id: str` - - Unique identifier for this Response. - - - `created_at: float` - - Unix timestamp (in seconds) of when this Response was created. - - - `error: Optional[ResponseError]` - - An error object returned when the model fails to generate a Response. - - - `code: Literal["server_error", "rate_limit_exceeded", "invalid_prompt", 15 more]` - - The error code for the response. - - - `"server_error"` - - - `"rate_limit_exceeded"` - - - `"invalid_prompt"` - - - `"vector_store_timeout"` - - - `"invalid_image"` - - - `"invalid_image_format"` - - - `"invalid_base64_image"` - - - `"invalid_image_url"` - - - `"image_too_large"` - - - `"image_too_small"` - - - `"image_parse_error"` - - - `"image_content_policy_violation"` - - - `"invalid_image_mode"` - - - `"image_file_too_large"` - - - `"unsupported_image_media_type"` - - - `"empty_image_file"` - - - `"failed_to_download_image"` - - - `"image_file_not_found"` - - - `message: str` - - A human-readable description of the error. - - - `incomplete_details: Optional[IncompleteDetails]` - - Details about why the response is incomplete. - - - `reason: Optional[Literal["max_output_tokens", "content_filter"]]` - - The reason why the response is incomplete. - - - `"max_output_tokens"` - - - `"content_filter"` - - - `instructions: Union[str, List[ResponseInputItem], null]` - - A system (or developer) message inserted into the model's context. - - When using along with `previous_response_id`, the instructions from a previous - response will not be carried over to the next response. This makes it simple - to swap out system (or developer) messages in new responses. - - - `str` - - A text input to the model, equivalent to a text input with the - `developer` role. - - - `List[ResponseInputItem]` - - A list of one or many input items to the model, containing - different content types. - - - `class EasyInputMessage: …` - - A message input to the model with a role indicating instruction following - hierarchy. Instructions given with the `developer` or `system` role take - precedence over instructions given with the `user` role. Messages with the - `assistant` role are presumed to have been generated by the model in previous - interactions. - - - `content: Union[str, ResponseInputMessageContentList]` - - Text, image, or audio input to the model, used to generate a response. - Can also contain previous assistant responses. - - - `str` - - A text input to the model. - - - `List[ResponseInputContent]` - - - `class ResponseInputText: …` - - A text input to the model. - - - `text: str` - - The text input to the model. - - - `type: Literal["input_text"]` - - The type of the input item. Always `input_text`. - - - `"input_text"` - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `detail: Literal["low", "high", "auto", "original"]` - - The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - - - `"low"` - - - `"high"` - - - `"auto"` - - - `"original"` - - - `type: Literal["input_image"]` - - The type of the input item. Always `input_image`. - - - `"input_image"` - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `image_url: Optional[str]` - - The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. - - - `class ResponseInputFile: …` - - A file input to the model. - - - `type: Literal["input_file"]` - - The type of the input item. Always `input_file`. - - - `"input_file"` - - - `detail: Optional[Literal["low", "high"]]` - - The detail level of the file to be sent to the model. Use `low` for the default rendering behavior, or `high` to render the file at higher quality. Defaults to `low`. - - - `"low"` - - - `"high"` - - - `file_data: Optional[str]` - - The content of the file to be sent to the model. - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `file_url: Optional[str]` - - The URL of the file to be sent to the model. - - - `filename: Optional[str]` - - The name of the file to be sent to the model. - - - `role: Literal["user", "assistant", "system", "developer"]` - - The role of the message input. One of `user`, `assistant`, `system`, or - `developer`. - - - `"user"` - - - `"assistant"` - - - `"system"` - - - `"developer"` - - - `phase: Optional[Literal["commentary", "final_answer"]]` - - Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`). - For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend - phase on all assistant messages — dropping it can degrade performance. Not used for user messages. - - - `"commentary"` - - - `"final_answer"` - - - `type: Optional[Literal["message"]]` - - The type of the message input. Always `message`. - - - `"message"` - - - `class Message: …` - - A message input to the model with a role indicating instruction following - hierarchy. Instructions given with the `developer` or `system` role take - precedence over instructions given with the `user` role. - - - `content: ResponseInputMessageContentList` - - A list of one or many input items to the model, containing different content - types. - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `role: Literal["user", "system", "developer"]` - - The role of the message input. One of `user`, `system`, or `developer`. - - - `"user"` - - - `"system"` - - - `"developer"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Optional[Literal["message"]]` - - The type of the message input. Always set to `message`. - - - `"message"` - - - `class ResponseOutputMessage: …` - - An output message from the model. - - - `id: str` - - The unique ID of the output message. - - - `content: List[Content]` - - The content of the output message. - - - `class ResponseOutputText: …` - - A text output from the model. - - - `annotations: List[Annotation]` - - The annotations of the text output. - - - `class AnnotationFileCitation: …` - - A citation to a file. - - - `file_id: str` - - The ID of the file. - - - `filename: str` - - The filename of the file cited. - - - `index: int` - - The index of the file in the list of files. - - - `type: Literal["file_citation"]` - - The type of the file citation. Always `file_citation`. - - - `"file_citation"` - - - `class AnnotationURLCitation: …` - - A citation for a web resource used to generate a model response. - - - `end_index: int` - - The index of the last character of the URL citation in the message. - - - `start_index: int` - - The index of the first character of the URL citation in the message. - - - `title: str` - - The title of the web resource. - - - `type: Literal["url_citation"]` - - The type of the URL citation. Always `url_citation`. - - - `"url_citation"` - - - `url: str` - - The URL of the web resource. - - - `class AnnotationContainerFileCitation: …` - - A citation for a container file used to generate a model response. - - - `container_id: str` - - The ID of the container file. - - - `end_index: int` - - The index of the last character of the container file citation in the message. - - - `file_id: str` - - The ID of the file. - - - `filename: str` - - The filename of the container file cited. - - - `start_index: int` - - The index of the first character of the container file citation in the message. - - - `type: Literal["container_file_citation"]` - - The type of the container file citation. Always `container_file_citation`. - - - `"container_file_citation"` - - - `class AnnotationFilePath: …` - - A path to a file. - - - `file_id: str` - - The ID of the file. - - - `index: int` - - The index of the file in the list of files. - - - `type: Literal["file_path"]` - - The type of the file path. Always `file_path`. - - - `"file_path"` - - - `text: str` - - The text output from the model. - - - `type: Literal["output_text"]` - - The type of the output text. Always `output_text`. - - - `"output_text"` - - - `logprobs: Optional[List[Logprob]]` - - - `token: str` - - - `bytes: List[int]` - - - `logprob: float` - - - `top_logprobs: List[LogprobTopLogprob]` - - - `token: str` - - - `bytes: List[int]` - - - `logprob: float` - - - `class ResponseOutputRefusal: …` - - A refusal from the model. - - - `refusal: str` - - The refusal explanation from the model. - - - `type: Literal["refusal"]` - - The type of the refusal. Always `refusal`. - - - `"refusal"` - - - `role: Literal["assistant"]` - - The role of the output message. Always `assistant`. - - - `"assistant"` - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the message input. One of `in_progress`, `completed`, or - `incomplete`. Populated when input items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["message"]` - - The type of the output message. Always `message`. - - - `"message"` - - - `phase: Optional[Literal["commentary", "final_answer"]]` - - Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`). - For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend - phase on all assistant messages — dropping it can degrade performance. Not used for user messages. - - - `"commentary"` - - - `"final_answer"` - - - `class ResponseFileSearchToolCall: …` - - The results of a file search tool call. See the - [file search guide](https://platform.openai.com/docs/guides/tools-file-search) for more information. - - - `id: str` - - The unique ID of the file search tool call. - - - `queries: List[str]` - - The queries used to search for files. - - - `status: Literal["in_progress", "searching", "completed", 2 more]` - - The status of the file search tool call. One of `in_progress`, - `searching`, `incomplete` or `failed`, - - - `"in_progress"` - - - `"searching"` - - - `"completed"` - - - `"incomplete"` - - - `"failed"` - - - `type: Literal["file_search_call"]` - - The type of the file search tool call. Always `file_search_call`. - - - `"file_search_call"` - - - `results: Optional[List[Result]]` - - The results of the file search tool call. - - - `attributes: Optional[Dict[str, Union[str, float, bool]]]` - - Set of 16 key-value pairs that can be attached to an object. This can be - useful for storing additional information about the object in a structured - format, and querying for objects via API or the dashboard. Keys are strings - with a maximum length of 64 characters. Values are strings with a maximum - length of 512 characters, booleans, or numbers. - - - `str` - - - `float` - - - `bool` - - - `file_id: Optional[str]` - - The unique ID of the file. - - - `filename: Optional[str]` - - The name of the file. - - - `score: Optional[float]` - - The relevance score of the file - a value between 0 and 1. - - - `text: Optional[str]` - - The text that was retrieved from the file. - - - `class ResponseComputerToolCall: …` - - A tool call to a computer use tool. See the - [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use) for more information. - - - `id: str` - - The unique ID of the computer call. - - - `call_id: str` - - An identifier used when responding to the tool call with output. - - - `pending_safety_checks: List[PendingSafetyCheck]` - - The pending safety checks for the computer call. - - - `id: str` - - The ID of the pending safety check. - - - `code: Optional[str]` - - The type of the pending safety check. - - - `message: Optional[str]` - - Details about the pending safety check. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["computer_call"]` - - The type of the computer call. Always `computer_call`. - - - `"computer_call"` - - - `action: Optional[Action]` - - A click action. - - - `class ActionClick: …` - - A click action. - - - `button: Literal["left", "right", "wheel", 2 more]` - - Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. - - - `"left"` - - - `"right"` - - - `"wheel"` - - - `"back"` - - - `"forward"` - - - `type: Literal["click"]` - - Specifies the event type. For a click action, this property is always `click`. - - - `"click"` - - - `x: int` - - The x-coordinate where the click occurred. - - - `y: int` - - The y-coordinate where the click occurred. - - - `keys: Optional[List[str]]` - - The keys being held while clicking. - - - `class ActionDoubleClick: …` - - A double click action. - - - `keys: Optional[List[str]]` - - The keys being held while double-clicking. - - - `type: Literal["double_click"]` - - Specifies the event type. For a double click action, this property is always set to `double_click`. - - - `"double_click"` - - - `x: int` - - The x-coordinate where the double click occurred. - - - `y: int` - - The y-coordinate where the double click occurred. - - - `class ActionDrag: …` - - A drag action. - - - `path: List[ActionDragPath]` - - An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg - - ``` - [ - { x: 100, y: 200 }, - { x: 200, y: 300 } - ] - ``` - - - `x: int` - - The x-coordinate. - - - `y: int` - - The y-coordinate. - - - `type: Literal["drag"]` - - Specifies the event type. For a drag action, this property is always set to `drag`. - - - `"drag"` - - - `keys: Optional[List[str]]` - - The keys being held while dragging the mouse. - - - `class ActionKeypress: …` - - A collection of keypresses the model would like to perform. - - - `keys: List[str]` - - The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. - - - `type: Literal["keypress"]` - - Specifies the event type. For a keypress action, this property is always set to `keypress`. - - - `"keypress"` - - - `class ActionMove: …` - - A mouse move action. - - - `type: Literal["move"]` - - Specifies the event type. For a move action, this property is always set to `move`. - - - `"move"` - - - `x: int` - - The x-coordinate to move to. - - - `y: int` - - The y-coordinate to move to. - - - `keys: Optional[List[str]]` - - The keys being held while moving the mouse. - - - `class ActionScreenshot: …` - - A screenshot action. - - - `type: Literal["screenshot"]` - - Specifies the event type. For a screenshot action, this property is always set to `screenshot`. - - - `"screenshot"` - - - `class ActionScroll: …` - - A scroll action. - - - `scroll_x: int` - - The horizontal scroll distance. - - - `scroll_y: int` - - The vertical scroll distance. - - - `type: Literal["scroll"]` - - Specifies the event type. For a scroll action, this property is always set to `scroll`. - - - `"scroll"` - - - `x: int` - - The x-coordinate where the scroll occurred. - - - `y: int` - - The y-coordinate where the scroll occurred. - - - `keys: Optional[List[str]]` - - The keys being held while scrolling. - - - `class ActionType: …` - - An action to type in text. - - - `text: str` - - The text to type. - - - `type: Literal["type"]` - - Specifies the event type. For a type action, this property is always set to `type`. - - - `"type"` - - - `class ActionWait: …` - - A wait action. - - - `type: Literal["wait"]` - - Specifies the event type. For a wait action, this property is always set to `wait`. - - - `"wait"` - - - `actions: Optional[ComputerActionList]` - - Flattened batched actions for `computer_use`. Each action includes an - `type` discriminator and action-specific fields. - - - `class Click: …` - - A click action. - - - `button: Literal["left", "right", "wheel", 2 more]` - - Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. - - - `"left"` - - - `"right"` - - - `"wheel"` - - - `"back"` - - - `"forward"` - - - `type: Literal["click"]` - - Specifies the event type. For a click action, this property is always `click`. - - - `"click"` - - - `x: int` - - The x-coordinate where the click occurred. - - - `y: int` - - The y-coordinate where the click occurred. - - - `keys: Optional[List[str]]` - - The keys being held while clicking. - - - `class DoubleClick: …` - - A double click action. - - - `keys: Optional[List[str]]` - - The keys being held while double-clicking. - - - `type: Literal["double_click"]` - - Specifies the event type. For a double click action, this property is always set to `double_click`. - - - `"double_click"` - - - `x: int` - - The x-coordinate where the double click occurred. - - - `y: int` - - The y-coordinate where the double click occurred. - - - `class Drag: …` - - A drag action. - - - `path: List[DragPath]` - - An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg - - ``` - [ - { x: 100, y: 200 }, - { x: 200, y: 300 } - ] - ``` - - - `x: int` - - The x-coordinate. - - - `y: int` - - The y-coordinate. - - - `type: Literal["drag"]` - - Specifies the event type. For a drag action, this property is always set to `drag`. - - - `"drag"` - - - `keys: Optional[List[str]]` - - The keys being held while dragging the mouse. - - - `class Keypress: …` - - A collection of keypresses the model would like to perform. - - - `keys: List[str]` - - The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. - - - `type: Literal["keypress"]` - - Specifies the event type. For a keypress action, this property is always set to `keypress`. - - - `"keypress"` - - - `class Move: …` - - A mouse move action. - - - `type: Literal["move"]` - - Specifies the event type. For a move action, this property is always set to `move`. - - - `"move"` - - - `x: int` - - The x-coordinate to move to. - - - `y: int` - - The y-coordinate to move to. - - - `keys: Optional[List[str]]` - - The keys being held while moving the mouse. - - - `class Screenshot: …` - - A screenshot action. - - - `type: Literal["screenshot"]` - - Specifies the event type. For a screenshot action, this property is always set to `screenshot`. - - - `"screenshot"` - - - `class Scroll: …` - - A scroll action. - - - `scroll_x: int` - - The horizontal scroll distance. - - - `scroll_y: int` - - The vertical scroll distance. - - - `type: Literal["scroll"]` - - Specifies the event type. For a scroll action, this property is always set to `scroll`. - - - `"scroll"` - - - `x: int` - - The x-coordinate where the scroll occurred. - - - `y: int` - - The y-coordinate where the scroll occurred. - - - `keys: Optional[List[str]]` - - The keys being held while scrolling. - - - `class Type: …` - - An action to type in text. - - - `text: str` - - The text to type. - - - `type: Literal["type"]` - - Specifies the event type. For a type action, this property is always set to `type`. - - - `"type"` - - - `class Wait: …` - - A wait action. - - - `type: Literal["wait"]` - - Specifies the event type. For a wait action, this property is always set to `wait`. - - - `"wait"` - - - `class ComputerCallOutput: …` - - The output of a computer tool call. - - - `call_id: str` - - The ID of the computer tool call that produced the output. - - - `output: ResponseComputerToolCallOutputScreenshot` - - A computer screenshot image used with the computer use tool. - - - `type: Literal["computer_screenshot"]` - - Specifies the event type. For a computer screenshot, this property is - always set to `computer_screenshot`. - - - `"computer_screenshot"` - - - `file_id: Optional[str]` - - The identifier of an uploaded file that contains the screenshot. - - - `image_url: Optional[str]` - - The URL of the screenshot image. - - - `type: Literal["computer_call_output"]` - - The type of the computer tool call output. Always `computer_call_output`. - - - `"computer_call_output"` - - - `id: Optional[str]` - - The ID of the computer tool call output. - - - `acknowledged_safety_checks: Optional[List[ComputerCallOutputAcknowledgedSafetyCheck]]` - - The safety checks reported by the API that have been acknowledged by the developer. - - - `id: str` - - The ID of the pending safety check. - - - `code: Optional[str]` - - The type of the pending safety check. - - - `message: Optional[str]` - - Details about the pending safety check. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseFunctionWebSearch: …` - - The results of a web search tool call. See the - [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for more information. - - - `id: str` - - The unique ID of the web search tool call. - - - `action: Action` - - An object describing the specific action taken in this web search call. - Includes details on how the model used the web (search, open_page, find_in_page). - - - `class ActionSearch: …` - - Action type "search" - Performs a web search query. - - - `query: str` - - [DEPRECATED] The search query. - - - `type: Literal["search"]` - - The action type. - - - `"search"` - - - `queries: Optional[List[str]]` - - The search queries. - - - `sources: Optional[List[ActionSearchSource]]` - - The sources used in the search. - - - `type: Literal["url"]` - - The type of source. Always `url`. - - - `"url"` - - - `url: str` - - The URL of the source. - - - `class ActionOpenPage: …` - - Action type "open_page" - Opens a specific URL from search results. - - - `type: Literal["open_page"]` - - The action type. - - - `"open_page"` - - - `url: Optional[str]` - - The URL opened by the model. - - - `class ActionFindInPage: …` - - Action type "find_in_page": Searches for a pattern within a loaded page. - - - `pattern: str` - - The pattern or text to search for within the page. - - - `type: Literal["find_in_page"]` - - The action type. - - - `"find_in_page"` - - - `url: str` - - The URL of the page searched for the pattern. - - - `status: Literal["in_progress", "searching", "completed", "failed"]` - - The status of the web search tool call. - - - `"in_progress"` - - - `"searching"` - - - `"completed"` - - - `"failed"` - - - `type: Literal["web_search_call"]` - - The type of the web search tool call. Always `web_search_call`. - - - `"web_search_call"` - - - `class ResponseFunctionToolCall: …` - - A tool call to run a function. See the - [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. - - - `arguments: str` - - A JSON string of the arguments to pass to the function. - - - `call_id: str` - - The unique ID of the function tool call generated by the model. - - - `name: str` - - The name of the function to run. - - - `type: Literal["function_call"]` - - The type of the function tool call. Always `function_call`. - - - `"function_call"` - - - `id: Optional[str]` - - The unique ID of the function tool call. - - - `namespace: Optional[str]` - - The namespace of the function to run. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class FunctionCallOutput: …` - - The output of a function tool call. - - - `call_id: str` - - The unique ID of the function tool call generated by the model. - - - `output: Union[str, ResponseFunctionCallOutputItemList]` - - Text, image, or file output of the function tool call. - - - `str` - - A JSON string of the output of the function tool call. - - - `List[ResponseFunctionCallOutputItem]` - - - `class ResponseInputTextContent: …` - - A text input to the model. - - - `text: str` - - The text input to the model. - - - `type: Literal["input_text"]` - - The type of the input item. Always `input_text`. - - - `"input_text"` - - - `class ResponseInputImageContent: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision) - - - `type: Literal["input_image"]` - - The type of the input item. Always `input_image`. - - - `"input_image"` - - - `detail: Optional[Literal["low", "high", "auto", "original"]]` - - The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - - - `"low"` - - - `"high"` - - - `"auto"` - - - `"original"` - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `image_url: Optional[str]` - - The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. - - - `class ResponseInputFileContent: …` - - A file input to the model. - - - `type: Literal["input_file"]` - - The type of the input item. Always `input_file`. - - - `"input_file"` - - - `detail: Optional[Literal["low", "high"]]` - - The detail level of the file to be sent to the model. Use `low` for the default rendering behavior, or `high` to render the file at higher quality. Defaults to `low`. - - - `"low"` - - - `"high"` - - - `file_data: Optional[str]` - - The base64-encoded data of the file to be sent to the model. - - - `file_id: Optional[str]` - - The ID of the file to be sent to the model. - - - `file_url: Optional[str]` - - The URL of the file to be sent to the model. - - - `filename: Optional[str]` - - The name of the file to be sent to the model. - - - `type: Literal["function_call_output"]` - - The type of the function tool call output. Always `function_call_output`. - - - `"function_call_output"` - - - `id: Optional[str]` - - The unique ID of the function tool call output. Populated when this item is returned via API. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ToolSearchCall: …` - - - `arguments: object` - - The arguments supplied to the tool search call. - - - `type: Literal["tool_search_call"]` - - The item type. Always `tool_search_call`. - - - `"tool_search_call"` - - - `id: Optional[str]` - - The unique ID of this tool search call. - - - `call_id: Optional[str]` - - The unique ID of the tool search call generated by the model. - - - `execution: Optional[Literal["server", "client"]]` - - Whether tool search was executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the tool search call. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseToolSearchOutputItemParam: …` - - - `tools: List[Tool]` - - The loaded tool definitions returned by the tool search output. - - - `class FunctionTool: …` - - Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). - - - `name: str` - - The name of the function to call. - - - `parameters: Optional[Dict[str, object]]` - - A JSON schema object describing the parameters of the function. - - - `strict: Optional[bool]` - - Whether to enforce strict parameter validation. Default `true`. - - - `type: Literal["function"]` - - The type of the function tool. Always `function`. - - - `"function"` - - - `defer_loading: Optional[bool]` - - Whether this function is deferred and loaded via tool search. - - - `description: Optional[str]` - - A description of the function. Used by the model to determine whether or not to call the function. - - - `class FileSearchTool: …` - - A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search). - - - `type: Literal["file_search"]` - - The type of the file search tool. Always `file_search`. - - - `"file_search"` - - - `vector_store_ids: List[str]` - - The IDs of the vector stores to search. - - - `filters: Optional[Filters]` - - A filter to apply. - - - `class ComparisonFilter: …` - - A filter used to compare a specified attribute key to a given value using a defined comparison operation. - - - `key: str` - - The key to compare against the value. - - - `type: Literal["eq", "ne", "gt", 5 more]` - - Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`. - - - `eq`: equals - - `ne`: not equal - - `gt`: greater than - - `gte`: greater than or equal - - `lt`: less than - - `lte`: less than or equal - - `in`: in - - `nin`: not in - - - `"eq"` - - - `"ne"` - - - `"gt"` - - - `"gte"` - - - `"lt"` - - - `"lte"` - - - `"in"` - - - `"nin"` - - - `value: Union[str, float, bool, List[Union[str, float]]]` - - The value to compare against the attribute key; supports string, number, or boolean types. - - - `str` - - - `float` - - - `bool` - - - `List[Union[str, float]]` - - - `str` - - - `float` - - - `class CompoundFilter: …` - - Combine multiple filters using `and` or `or`. - - - `filters: List[Filter]` - - Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. - - - `class ComparisonFilter: …` - - A filter used to compare a specified attribute key to a given value using a defined comparison operation. - - - `object` - - - `type: Literal["and", "or"]` - - Type of operation: `and` or `or`. - - - `"and"` - - - `"or"` - - - `max_num_results: Optional[int]` - - The maximum number of results to return. This number should be between 1 and 50 inclusive. - - - `ranking_options: Optional[RankingOptions]` - - Ranking options for search. - - - `hybrid_search: Optional[RankingOptionsHybridSearch]` - - Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled. - - - `embedding_weight: float` - - The weight of the embedding in the reciprocal ranking fusion. - - - `text_weight: float` - - The weight of the text in the reciprocal ranking fusion. - - - `ranker: Optional[Literal["auto", "default-2024-11-15"]]` - - The ranker to use for the file search. - - - `"auto"` - - - `"default-2024-11-15"` - - - `score_threshold: Optional[float]` - - The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results. - - - `class ComputerTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `type: Literal["computer"]` - - The type of the computer tool. Always `computer`. - - - `"computer"` - - - `class ComputerUsePreviewTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `display_height: int` - - The height of the computer display. - - - `display_width: int` - - The width of the computer display. - - - `environment: Literal["windows", "mac", "linux", 2 more]` - - The type of computer environment to control. - - - `"windows"` - - - `"mac"` - - - `"linux"` - - - `"ubuntu"` - - - `"browser"` - - - `type: Literal["computer_use_preview"]` - - The type of the computer use tool. Always `computer_use_preview`. - - - `"computer_use_preview"` - - - `class WebSearchTool: …` - - Search the Internet for sources related to the prompt. Learn more about the - [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `type: Literal["web_search", "web_search_2025_08_26"]` - - The type of the web search tool. One of `web_search` or `web_search_2025_08_26`. - - - `"web_search"` - - - `"web_search_2025_08_26"` - - - `filters: Optional[Filters]` - - Filters for the search. - - - `allowed_domains: Optional[List[str]]` - - Allowed domains for the search. If not provided, all domains are allowed. - Subdomains of the provided domains are allowed as well. - - Example: `["pubmed.ncbi.nlm.nih.gov"]` - - - `search_context_size: Optional[Literal["low", "medium", "high"]]` - - High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `user_location: Optional[UserLocation]` - - The approximate location of the user. - - - `city: Optional[str]` - - Free text input for the city of the user, e.g. `San Francisco`. - - - `country: Optional[str]` - - The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. - - - `region: Optional[str]` - - Free text input for the region of the user, e.g. `California`. - - - `timezone: Optional[str]` - - The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. - - - `type: Optional[Literal["approximate"]]` - - The type of location approximation. Always `approximate`. - - - `"approximate"` - - - `class Mcp: …` - - Give the model access to additional tools via remote Model Context Protocol - (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-mcp). - - - `server_label: str` - - A label for this MCP server, used to identify it in tool calls. - - - `type: Literal["mcp"]` - - The type of the MCP tool. Always `mcp`. - - - `"mcp"` - - - `allowed_tools: Optional[McpAllowedTools]` - - List of allowed tool names or a filter object. - - - `List[str]` - - A string array of allowed tool names - - - `class McpAllowedToolsMcpToolFilter: …` - - A filter object to specify which tools are allowed. - - - `read_only: Optional[bool]` - - Indicates whether or not a tool modifies data or is read-only. If an - MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), - it will match this filter. - - - `tool_names: Optional[List[str]]` - - List of allowed tool names. - - - `authorization: Optional[str]` - - An OAuth access token that can be used with a remote MCP server, either - with a custom MCP server URL or a service connector. Your application - must handle the OAuth authorization flow and provide the token here. - - - `connector_id: Optional[Literal["connector_dropbox", "connector_gmail", "connector_googlecalendar", 5 more]]` - - Identifier for service connectors, like those available in ChatGPT. One of - `server_url` or `connector_id` must be provided. Learn more about service - connectors [here](https://platform.openai.com/docs/guides/tools-remote-mcp#connectors). - - Currently supported `connector_id` values are: - - - Dropbox: `connector_dropbox` - - Gmail: `connector_gmail` - - Google Calendar: `connector_googlecalendar` - - Google Drive: `connector_googledrive` - - Microsoft Teams: `connector_microsoftteams` - - Outlook Calendar: `connector_outlookcalendar` - - Outlook Email: `connector_outlookemail` - - SharePoint: `connector_sharepoint` - - - `"connector_dropbox"` - - - `"connector_gmail"` - - - `"connector_googlecalendar"` - - - `"connector_googledrive"` - - - `"connector_microsoftteams"` - - - `"connector_outlookcalendar"` - - - `"connector_outlookemail"` - - - `"connector_sharepoint"` - - - `defer_loading: Optional[bool]` - - Whether this MCP tool is deferred and discovered via tool search. - - - `headers: Optional[Dict[str, str]]` - - Optional HTTP headers to send to the MCP server. Use for authentication - or other purposes. - - - `require_approval: Optional[McpRequireApproval]` - - Specify which of the MCP server's tools require approval. - - - `class McpRequireApprovalMcpToolApprovalFilter: …` - - Specify which of the MCP server's tools require approval. Can be - `always`, `never`, or a filter object associated with tools - that require approval. - - - `always: Optional[McpRequireApprovalMcpToolApprovalFilterAlways]` - - A filter object to specify which tools are allowed. - - - `read_only: Optional[bool]` - - Indicates whether or not a tool modifies data or is read-only. If an - MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), - it will match this filter. - - - `tool_names: Optional[List[str]]` - - List of allowed tool names. - - - `never: Optional[McpRequireApprovalMcpToolApprovalFilterNever]` - - A filter object to specify which tools are allowed. - - - `read_only: Optional[bool]` - - Indicates whether or not a tool modifies data or is read-only. If an - MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), - it will match this filter. - - - `tool_names: Optional[List[str]]` - - List of allowed tool names. - - - `Literal["always", "never"]` - - Specify a single approval policy for all tools. One of `always` or - `never`. When set to `always`, all tools will require approval. When - set to `never`, all tools will not require approval. - - - `"always"` - - - `"never"` - - - `server_description: Optional[str]` - - Optional description of the MCP server, used to provide more context. - - - `server_url: Optional[str]` - - The URL for the MCP server. One of `server_url` or `connector_id` must be - provided. - - - `class CodeInterpreter: …` - - A tool that runs Python code to help generate a response to a prompt. - - - `container: CodeInterpreterContainer` - - The code interpreter container. Can be a container ID or an object that - specifies uploaded file IDs to make available to your code, along with an - optional `memory_limit` setting. - - - `str` - - The container ID. - - - `class CodeInterpreterContainerCodeInterpreterToolAuto: …` - - Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on. - - - `type: Literal["auto"]` - - Always `auto`. - - - `"auto"` - - - `file_ids: Optional[List[str]]` - - An optional list of uploaded files to make available to your code. - - - `memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]` - - The memory limit for the code interpreter container. - - - `"1g"` - - - `"4g"` - - - `"16g"` - - - `"64g"` - - - `network_policy: Optional[CodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicy]` - - Network access policy for the container. - - - `class ContainerNetworkPolicyDisabled: …` - - - `type: Literal["disabled"]` - - Disable outbound network access. Always `disabled`. - - - `"disabled"` - - - `class ContainerNetworkPolicyAllowlist: …` - - - `allowed_domains: List[str]` - - A list of allowed domains when type is `allowlist`. - - - `type: Literal["allowlist"]` - - Allow outbound network access only to specified domains. Always `allowlist`. - - - `"allowlist"` - - - `domain_secrets: Optional[List[ContainerNetworkPolicyDomainSecret]]` - - Optional domain-scoped secrets for allowlisted domains. - - - `domain: str` - - The domain associated with the secret. - - - `name: str` - - The name of the secret to inject for the domain. - - - `value: str` - - The secret value to inject for the domain. - - - `type: Literal["code_interpreter"]` - - The type of the code interpreter tool. Always `code_interpreter`. - - - `"code_interpreter"` - - - `class ImageGeneration: …` - - A tool that generates images using the GPT image models. - - - `type: Literal["image_generation"]` - - The type of the image generation tool. Always `image_generation`. - - - `"image_generation"` - - - `action: Optional[Literal["generate", "edit", "auto"]]` - - Whether to generate a new image or edit an existing image. Default: `auto`. - - - `"generate"` - - - `"edit"` - - - `"auto"` - - - `background: Optional[Literal["transparent", "opaque", "auto"]]` - - Allows to set transparency for the background of the generated image(s). - This parameter is only supported for GPT image models that support - transparent backgrounds. Must be one of `transparent`, `opaque`, or - `auto` (default value). When `auto` is used, the model will - automatically determine the best background for the image. - - `gpt-image-2` and `gpt-image-2-2026-04-21` do not support - transparent backgrounds. Requests with `background` set to - `transparent` will return an error for these models; use `opaque` or - `auto` instead. - - If `transparent`, the output format needs to support transparency, - so it should be set to either `png` (default value) or `webp`. - - - `"transparent"` - - - `"opaque"` - - - `"auto"` - - - `input_fidelity: Optional[Literal["high", "low"]]` - - Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`. - - - `"high"` - - - `"low"` - - - `input_image_mask: Optional[ImageGenerationInputImageMask]` - - Optional mask for inpainting. Contains `image_url` - (string, optional) and `file_id` (string, optional). - - - `file_id: Optional[str]` - - File ID for the mask image. - - - `image_url: Optional[str]` - - Base64-encoded mask image. - - - `model: Optional[Union[str, Literal["gpt-image-1", "gpt-image-1-mini", "gpt-image-2", 3 more], null]]` - - The image generation model to use. Default: `gpt-image-1`. - - - `str` - - - `Literal["gpt-image-1", "gpt-image-1-mini", "gpt-image-2", 3 more]` - - The image generation model to use. Default: `gpt-image-1`. - - - `"gpt-image-1"` - - - `"gpt-image-1-mini"` - - - `"gpt-image-2"` - - - `"gpt-image-2-2026-04-21"` - - - `"gpt-image-1.5"` - - - `"chatgpt-image-latest"` - - - `moderation: Optional[Literal["auto", "low"]]` - - Moderation level for the generated image. Default: `auto`. - - - `"auto"` - - - `"low"` - - - `output_compression: Optional[int]` - - Compression level for the output image. Default: 100. - - - `output_format: Optional[Literal["png", "webp", "jpeg"]]` - - The output format of the generated image. One of `png`, `webp`, or - `jpeg`. Default: `png`. - - - `"png"` - - - `"webp"` - - - `"jpeg"` - - - `partial_images: Optional[int]` - - Number of partial images to generate in streaming mode, from 0 (default value) to 3. - - - `quality: Optional[Literal["low", "medium", "high", "auto"]]` - - The quality of the generated image. One of `low`, `medium`, `high`, - or `auto`. Default: `auto`. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `"auto"` - - - `size: Optional[Union[str, Literal["1024x1024", "1024x1536", "1536x1024", "auto"], null]]` - - The size of the generated images. For `gpt-image-2` and `gpt-image-2-2026-04-21`, arbitrary resolutions are supported as `WIDTHxHEIGHT` strings, for example `1536x864`. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above `2560x1440` are experimental, and the maximum supported resolution is `3840x2160`. The requested size must also satisfy the model's current pixel and edge limits. The standard sizes `1024x1024`, `1536x1024`, and `1024x1536` are supported by the GPT image models; `auto` is supported for models that allow automatic sizing. For `dall-e-2`, use one of `256x256`, `512x512`, or `1024x1024`. For `dall-e-3`, use one of `1024x1024`, `1792x1024`, or `1024x1792`. - - - `str` - - - `Literal["1024x1024", "1024x1536", "1536x1024", "auto"]` - - The size of the generated images. For `gpt-image-2` and `gpt-image-2-2026-04-21`, arbitrary resolutions are supported as `WIDTHxHEIGHT` strings, for example `1536x864`. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above `2560x1440` are experimental, and the maximum supported resolution is `3840x2160`. The requested size must also satisfy the model's current pixel and edge limits. The standard sizes `1024x1024`, `1536x1024`, and `1024x1536` are supported by the GPT image models; `auto` is supported for models that allow automatic sizing. For `dall-e-2`, use one of `256x256`, `512x512`, or `1024x1024`. For `dall-e-3`, use one of `1024x1024`, `1792x1024`, or `1024x1792`. - - - `"1024x1024"` - - - `"1024x1536"` - - - `"1536x1024"` - - - `"auto"` - - - `class LocalShell: …` - - A tool that allows the model to execute shell commands in a local environment. - - - `type: Literal["local_shell"]` - - The type of the local shell tool. Always `local_shell`. - - - `"local_shell"` - - - `class FunctionShellTool: …` - - A tool that allows the model to execute shell commands. - - - `type: Literal["shell"]` - - The type of the shell tool. Always `shell`. - - - `"shell"` - - - `environment: Optional[Environment]` - - - `class ContainerAuto: …` - - - `type: Literal["container_auto"]` - - Automatically creates a container for this request - - - `"container_auto"` - - - `file_ids: Optional[List[str]]` - - An optional list of uploaded files to make available to your code. - - - `memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]]` - - The memory limit for the container. - - - `"1g"` - - - `"4g"` - - - `"16g"` - - - `"64g"` - - - `network_policy: Optional[NetworkPolicy]` - - Network access policy for the container. - - - `class ContainerNetworkPolicyDisabled: …` - - - `class ContainerNetworkPolicyAllowlist: …` - - - `skills: Optional[List[Skill]]` - - An optional list of skills referenced by id or inline data. - - - `class SkillReference: …` - - - `skill_id: str` - - The ID of the referenced skill. - - - `type: Literal["skill_reference"]` - - References a skill created with the /v1/skills endpoint. - - - `"skill_reference"` - - - `version: Optional[str]` - - Optional skill version. Use a positive integer or 'latest'. Omit for default. - - - `class InlineSkill: …` - - - `description: str` - - The description of the skill. - - - `name: str` - - The name of the skill. - - - `source: InlineSkillSource` - - Inline skill payload - - - `data: str` - - Base64-encoded skill zip bundle. - - - `media_type: Literal["application/zip"]` - - The media type of the inline skill payload. Must be `application/zip`. - - - `"application/zip"` - - - `type: Literal["base64"]` - - The type of the inline skill source. Must be `base64`. - - - `"base64"` - - - `type: Literal["inline"]` - - Defines an inline skill for this request. - - - `"inline"` - - - `class LocalEnvironment: …` - - - `type: Literal["local"]` - - Use a local computer environment. - - - `"local"` - - - `skills: Optional[List[LocalSkill]]` - - An optional list of skills. - - - `description: str` - - The description of the skill. - - - `name: str` - - The name of the skill. - - - `path: str` - - The path to the directory containing the skill. - - - `class ContainerReference: …` - - - `container_id: str` - - The ID of the referenced container. - - - `type: Literal["container_reference"]` - - References a container created with the /v1/containers endpoint - - - `"container_reference"` - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `name: str` - - The name of the custom tool, used to identify it in tool calls. - - - `type: Literal["custom"]` - - The type of the custom tool. Always `custom`. - - - `"custom"` - - - `defer_loading: Optional[bool]` - - Whether this tool should be deferred and discovered via tool search. - - - `description: Optional[str]` - - Optional description of the custom tool, used to provide more context. - - - `format: Optional[CustomToolInputFormat]` - - The input format for the custom tool. Default is unconstrained text. - - - `class Text: …` - - Unconstrained free-form text. - - - `type: Literal["text"]` - - Unconstrained text format. Always `text`. - - - `"text"` - - - `class Grammar: …` - - A grammar defined by the user. - - - `definition: str` - - The grammar definition. - - - `syntax: Literal["lark", "regex"]` - - The syntax of the grammar definition. One of `lark` or `regex`. - - - `"lark"` - - - `"regex"` - - - `type: Literal["grammar"]` - - Grammar format. Always `grammar`. - - - `"grammar"` - - - `class NamespaceTool: …` - - Groups function/custom tools under a shared namespace. - - - `description: str` - - A description of the namespace shown to the model. - - - `name: str` - - The namespace name used in tool calls (for example, `crm`). - - - `tools: List[Tool]` - - The function/custom tools available inside this namespace. - - - `class ToolFunction: …` - - - `name: str` - - - `type: Literal["function"]` - - - `"function"` - - - `defer_loading: Optional[bool]` - - Whether this function should be deferred and discovered via tool search. - - - `description: Optional[str]` - - - `parameters: Optional[object]` - - - `strict: Optional[bool]` - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `type: Literal["namespace"]` - - The type of the tool. Always `namespace`. - - - `"namespace"` - - - `class ToolSearchTool: …` - - Hosted or BYOT tool search configuration for deferred tools. - - - `type: Literal["tool_search"]` - - The type of the tool. Always `tool_search`. - - - `"tool_search"` - - - `description: Optional[str]` - - Description shown to the model for a client-executed tool search tool. - - - `execution: Optional[Literal["server", "client"]]` - - Whether tool search is executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `parameters: Optional[object]` - - Parameter schema for a client-executed tool search tool. - - - `class WebSearchPreviewTool: …` - - This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `type: Literal["web_search_preview", "web_search_preview_2025_03_11"]` - - The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`. - - - `"web_search_preview"` - - - `"web_search_preview_2025_03_11"` - - - `search_content_types: Optional[List[Literal["text", "image"]]]` - - - `"text"` - - - `"image"` - - - `search_context_size: Optional[Literal["low", "medium", "high"]]` - - High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `user_location: Optional[UserLocation]` - - The user's location. - - - `type: Literal["approximate"]` - - The type of location approximation. Always `approximate`. - - - `"approximate"` - - - `city: Optional[str]` - - Free text input for the city of the user, e.g. `San Francisco`. - - - `country: Optional[str]` - - The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. - - - `region: Optional[str]` - - Free text input for the region of the user, e.g. `California`. - - - `timezone: Optional[str]` - - The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. - - - `class ApplyPatchTool: …` - - Allows the assistant to create, delete, or update files using unified diffs. - - - `type: Literal["apply_patch"]` - - The type of the tool. Always `apply_patch`. - - - `"apply_patch"` - - - `type: Literal["tool_search_output"]` - - The item type. Always `tool_search_output`. - - - `"tool_search_output"` - - - `id: Optional[str]` - - The unique ID of this tool search output. - - - `call_id: Optional[str]` - - The unique ID of the tool search call generated by the model. - - - `execution: Optional[Literal["server", "client"]]` - - Whether tool search was executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the tool search output. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseReasoningItem: …` - - A description of the chain of thought used by a reasoning model while generating - a response. Be sure to include these items in your `input` to the Responses API - for subsequent turns of a conversation if you are manually - [managing context](https://platform.openai.com/docs/guides/conversation-state). - - - `id: str` - - The unique identifier of the reasoning content. - - - `summary: List[Summary]` - - Reasoning summary content. - - - `text: str` - - A summary of the reasoning output from the model so far. - - - `type: Literal["summary_text"]` - - The type of the object. Always `summary_text`. - - - `"summary_text"` - - - `type: Literal["reasoning"]` - - The type of the object. Always `reasoning`. - - - `"reasoning"` - - - `content: Optional[List[Content]]` - - Reasoning text content. - - - `text: str` - - The reasoning text from the model. - - - `type: Literal["reasoning_text"]` - - The type of the reasoning text. Always `reasoning_text`. - - - `"reasoning_text"` - - - `encrypted_content: Optional[str]` - - The encrypted content of the reasoning item - populated when a response is - generated with `reasoning.encrypted_content` in the `include` parameter. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseCompactionItemParam: …` - - A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). - - - `encrypted_content: str` - - The encrypted content of the compaction summary. - - - `type: Literal["compaction"]` - - The type of the item. Always `compaction`. - - - `"compaction"` - - - `id: Optional[str]` - - The ID of the compaction item. - - - `class ImageGenerationCall: …` - - An image generation request made by the model. - - - `id: str` - - The unique ID of the image generation call. - - - `result: Optional[str]` - - The generated image encoded in base64. - - - `status: Literal["in_progress", "completed", "generating", "failed"]` - - The status of the image generation call. - - - `"in_progress"` - - - `"completed"` - - - `"generating"` - - - `"failed"` - - - `type: Literal["image_generation_call"]` - - The type of the image generation call. Always `image_generation_call`. - - - `"image_generation_call"` - - - `class ResponseCodeInterpreterToolCall: …` - - A tool call to run code. - - - `id: str` - - The unique ID of the code interpreter tool call. - - - `code: Optional[str]` - - The code to run, or null if not available. - - - `container_id: str` - - The ID of the container used to run the code. - - - `outputs: Optional[List[Output]]` - - The outputs generated by the code interpreter, such as logs or images. - Can be null if no outputs are available. - - - `class OutputLogs: …` - - The logs output from the code interpreter. - - - `logs: str` - - The logs output from the code interpreter. - - - `type: Literal["logs"]` - - The type of the output. Always `logs`. - - - `"logs"` - - - `class OutputImage: …` - - The image output from the code interpreter. - - - `type: Literal["image"]` - - The type of the output. Always `image`. - - - `"image"` - - - `url: str` - - The URL of the image output from the code interpreter. - - - `status: Literal["in_progress", "completed", "incomplete", 2 more]` - - The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `"interpreting"` - - - `"failed"` - - - `type: Literal["code_interpreter_call"]` - - The type of the code interpreter tool call. Always `code_interpreter_call`. - - - `"code_interpreter_call"` - - - `class LocalShellCall: …` - - A tool call to run a command on the local shell. - - - `id: str` - - The unique ID of the local shell call. - - - `action: LocalShellCallAction` - - Execute a shell command on the server. - - - `command: List[str]` - - The command to run. - - - `env: Dict[str, str]` - - Environment variables to set for the command. - - - `type: Literal["exec"]` - - The type of the local shell action. Always `exec`. - - - `"exec"` - - - `timeout_ms: Optional[int]` - - Optional timeout in milliseconds for the command. - - - `user: Optional[str]` - - Optional user to run the command as. - - - `working_directory: Optional[str]` - - Optional working directory to run the command in. - - - `call_id: str` - - The unique ID of the local shell tool call generated by the model. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the local shell call. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["local_shell_call"]` - - The type of the local shell call. Always `local_shell_call`. - - - `"local_shell_call"` - - - `class LocalShellCallOutput: …` - - The output of a local shell tool call. - - - `id: str` - - The unique ID of the local shell tool call generated by the model. - - - `output: str` - - A JSON string of the output of the local shell tool call. - - - `type: Literal["local_shell_call_output"]` - - The type of the local shell tool call output. Always `local_shell_call_output`. - - - `"local_shell_call_output"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ShellCall: …` - - A tool representing a request to execute one or more shell commands. - - - `action: ShellCallAction` - - The shell commands and limits that describe how to run the tool call. - - - `commands: List[str]` - - Ordered shell commands for the execution environment to run. - - - `max_output_length: Optional[int]` - - Maximum number of UTF-8 characters to capture from combined stdout and stderr output. - - - `timeout_ms: Optional[int]` - - Maximum wall-clock time in milliseconds to allow the shell commands to run. - - - `call_id: str` - - The unique ID of the shell tool call generated by the model. - - - `type: Literal["shell_call"]` - - The type of the item. Always `shell_call`. - - - `"shell_call"` - - - `id: Optional[str]` - - The unique ID of the shell tool call. Populated when this item is returned via API. - - - `environment: Optional[ShellCallEnvironment]` - - The environment to execute the shell commands in. - - - `class LocalEnvironment: …` - - - `class ContainerReference: …` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ShellCallOutput: …` - - The streamed output items emitted by a shell tool call. - - - `call_id: str` - - The unique ID of the shell tool call generated by the model. - - - `output: List[ResponseFunctionShellCallOutputContent]` - - Captured chunks of stdout and stderr output, along with their associated outcomes. - - - `outcome: Outcome` - - The exit or timeout outcome associated with this shell call. - - - `class OutcomeTimeout: …` - - Indicates that the shell call exceeded its configured time limit. - - - `type: Literal["timeout"]` - - The outcome type. Always `timeout`. - - - `"timeout"` - - - `class OutcomeExit: …` - - Indicates that the shell commands finished and returned an exit code. - - - `exit_code: int` - - The exit code returned by the shell process. - - - `type: Literal["exit"]` - - The outcome type. Always `exit`. - - - `"exit"` - - - `stderr: str` - - Captured stderr output for the shell call. - - - `stdout: str` - - Captured stdout output for the shell call. - - - `type: Literal["shell_call_output"]` - - The type of the item. Always `shell_call_output`. - - - `"shell_call_output"` - - - `id: Optional[str]` - - The unique ID of the shell tool call output. Populated when this item is returned via API. - - - `max_output_length: Optional[int]` - - The maximum number of UTF-8 characters captured for this shell call's combined output. - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the shell call output. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ApplyPatchCall: …` - - A tool call representing a request to create, delete, or update files using diff patches. - - - `call_id: str` - - The unique ID of the apply patch tool call generated by the model. - - - `operation: ApplyPatchCallOperation` - - The specific create, delete, or update instruction for the apply_patch tool call. - - - `class ApplyPatchCallOperationCreateFile: …` - - Instruction for creating a new file via the apply_patch tool. - - - `diff: str` - - Unified diff content to apply when creating the file. - - - `path: str` - - Path of the file to create relative to the workspace root. - - - `type: Literal["create_file"]` - - The operation type. Always `create_file`. - - - `"create_file"` - - - `class ApplyPatchCallOperationDeleteFile: …` - - Instruction for deleting an existing file via the apply_patch tool. - - - `path: str` - - Path of the file to delete relative to the workspace root. - - - `type: Literal["delete_file"]` - - The operation type. Always `delete_file`. - - - `"delete_file"` - - - `class ApplyPatchCallOperationUpdateFile: …` - - Instruction for updating an existing file via the apply_patch tool. - - - `diff: str` - - Unified diff content to apply to the existing file. - - - `path: str` - - Path of the file to update relative to the workspace root. - - - `type: Literal["update_file"]` - - The operation type. Always `update_file`. - - - `"update_file"` - - - `status: Literal["in_progress", "completed"]` - - The status of the apply patch tool call. One of `in_progress` or `completed`. - - - `"in_progress"` - - - `"completed"` - - - `type: Literal["apply_patch_call"]` - - The type of the item. Always `apply_patch_call`. - - - `"apply_patch_call"` - - - `id: Optional[str]` - - The unique ID of the apply patch tool call. Populated when this item is returned via API. - - - `class ApplyPatchCallOutput: …` - - The streamed output emitted by an apply patch tool call. - - - `call_id: str` - - The unique ID of the apply patch tool call generated by the model. - - - `status: Literal["completed", "failed"]` - - The status of the apply patch tool call output. One of `completed` or `failed`. - - - `"completed"` - - - `"failed"` - - - `type: Literal["apply_patch_call_output"]` - - The type of the item. Always `apply_patch_call_output`. - - - `"apply_patch_call_output"` - - - `id: Optional[str]` - - The unique ID of the apply patch tool call output. Populated when this item is returned via API. - - - `output: Optional[str]` - - Optional human-readable log text from the apply patch tool (e.g., patch results or errors). - - - `class McpListTools: …` - - A list of tools available on an MCP server. - - - `id: str` - - The unique ID of the list. - - - `server_label: str` - - The label of the MCP server. - - - `tools: List[McpListToolsTool]` - - The tools available on the server. - - - `input_schema: object` - - The JSON schema describing the tool's input. - - - `name: str` - - The name of the tool. - - - `annotations: Optional[object]` - - Additional annotations about the tool. - - - `description: Optional[str]` - - The description of the tool. - - - `type: Literal["mcp_list_tools"]` - - The type of the item. Always `mcp_list_tools`. - - - `"mcp_list_tools"` - - - `error: Optional[str]` - - Error message if the server could not list tools. - - - `class McpApprovalRequest: …` - - A request for human approval of a tool invocation. - - - `id: str` - - The unique ID of the approval request. - - - `arguments: str` - - A JSON string of arguments for the tool. - - - `name: str` - - The name of the tool to run. - - - `server_label: str` - - The label of the MCP server making the request. - - - `type: Literal["mcp_approval_request"]` - - The type of the item. Always `mcp_approval_request`. - - - `"mcp_approval_request"` - - - `class McpApprovalResponse: …` - - A response to an MCP approval request. - - - `approval_request_id: str` - - The ID of the approval request being answered. - - - `approve: bool` - - Whether the request was approved. - - - `type: Literal["mcp_approval_response"]` - - The type of the item. Always `mcp_approval_response`. - - - `"mcp_approval_response"` - - - `id: Optional[str]` - - The unique ID of the approval response - - - `reason: Optional[str]` - - Optional reason for the decision. - - - `class McpCall: …` - - An invocation of a tool on an MCP server. - - - `id: str` - - The unique ID of the tool call. - - - `arguments: str` - - A JSON string of the arguments passed to the tool. - - - `name: str` - - The name of the tool that was run. - - - `server_label: str` - - The label of the MCP server running the tool. - - - `type: Literal["mcp_call"]` - - The type of the item. Always `mcp_call`. - - - `"mcp_call"` - - - `approval_request_id: Optional[str]` - - Unique identifier for the MCP tool call approval request. - Include this value in a subsequent `mcp_approval_response` input to approve or reject the corresponding tool call. - - - `error: Optional[str]` - - The error from the tool call, if any. - - - `output: Optional[str]` - - The output from the tool call. - - - `status: Optional[Literal["in_progress", "completed", "incomplete", 2 more]]` - - The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `"calling"` - - - `"failed"` - - - `class ResponseCustomToolCallOutput: …` - - The output of a custom tool call from your code, being sent back to the model. - - - `call_id: str` - - The call ID, used to map this custom tool call output to a custom tool call. - - - `output: Union[str, List[OutputOutputContentList]]` - - The output from the custom tool call generated by your code. - Can be a string or an list of output content. - - - `str` - - A string of the output of the custom tool call. - - - `List[OutputOutputContentList]` - - Text, image, or file output of the custom tool call. - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `type: Literal["custom_tool_call_output"]` - - The type of the custom tool call output. Always `custom_tool_call_output`. - - - `"custom_tool_call_output"` - - - `id: Optional[str]` - - The unique ID of the custom tool call output in the OpenAI platform. - - - `class ResponseCustomToolCall: …` - - A call to a custom tool created by the model. - - - `call_id: str` - - An identifier used to map this custom tool call to a tool call output. - - - `input: str` - - The input for the custom tool call generated by the model. - - - `name: str` - - The name of the custom tool being called. - - - `type: Literal["custom_tool_call"]` - - The type of the custom tool call. Always `custom_tool_call`. - - - `"custom_tool_call"` - - - `id: Optional[str]` - - The unique ID of the custom tool call in the OpenAI platform. - - - `namespace: Optional[str]` - - The namespace of the custom tool being called. - - - `class CompactionTrigger: …` - - Compacts the current context. Must be the final input item. - - - `type: Literal["compaction_trigger"]` - - The type of the item. Always `compaction_trigger`. - - - `"compaction_trigger"` - - - `class ItemReference: …` - - An internal identifier for an item to reference. - - - `id: str` - - The ID of the item to reference. - - - `type: Optional[Literal["item_reference"]]` - - The type of item to reference. Always `item_reference`. - - - `"item_reference"` - - - `metadata: Optional[Metadata]` - - Set of 16 key-value pairs that can be attached to an object. This can be - useful for storing additional information about the object in a structured - format, and querying for objects via API or the dashboard. - - Keys are strings with a maximum length of 64 characters. Values are strings - with a maximum length of 512 characters. - - - `model: ResponsesModel` - - Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI - offers a wide range of models with different capabilities, performance - characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) - to browse and compare available models. - - - `str` - - - `Literal["gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", 75 more]` - - - `"gpt-5.4"` - - - `"gpt-5.4-mini"` - - - `"gpt-5.4-nano"` - - - `"gpt-5.4-mini-2026-03-17"` - - - `"gpt-5.4-nano-2026-03-17"` - - - `"gpt-5.3-chat-latest"` - - - `"gpt-5.2"` - - - `"gpt-5.2-2025-12-11"` - - - `"gpt-5.2-chat-latest"` - - - `"gpt-5.2-pro"` - - - `"gpt-5.2-pro-2025-12-11"` - - - `"gpt-5.1"` - - - `"gpt-5.1-2025-11-13"` - - - `"gpt-5.1-codex"` - - - `"gpt-5.1-mini"` - - - `"gpt-5.1-chat-latest"` - - - `"gpt-5"` - - - `"gpt-5-mini"` - - - `"gpt-5-nano"` - - - `"gpt-5-2025-08-07"` - - - `"gpt-5-mini-2025-08-07"` - - - `"gpt-5-nano-2025-08-07"` - - - `"gpt-5-chat-latest"` - - - `"gpt-4.1"` - - - `"gpt-4.1-mini"` - - - `"gpt-4.1-nano"` - - - `"gpt-4.1-2025-04-14"` - - - `"gpt-4.1-mini-2025-04-14"` - - - `"gpt-4.1-nano-2025-04-14"` - - - `"o4-mini"` - - - `"o4-mini-2025-04-16"` - - - `"o3"` - - - `"o3-2025-04-16"` - - - `"o3-mini"` - - - `"o3-mini-2025-01-31"` - - - `"o1"` - - - `"o1-2024-12-17"` - - - `"o1-preview"` - - - `"o1-preview-2024-09-12"` - - - `"o1-mini"` - - - `"o1-mini-2024-09-12"` - - - `"gpt-4o"` - - - `"gpt-4o-2024-11-20"` - - - `"gpt-4o-2024-08-06"` - - - `"gpt-4o-2024-05-13"` - - - `"gpt-4o-audio-preview"` - - - `"gpt-4o-audio-preview-2024-10-01"` - - - `"gpt-4o-audio-preview-2024-12-17"` - - - `"gpt-4o-audio-preview-2025-06-03"` - - - `"gpt-4o-mini-audio-preview"` - - - `"gpt-4o-mini-audio-preview-2024-12-17"` - - - `"gpt-4o-search-preview"` - - - `"gpt-4o-mini-search-preview"` - - - `"gpt-4o-search-preview-2025-03-11"` - - - `"gpt-4o-mini-search-preview-2025-03-11"` - - - `"chatgpt-4o-latest"` - - - `"codex-mini-latest"` - - - `"gpt-4o-mini"` - - - `"gpt-4o-mini-2024-07-18"` - - - `"gpt-4-turbo"` - - - `"gpt-4-turbo-2024-04-09"` - - - `"gpt-4-0125-preview"` - - - `"gpt-4-turbo-preview"` - - - `"gpt-4-1106-preview"` - - - `"gpt-4-vision-preview"` - - - `"gpt-4"` - - - `"gpt-4-0314"` - - - `"gpt-4-0613"` - - - `"gpt-4-32k"` - - - `"gpt-4-32k-0314"` - - - `"gpt-4-32k-0613"` - - - `"gpt-3.5-turbo"` - - - `"gpt-3.5-turbo-16k"` - - - `"gpt-3.5-turbo-0301"` - - - `"gpt-3.5-turbo-0613"` - - - `"gpt-3.5-turbo-1106"` - - - `"gpt-3.5-turbo-0125"` - - - `"gpt-3.5-turbo-16k-0613"` - - - `Literal["o1-pro", "o1-pro-2025-03-19", "o3-pro", 11 more]` - - - `"o1-pro"` - - - `"o1-pro-2025-03-19"` - - - `"o3-pro"` - - - `"o3-pro-2025-06-10"` - - - `"o3-deep-research"` - - - `"o3-deep-research-2025-06-26"` - - - `"o4-mini-deep-research"` - - - `"o4-mini-deep-research-2025-06-26"` - - - `"computer-use-preview"` - - - `"computer-use-preview-2025-03-11"` - - - `"gpt-5-codex"` - - - `"gpt-5-pro"` - - - `"gpt-5-pro-2025-10-06"` - - - `"gpt-5.1-codex-max"` - - - `object: Literal["response"]` - - The object type of this resource - always set to `response`. - - - `"response"` - - - `output: List[ResponseOutputItem]` - - An array of content items generated by the model. - - - The length and order of items in the `output` array is dependent - on the model's response. - - Rather than accessing the first item in the `output` array and - assuming it's an `assistant` message with the content generated by - the model, you might consider using the `output_text` property where - supported in SDKs. - - - `class ResponseOutputMessage: …` - - An output message from the model. - - - `class ResponseFileSearchToolCall: …` - - The results of a file search tool call. See the - [file search guide](https://platform.openai.com/docs/guides/tools-file-search) for more information. - - - `class ResponseFunctionToolCall: …` - - A tool call to run a function. See the - [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. - - - `class ResponseFunctionToolCallOutputItem: …` - - - `id: str` - - The unique ID of the function call tool output. - - - `call_id: str` - - The unique ID of the function tool call generated by the model. - - - `output: Union[str, List[OutputOutputContentList]]` - - The output from the function call generated by your code. - Can be a string or an list of output content. - - - `str` - - A string of the output of the function call. - - - `List[OutputOutputContentList]` - - Text, image, or file output of the function call. - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["function_call_output"]` - - The type of the function tool call output. Always `function_call_output`. - - - `"function_call_output"` - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `class ResponseFunctionWebSearch: …` - - The results of a web search tool call. See the - [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for more information. - - - `class ResponseComputerToolCall: …` - - A tool call to a computer use tool. See the - [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use) for more information. - - - `class ResponseComputerToolCallOutputItem: …` - - - `id: str` - - The unique ID of the computer call tool output. - - - `call_id: str` - - The ID of the computer tool call that produced the output. - - - `output: ResponseComputerToolCallOutputScreenshot` - - A computer screenshot image used with the computer use tool. - - - `status: Literal["completed", "incomplete", "failed", "in_progress"]` - - The status of the message input. One of `in_progress`, `completed`, or - `incomplete`. Populated when input items are returned via API. - - - `"completed"` - - - `"incomplete"` - - - `"failed"` - - - `"in_progress"` - - - `type: Literal["computer_call_output"]` - - The type of the computer tool call output. Always `computer_call_output`. - - - `"computer_call_output"` - - - `acknowledged_safety_checks: Optional[List[AcknowledgedSafetyCheck]]` - - The safety checks reported by the API that have been acknowledged by the - developer. - - - `id: str` - - The ID of the pending safety check. - - - `code: Optional[str]` - - The type of the pending safety check. - - - `message: Optional[str]` - - Details about the pending safety check. - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `class ResponseReasoningItem: …` - - A description of the chain of thought used by a reasoning model while generating - a response. Be sure to include these items in your `input` to the Responses API - for subsequent turns of a conversation if you are manually - [managing context](https://platform.openai.com/docs/guides/conversation-state). - - - `class ResponseToolSearchCall: …` - - - `id: str` - - The unique ID of the tool search call item. - - - `arguments: object` - - Arguments used for the tool search call. - - - `call_id: Optional[str]` - - The unique ID of the tool search call generated by the model. - - - `execution: Literal["server", "client"]` - - Whether tool search was executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the tool search call item that was recorded. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["tool_search_call"]` - - The type of the item. Always `tool_search_call`. - - - `"tool_search_call"` - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `class ResponseToolSearchOutputItem: …` - - - `id: str` - - The unique ID of the tool search output item. - - - `call_id: Optional[str]` - - The unique ID of the tool search call generated by the model. - - - `execution: Literal["server", "client"]` - - Whether tool search was executed by the server or by the client. - - - `"server"` - - - `"client"` - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the tool search output item that was recorded. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `tools: List[Tool]` - - The loaded tool definitions returned by tool search. - - - `class FunctionTool: …` - - Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). - - - `class FileSearchTool: …` - - A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search). - - - `class ComputerTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `class ComputerUsePreviewTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `class WebSearchTool: …` - - Search the Internet for sources related to the prompt. Learn more about the - [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `class Mcp: …` - - Give the model access to additional tools via remote Model Context Protocol - (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-mcp). - - - `class CodeInterpreter: …` - - A tool that runs Python code to help generate a response to a prompt. - - - `class ImageGeneration: …` - - A tool that generates images using the GPT image models. - - - `class LocalShell: …` - - A tool that allows the model to execute shell commands in a local environment. - - - `class FunctionShellTool: …` - - A tool that allows the model to execute shell commands. - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `class NamespaceTool: …` - - Groups function/custom tools under a shared namespace. - - - `class ToolSearchTool: …` - - Hosted or BYOT tool search configuration for deferred tools. - - - `class WebSearchPreviewTool: …` - - This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `class ApplyPatchTool: …` - - Allows the assistant to create, delete, or update files using unified diffs. - - - `type: Literal["tool_search_output"]` - - The type of the item. Always `tool_search_output`. - - - `"tool_search_output"` - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `class ResponseCompactionItem: …` - - A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). - - - `id: str` - - The unique ID of the compaction item. - - - `encrypted_content: str` - - The encrypted content that was produced by compaction. - - - `type: Literal["compaction"]` - - The type of the item. Always `compaction`. - - - `"compaction"` - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `class ImageGenerationCall: …` - - An image generation request made by the model. - - - `id: str` - - The unique ID of the image generation call. - - - `result: Optional[str]` - - The generated image encoded in base64. - - - `status: Literal["in_progress", "completed", "generating", "failed"]` - - The status of the image generation call. - - - `"in_progress"` - - - `"completed"` - - - `"generating"` - - - `"failed"` - - - `type: Literal["image_generation_call"]` - - The type of the image generation call. Always `image_generation_call`. - - - `"image_generation_call"` - - - `class ResponseCodeInterpreterToolCall: …` - - A tool call to run code. - - - `class LocalShellCall: …` - - A tool call to run a command on the local shell. - - - `id: str` - - The unique ID of the local shell call. - - - `action: LocalShellCallAction` - - Execute a shell command on the server. - - - `command: List[str]` - - The command to run. - - - `env: Dict[str, str]` - - Environment variables to set for the command. - - - `type: Literal["exec"]` - - The type of the local shell action. Always `exec`. - - - `"exec"` - - - `timeout_ms: Optional[int]` - - Optional timeout in milliseconds for the command. - - - `user: Optional[str]` - - Optional user to run the command as. - - - `working_directory: Optional[str]` - - Optional working directory to run the command in. - - - `call_id: str` - - The unique ID of the local shell tool call generated by the model. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the local shell call. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["local_shell_call"]` - - The type of the local shell call. Always `local_shell_call`. - - - `"local_shell_call"` - - - `class LocalShellCallOutput: …` - - The output of a local shell tool call. - - - `id: str` - - The unique ID of the local shell tool call generated by the model. - - - `output: str` - - A JSON string of the output of the local shell tool call. - - - `type: Literal["local_shell_call_output"]` - - The type of the local shell tool call output. Always `local_shell_call_output`. - - - `"local_shell_call_output"` - - - `status: Optional[Literal["in_progress", "completed", "incomplete"]]` - - The status of the item. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `class ResponseFunctionShellToolCall: …` - - A tool call that executes one or more shell commands in a managed environment. - - - `id: str` - - The unique ID of the shell tool call. Populated when this item is returned via API. - - - `action: Action` - - The shell commands and limits that describe how to run the tool call. - - - `commands: List[str]` - - - `max_output_length: Optional[int]` - - Optional maximum number of characters to return from each command. - - - `timeout_ms: Optional[int]` - - Optional timeout in milliseconds for the commands. - - - `call_id: str` - - The unique ID of the shell tool call generated by the model. - - - `environment: Optional[Environment]` - - Represents the use of a local environment to perform shell actions. - - - `class ResponseLocalEnvironment: …` - - Represents the use of a local environment to perform shell actions. - - - `type: Literal["local"]` - - The environment type. Always `local`. - - - `"local"` - - - `class ResponseContainerReference: …` - - Represents a container created with /v1/containers. - - - `container_id: str` - - - `type: Literal["container_reference"]` - - The environment type. Always `container_reference`. - - - `"container_reference"` - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["shell_call"]` - - The type of the item. Always `shell_call`. - - - `"shell_call"` - - - `created_by: Optional[str]` - - The ID of the entity that created this tool call. - - - `class ResponseFunctionShellToolCallOutput: …` - - The output of a shell tool call that was emitted. - - - `id: str` - - The unique ID of the shell call output. Populated when this item is returned via API. - - - `call_id: str` - - The unique ID of the shell tool call generated by the model. - - - `max_output_length: Optional[int]` - - The maximum length of the shell command output. This is generated by the model and should be passed back with the raw output. - - - `output: List[Output]` - - An array of shell call output contents - - - `outcome: OutputOutcome` - - Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk. - - - `class OutputOutcomeTimeout: …` - - Indicates that the shell call exceeded its configured time limit. - - - `type: Literal["timeout"]` - - The outcome type. Always `timeout`. - - - `"timeout"` - - - `class OutputOutcomeExit: …` - - Indicates that the shell commands finished and returned an exit code. - - - `exit_code: int` - - Exit code from the shell process. - - - `type: Literal["exit"]` - - The outcome type. Always `exit`. - - - `"exit"` - - - `stderr: str` - - The standard error output that was captured. - - - `stdout: str` - - The standard output that was captured. - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the shell call output. One of `in_progress`, `completed`, or `incomplete`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `type: Literal["shell_call_output"]` - - The type of the shell call output. Always `shell_call_output`. - - - `"shell_call_output"` - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `class ResponseApplyPatchToolCall: …` - - A tool call that applies file diffs by creating, deleting, or updating files. - - - `id: str` - - The unique ID of the apply patch tool call. Populated when this item is returned via API. - - - `call_id: str` - - The unique ID of the apply patch tool call generated by the model. - - - `operation: Operation` - - One of the create_file, delete_file, or update_file operations applied via apply_patch. - - - `class OperationCreateFile: …` - - Instruction describing how to create a file via the apply_patch tool. - - - `diff: str` - - Diff to apply. - - - `path: str` - - Path of the file to create. - - - `type: Literal["create_file"]` - - Create a new file with the provided diff. - - - `"create_file"` - - - `class OperationDeleteFile: …` - - Instruction describing how to delete a file via the apply_patch tool. - - - `path: str` - - Path of the file to delete. - - - `type: Literal["delete_file"]` - - Delete the specified file. - - - `"delete_file"` - - - `class OperationUpdateFile: …` - - Instruction describing how to update a file via the apply_patch tool. - - - `diff: str` - - Diff to apply. - - - `path: str` - - Path of the file to update. - - - `type: Literal["update_file"]` - - Update an existing file with the provided diff. - - - `"update_file"` - - - `status: Literal["in_progress", "completed"]` - - The status of the apply patch tool call. One of `in_progress` or `completed`. - - - `"in_progress"` - - - `"completed"` - - - `type: Literal["apply_patch_call"]` - - The type of the item. Always `apply_patch_call`. - - - `"apply_patch_call"` - - - `created_by: Optional[str]` - - The ID of the entity that created this tool call. - - - `class ResponseApplyPatchToolCallOutput: …` - - The output emitted by an apply patch tool call. - - - `id: str` - - The unique ID of the apply patch tool call output. Populated when this item is returned via API. - - - `call_id: str` - - The unique ID of the apply patch tool call generated by the model. - - - `status: Literal["completed", "failed"]` - - The status of the apply patch tool call output. One of `completed` or `failed`. - - - `"completed"` - - - `"failed"` - - - `type: Literal["apply_patch_call_output"]` - - The type of the item. Always `apply_patch_call_output`. - - - `"apply_patch_call_output"` - - - `created_by: Optional[str]` - - The ID of the entity that created this tool call output. - - - `output: Optional[str]` - - Optional textual output returned by the apply patch tool. - - - `class McpCall: …` - - An invocation of a tool on an MCP server. - - - `id: str` - - The unique ID of the tool call. - - - `arguments: str` - - A JSON string of the arguments passed to the tool. - - - `name: str` - - The name of the tool that was run. - - - `server_label: str` - - The label of the MCP server running the tool. - - - `type: Literal["mcp_call"]` - - The type of the item. Always `mcp_call`. - - - `"mcp_call"` - - - `approval_request_id: Optional[str]` - - Unique identifier for the MCP tool call approval request. - Include this value in a subsequent `mcp_approval_response` input to approve or reject the corresponding tool call. - - - `error: Optional[str]` - - The error from the tool call, if any. - - - `output: Optional[str]` - - The output from the tool call. - - - `status: Optional[Literal["in_progress", "completed", "incomplete", 2 more]]` - - The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `"calling"` - - - `"failed"` - - - `class McpListTools: …` - - A list of tools available on an MCP server. - - - `id: str` - - The unique ID of the list. - - - `server_label: str` - - The label of the MCP server. - - - `tools: List[McpListToolsTool]` - - The tools available on the server. - - - `input_schema: object` - - The JSON schema describing the tool's input. - - - `name: str` - - The name of the tool. - - - `annotations: Optional[object]` - - Additional annotations about the tool. - - - `description: Optional[str]` - - The description of the tool. - - - `type: Literal["mcp_list_tools"]` - - The type of the item. Always `mcp_list_tools`. - - - `"mcp_list_tools"` - - - `error: Optional[str]` - - Error message if the server could not list tools. - - - `class McpApprovalRequest: …` - - A request for human approval of a tool invocation. - - - `id: str` - - The unique ID of the approval request. - - - `arguments: str` - - A JSON string of arguments for the tool. - - - `name: str` - - The name of the tool to run. - - - `server_label: str` - - The label of the MCP server making the request. - - - `type: Literal["mcp_approval_request"]` - - The type of the item. Always `mcp_approval_request`. - - - `"mcp_approval_request"` - - - `class McpApprovalResponse: …` - - A response to an MCP approval request. - - - `id: str` - - The unique ID of the approval response - - - `approval_request_id: str` - - The ID of the approval request being answered. - - - `approve: bool` - - Whether the request was approved. - - - `type: Literal["mcp_approval_response"]` - - The type of the item. Always `mcp_approval_response`. - - - `"mcp_approval_response"` - - - `reason: Optional[str]` - - Optional reason for the decision. - - - `class ResponseCustomToolCall: …` - - A call to a custom tool created by the model. - - - `class ResponseCustomToolCallOutputItem: …` - - The output of a custom tool call from your code, being sent back to the model. - - - `id: str` - - The unique ID of the custom tool call output item. - - - `status: Literal["in_progress", "completed", "incomplete"]` - - The status of the item. One of `in_progress`, `completed`, or - `incomplete`. Populated when items are returned via API. - - - `"in_progress"` - - - `"completed"` - - - `"incomplete"` - - - `created_by: Optional[str]` - - The identifier of the actor that created the item. - - - `parallel_tool_calls: bool` - - Whether to allow the model to run tool calls in parallel. - - - `temperature: Optional[float]` - - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - We generally recommend altering this or `top_p` but not both. - - - `tool_choice: ToolChoice` - - How the model should select which tool (or tools) to use when generating - a response. See the `tools` parameter to see how to specify which tools - the model can call. - - - `Literal["none", "auto", "required"]` - - - `"none"` - - - `"auto"` - - - `"required"` - - - `class ToolChoiceAllowed: …` - - Constrains the tools available to the model to a pre-defined set. - - - `mode: Literal["auto", "required"]` - - Constrains the tools available to the model to a pre-defined set. - - `auto` allows the model to pick from among the allowed tools and generate a - message. - - `required` requires the model to call one or more of the allowed tools. - - - `"auto"` - - - `"required"` - - - `tools: List[Dict[str, object]]` - - A list of tool definitions that the model should be allowed to call. - - For the Responses API, the list of tool definitions might look like: - - ```json - [ - { "type": "function", "name": "get_weather" }, - { "type": "mcp", "server_label": "deepwiki" }, - { "type": "image_generation" } - ] - ``` - - - `type: Literal["allowed_tools"]` - - Allowed tool configuration type. Always `allowed_tools`. - - - `"allowed_tools"` - - - `class ToolChoiceTypes: …` - - Indicates that the model should use a built-in tool to generate a response. - [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools). - - - `type: Literal["file_search", "web_search_preview", "computer", 5 more]` - - The type of hosted tool the model should to use. Learn more about - [built-in tools](https://platform.openai.com/docs/guides/tools). - - Allowed values are: - - - `file_search` - - `web_search_preview` - - `computer` - - `computer_use_preview` - - `computer_use` - - `code_interpreter` - - `image_generation` - - - `"file_search"` - - - `"web_search_preview"` - - - `"computer"` - - - `"computer_use_preview"` - - - `"computer_use"` - - - `"web_search_preview_2025_03_11"` - - - `"image_generation"` - - - `"code_interpreter"` - - - `class ToolChoiceFunction: …` - - Use this option to force the model to call a specific function. - - - `name: str` - - The name of the function to call. - - - `type: Literal["function"]` - - For function calling, the type is always `function`. - - - `"function"` - - - `class ToolChoiceMcp: …` - - Use this option to force the model to call a specific tool on a remote MCP server. - - - `server_label: str` - - The label of the MCP server to use. - - - `type: Literal["mcp"]` - - For MCP tools, the type is always `mcp`. - - - `"mcp"` - - - `name: Optional[str]` - - The name of the tool to call on the server. - - - `class ToolChoiceCustom: …` - - Use this option to force the model to call a specific custom tool. - - - `name: str` - - The name of the custom tool to call. - - - `type: Literal["custom"]` - - For custom tool calling, the type is always `custom`. - - - `"custom"` - - - `class ToolChoiceApplyPatch: …` - - Forces the model to call the apply_patch tool when executing a tool call. - - - `type: Literal["apply_patch"]` - - The tool to call. Always `apply_patch`. - - - `"apply_patch"` - - - `class ToolChoiceShell: …` - - Forces the model to call the shell tool when a tool call is required. - - - `type: Literal["shell"]` - - The tool to call. Always `shell`. - - - `"shell"` - - - `tools: List[Tool]` - - An array of tools the model may call while generating a response. You - can specify which tool to use by setting the `tool_choice` parameter. - - We support the following categories of tools: - - - **Built-in tools**: Tools that are provided by OpenAI that extend the - model's capabilities, like [web search](https://platform.openai.com/docs/guides/tools-web-search) - or [file search](https://platform.openai.com/docs/guides/tools-file-search). Learn more about - [built-in tools](https://platform.openai.com/docs/guides/tools). - - **MCP Tools**: Integrations with third-party systems via custom MCP servers - or predefined connectors such as Google Drive and SharePoint. Learn more about - [MCP Tools](https://platform.openai.com/docs/guides/tools-connectors-mcp). - - **Function calls (custom tools)**: Functions that are defined by you, - enabling the model to call your own code with strongly typed arguments - and outputs. Learn more about - [function calling](https://platform.openai.com/docs/guides/function-calling). You can also use - custom tools to call your own code. - - - `class FunctionTool: …` - - Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling). - - - `class FileSearchTool: …` - - A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search). - - - `class ComputerTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `class ComputerUsePreviewTool: …` - - A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - - - `class WebSearchTool: …` - - Search the Internet for sources related to the prompt. Learn more about the - [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `class Mcp: …` - - Give the model access to additional tools via remote Model Context Protocol - (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-mcp). - - - `class CodeInterpreter: …` - - A tool that runs Python code to help generate a response to a prompt. - - - `class ImageGeneration: …` - - A tool that generates images using the GPT image models. - - - `class LocalShell: …` - - A tool that allows the model to execute shell commands in a local environment. - - - `class FunctionShellTool: …` - - A tool that allows the model to execute shell commands. - - - `class CustomTool: …` - - A custom tool that processes input using a specified format. Learn more about [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools) - - - `class NamespaceTool: …` - - Groups function/custom tools under a shared namespace. - - - `class ToolSearchTool: …` - - Hosted or BYOT tool search configuration for deferred tools. - - - `class WebSearchPreviewTool: …` - - This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search). - - - `class ApplyPatchTool: …` - - Allows the assistant to create, delete, or update files using unified diffs. - - - `top_p: Optional[float]` - - An alternative to sampling with temperature, called nucleus sampling, - where the model considers the results of the tokens with top_p probability - mass. So 0.1 means only the tokens comprising the top 10% probability mass - are considered. - - We generally recommend altering this or `temperature` but not both. - - - `background: Optional[bool]` - - Whether to run the model response in the background. - [Learn more](https://platform.openai.com/docs/guides/background). - - - `completed_at: Optional[float]` - - Unix timestamp (in seconds) of when this Response was completed. - Only present when the status is `completed`. - - - `conversation: Optional[Conversation]` - - The conversation that this response belonged to. Input items and output items from this response were automatically added to this conversation. - - - `id: str` - - The unique ID of the conversation that this response was associated with. - - - `max_output_tokens: Optional[int]` - - An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). - - - `max_tool_calls: Optional[int]` - - The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. - - - `previous_response_id: Optional[str]` - - The unique ID of the previous response to the model. Use this to - create multi-turn conversations. Learn more about - [conversation state](https://platform.openai.com/docs/guides/conversation-state). Cannot be used in conjunction with `conversation`. - - - `prompt: Optional[ResponsePrompt]` - - Reference to a prompt template and its variables. - [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). - - - `id: str` - - The unique identifier of the prompt template to use. - - - `variables: Optional[Dict[str, Variables]]` - - Optional map of values to substitute in for variables in your - prompt. The substitution values can either be strings, or other - Response input types like images or files. - - - `str` - - - `class ResponseInputText: …` - - A text input to the model. - - - `class ResponseInputImage: …` - - An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - - - `class ResponseInputFile: …` - - A file input to the model. - - - `version: Optional[str]` - - Optional version of the prompt template. - - - `prompt_cache_key: Optional[str]` - - Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the `user` field. [Learn more](https://platform.openai.com/docs/guides/prompt-caching). - - - `prompt_cache_retention: Optional[Literal["in_memory", "24h"]]` - - The retention policy for the prompt cache. Set to `24h` to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. [Learn more](https://platform.openai.com/docs/guides/prompt-caching#prompt-cache-retention). - - - `"in_memory"` - - - `"24h"` - - - `reasoning: Optional[Reasoning]` - - **gpt-5 and o-series models only** - - Configuration options for - [reasoning models](https://platform.openai.com/docs/guides/reasoning). - - - `effort: Optional[ReasoningEffort]` - - Constrains effort on reasoning for - [reasoning models](https://platform.openai.com/docs/guides/reasoning). - Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing - reasoning effort can result in faster responses and fewer tokens used - on reasoning in a response. - - - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. - - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. - - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. - - `xhigh` is supported for all models after `gpt-5.1-codex-max`. - - - `"none"` - - - `"minimal"` - - - `"low"` - - - `"medium"` - - - `"high"` - - - `"xhigh"` - - - `generate_summary: Optional[Literal["auto", "concise", "detailed"]]` - - **Deprecated:** use `summary` instead. - - A summary of the reasoning performed by the model. This can be - useful for debugging and understanding the model's reasoning process. - One of `auto`, `concise`, or `detailed`. - - - `"auto"` - - - `"concise"` - - - `"detailed"` - - - `summary: Optional[Literal["auto", "concise", "detailed"]]` - - A summary of the reasoning performed by the model. This can be - useful for debugging and understanding the model's reasoning process. - One of `auto`, `concise`, or `detailed`. - - `concise` is supported for `computer-use-preview` models and all reasoning models after `gpt-5`. - - - `"auto"` - - - `"concise"` - - - `"detailed"` - - - `safety_identifier: Optional[str]` - - A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. - The IDs should be a string that uniquely identifies each user, with a maximum length of 64 characters. We recommend hashing their username or email address, in order to avoid sending us any identifying information. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). - - - `service_tier: Optional[Literal["auto", "default", "flex", 2 more]]` - - Specifies the processing type used for serving the request. - - - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. - - If set to 'default', then the request will be processed with the standard pricing and performance for the selected model. - - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or '[priority](https://openai.com/api-priority-processing/)', then the request will be processed with the corresponding service tier. - - When not set, the default behavior is 'auto'. - - When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. - - - `"auto"` - - - `"default"` - - - `"flex"` - - - `"scale"` - - - `"priority"` - - - `status: Optional[ResponseStatus]` - - The status of the response generation. One of `completed`, `failed`, - `in_progress`, `cancelled`, `queued`, or `incomplete`. - - - `"completed"` - - - `"failed"` - - - `"in_progress"` - - - `"cancelled"` - - - `"queued"` - - - `"incomplete"` - - - `text: Optional[ResponseTextConfig]` - - Configuration options for a text response from the model. Can be plain - text or structured JSON data. Learn more: - - - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) - - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) - - - `format: Optional[ResponseFormatTextConfig]` - - An object specifying the format that the model must output. - - Configuring `{ "type": "json_schema" }` enables Structured Outputs, - which ensures the model will match your supplied JSON schema. Learn more in the - [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). - - The default format is `{ "type": "text" }` with no additional options. - - **Not recommended for gpt-4o and newer models:** - - Setting to `{ "type": "json_object" }` enables the older JSON mode, which - ensures the message the model generates is valid JSON. Using `json_schema` - is preferred for models that support it. - - - `class ResponseFormatText: …` - - Default response format. Used to generate text responses. - - - `type: Literal["text"]` - - The type of response format being defined. Always `text`. - - - `"text"` - - - `class ResponseFormatTextJSONSchemaConfig: …` - - JSON Schema response format. Used to generate structured JSON responses. - Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). - - - `name: str` - - The name of the response format. Must be a-z, A-Z, 0-9, or contain - underscores and dashes, with a maximum length of 64. - - - `schema: Dict[str, object]` - - The schema for the response format, described as a JSON Schema object. - Learn how to build JSON schemas [here](https://json-schema.org/). - - - `type: Literal["json_schema"]` - - The type of response format being defined. Always `json_schema`. - - - `"json_schema"` - - - `description: Optional[str]` - - A description of what the response format is for, used by the model to - determine how to respond in the format. - - - `strict: Optional[bool]` - - Whether to enable strict schema adherence when generating the output. - If set to true, the model will always follow the exact schema defined - in the `schema` field. Only a subset of JSON Schema is supported when - `strict` is `true`. To learn more, read the [Structured Outputs - guide](https://platform.openai.com/docs/guides/structured-outputs). - - - `class ResponseFormatJSONObject: …` - - JSON object response format. An older method of generating JSON responses. - Using `json_schema` is recommended for models that support it. Note that the - model will not generate JSON without a system or user message instructing it - to do so. - - - `type: Literal["json_object"]` - - The type of response format being defined. Always `json_object`. - - - `"json_object"` - - - `verbosity: Optional[Literal["low", "medium", "high"]]` - - Constrains the verbosity of the model's response. Lower values will result in - more concise responses, while higher values will result in more verbose responses. - Currently supported values are `low`, `medium`, and `high`. - - - `"low"` - - - `"medium"` - - - `"high"` - - - `top_logprobs: Optional[int]` - - An integer between 0 and 20 specifying the maximum number of most likely - tokens to return at each token position, each with an associated log - probability. In some cases, the number of returned tokens may be fewer than - requested. - - - `truncation: Optional[Literal["auto", "disabled"]]` - - The truncation strategy to use for the model response. - - - `auto`: If the input to this Response exceeds - the model's context window size, the model will truncate the - response to fit the context window by dropping items from the beginning of the conversation. - - `disabled` (default): If the input size will exceed the context window - size for a model, the request will fail with a 400 error. - - - `"auto"` - - - `"disabled"` - - - `usage: Optional[ResponseUsage]` - - Represents token usage details including input tokens, output tokens, - a breakdown of output tokens, and the total tokens used. - - - `input_tokens: int` - - The number of input tokens. - - - `input_tokens_details: InputTokensDetails` - - A detailed breakdown of the input tokens. - - - `cached_tokens: int` - - The number of tokens that were retrieved from the cache. - [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching). - - - `output_tokens: int` - - The number of output tokens. - - - `output_tokens_details: OutputTokensDetails` - - A detailed breakdown of the output tokens. - - - `reasoning_tokens: int` - - The number of reasoning tokens. - - - `total_tokens: int` - - The total number of tokens used. - - - `user: Optional[str]` - - This field is being replaced by `safety_identifier` and `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching optimizations. - A stable identifier for your end-users. - Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). - -### Example - -```python -import os -from openai import OpenAI - -client = OpenAI( - api_key=os.environ.get("OPENAI_API_KEY"), # This is the default and can be omitted -) -for response in client.responses.create(): - print(response) -``` - -#### Response - -```json -{ - "id": "id", - "created_at": 0, - "error": { - "code": "server_error", - "message": "message" - }, - "incomplete_details": { - "reason": "max_output_tokens" - }, - "instructions": "string", - "metadata": { - "foo": "string" - }, - "model": "gpt-5.1", - "object": "response", - "output": [ - { - "id": "id", - "content": [ - { - "annotations": [ - { - "file_id": "file_id", - "filename": "filename", - "index": 0, - "type": "file_citation" - } - ], - "text": "text", - "type": "output_text", - "logprobs": [ - { - "token": "token", - "bytes": [ - 0 - ], - "logprob": 0, - "top_logprobs": [ - { - "token": "token", - "bytes": [ - 0 - ], - "logprob": 0 - } - ] - } - ] - } - ], - "role": "assistant", - "status": "in_progress", - "type": "message", - "phase": "commentary" - } - ], - "parallel_tool_calls": true, - "temperature": 1, - "tool_choice": "none", - "tools": [ - { - "name": "name", - "parameters": { - "foo": "bar" - }, - "strict": true, - "type": "function", - "defer_loading": true, - "description": "description" - } - ], - "top_p": 1, - "background": true, - "completed_at": 0, - "conversation": { - "id": "id" - }, - "max_output_tokens": 0, - "max_tool_calls": 0, - "output_text": "output_text", - "previous_response_id": "previous_response_id", - "prompt": { - "id": "id", - "variables": { - "foo": "string" - }, - "version": "version" - }, - "prompt_cache_key": "prompt-cache-key-1234", - "prompt_cache_retention": "in_memory", - "reasoning": { - "effort": "none", - "generate_summary": "auto", - "summary": "auto" - }, - "safety_identifier": "safety-identifier-1234", - "service_tier": "auto", - "status": "completed", - "text": { - "format": { - "type": "text" - }, - "verbosity": "low" - }, - "top_logprobs": 0, - "truncation": "auto", - "usage": { - "input_tokens": 0, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 0, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 0 - }, - "user": "user-1234" -} -``` - -### Text input - -```python -from openai import OpenAI - -client = OpenAI() - -response = client.responses.create( - model="gpt-5.4", - input="Tell me a three sentence bedtime story about a unicorn." -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_67ccd2bed1ec8190b14f964abc0542670bb6a6b452d3795b", - "object": "response", - "created_at": 1741476542, - "status": "completed", - "completed_at": 1741476543, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "model": "gpt-5.4", - "output": [ - { - "type": "message", - "id": "msg_67ccd2bf17f0819081ff3bb2cf6508e60bb6a6b452d3795b", - "status": "completed", - "role": "assistant", - "content": [ - { - "type": "output_text", - "text": "In a peaceful grove beneath a silver moon, a unicorn named Lumina discovered a hidden pool that reflected the stars. As she dipped her horn into the water, the pool began to shimmer, revealing a pathway to a magical realm of endless night skies. Filled with wonder, Lumina whispered a wish for all who dream to find their own hidden magic, and as she glanced back, her hoofprints sparkled like stardust.", - "annotations": [] - } - ] - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": null, - "summary": null - }, - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [], - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 36, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 87, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 123 - }, - "user": null, - "metadata": {} -} -``` - -### Image input - -```python -from openai import OpenAI - -client = OpenAI() - -response = client.responses.create( - model="gpt-5.4", - input=[ - { - "role": "user", - "content": [ - { "type": "input_text", "text": "what is in this image?" }, - { - "type": "input_image", - "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" - } - ] - } - ] -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_67ccd3a9da748190baa7f1570fe91ac604becb25c45c1d41", - "object": "response", - "created_at": 1741476777, - "status": "completed", - "completed_at": 1741476778, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "model": "gpt-5.4", - "output": [ - { - "type": "message", - "id": "msg_67ccd3acc8d48190a77525dc6de64b4104becb25c45c1d41", - "status": "completed", - "role": "assistant", - "content": [ - { - "type": "output_text", - "text": "The image depicts a scenic landscape with a wooden boardwalk or pathway leading through lush, green grass under a blue sky with some clouds. The setting suggests a peaceful natural area, possibly a park or nature reserve. There are trees and shrubs in the background.", - "annotations": [] - } - ] - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": null, - "summary": null - }, - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [], - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 328, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 52, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 380 - }, - "user": null, - "metadata": {} -} -``` - -### File input - -```python -from openai import OpenAI - -client = OpenAI() - -response = client.responses.create( - model="gpt-5.4", - input=[ - { - "role": "user", - "content": [ - { "type": "input_text", "text": "what is in this file?" }, - { - "type": "input_file", - "file_url": "https://www.berkshirehathaway.com/letters/2024ltr.pdf" - } - ] - } - ] -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_686eef60237881a2bd1180bb8b13de430e34c516d176ff86", - "object": "response", - "created_at": 1752100704, - "status": "completed", - "completed_at": 1752100705, - "background": false, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "max_tool_calls": null, - "model": "gpt-5.4", - "output": [ - { - "id": "msg_686eef60d3e081a29283bdcbc4322fd90e34c516d176ff86", - "type": "message", - "status": "completed", - "content": [ - { - "type": "output_text", - "annotations": [], - "logprobs": [], - "text": "The file seems to contain excerpts from a letter to the shareholders of Berkshire Hathaway Inc., likely written by Warren Buffett. It covers several topics:\n\n1. **Communication Philosophy**: Buffett emphasizes the importance of transparency and candidness in reporting mistakes and successes to shareholders.\n\n2. **Mistakes and Learnings**: The letter acknowledges past mistakes in business assessments and management hires, highlighting the importance of correcting errors promptly.\n\n3. **CEO Succession**: Mention of Greg Abel stepping in as the new CEO and continuing the tradition of honest communication.\n\n4. **Pete Liegl Story**: A detailed account of acquiring Forest River and the relationship with its founder, highlighting trust and effective business decisions.\n\n5. **2024 Performance**: Overview of business performance, particularly in insurance and investment activities, with a focus on GEICO's improvement.\n\n6. **Tax Contributions**: Discussion of significant tax payments to the U.S. Treasury, credited to shareholders' reinvestments.\n\n7. **Investment Strategy**: A breakdown of Berkshire\u2019s investments in both controlled subsidiaries and marketable equities, along with a focus on long-term holding strategies.\n\n8. **American Capitalism**: Reflections on America\u2019s economic development and Berkshire\u2019s role within it.\n\n9. **Property-Casualty Insurance**: Insights into the P/C insurance business model and its challenges and benefits.\n\n10. **Japanese Investments**: Information about Berkshire\u2019s investments in Japanese companies and future plans.\n\n11. **Annual Meeting**: Details about the upcoming annual gathering in Omaha, including schedule changes and new book releases.\n\n12. **Personal Anecdotes**: Light-hearted stories about family and interactions, conveying Buffett's personable approach.\n\n13. **Financial Performance Data**: Tables comparing Berkshire\u2019s annual performance to the S&P 500, showing impressive long-term gains.\n\nOverall, the letter reinforces Berkshire Hathaway's commitment to transparency, investment in both its businesses and the wider economy, and emphasizes strong leadership and prudent financial management." - } - ], - "role": "assistant" - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": null, - "summary": null - }, - "service_tier": "default", - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [], - "top_logprobs": 0, - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 8438, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 398, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 8836 - }, - "user": null, - "metadata": {} -} -``` - -### Web search - -```python -from openai import OpenAI - -client = OpenAI() - -response = client.responses.create( - model="gpt-5.4", - tools=[{ "type": "web_search_preview" }], - input="What was a positive news story from today?", -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_67ccf18ef5fc8190b16dbee19bc54e5f087bb177ab789d5c", - "object": "response", - "created_at": 1741484430, - "status": "completed", - "completed_at": 1741484431, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "model": "gpt-5.4", - "output": [ - { - "type": "web_search_call", - "id": "ws_67ccf18f64008190a39b619f4c8455ef087bb177ab789d5c", - "status": "completed" - }, - { - "type": "message", - "id": "msg_67ccf190ca3881909d433c50b1f6357e087bb177ab789d5c", - "status": "completed", - "role": "assistant", - "content": [ - { - "type": "output_text", - "text": "As of today, March 9, 2025, one notable positive news story...", - "annotations": [ - { - "type": "url_citation", - "start_index": 442, - "end_index": 557, - "url": "https://.../?utm_source=chatgpt.com", - "title": "..." - }, - { - "type": "url_citation", - "start_index": 962, - "end_index": 1077, - "url": "https://.../?utm_source=chatgpt.com", - "title": "..." - }, - { - "type": "url_citation", - "start_index": 1336, - "end_index": 1451, - "url": "https://.../?utm_source=chatgpt.com", - "title": "..." - } - ] - } - ] - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": null, - "summary": null - }, - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [ - { - "type": "web_search_preview", - "domains": [], - "search_context_size": "medium", - "user_location": { - "type": "approximate", - "city": null, - "country": "US", - "region": null, - "timezone": null - } - } - ], - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 328, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 356, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 684 - }, - "user": null, - "metadata": {} -} -``` - -### File search - -```python -from openai import OpenAI - -client = OpenAI() - -response = client.responses.create( - model="gpt-5.4", - tools=[{ - "type": "file_search", - "vector_store_ids": ["vs_1234567890"], - "max_num_results": 20 - }], - input="What are the attributes of an ancient brown dragon?", -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_67ccf4c55fc48190b71bd0463ad3306d09504fb6872380d7", - "object": "response", - "created_at": 1741485253, - "status": "completed", - "completed_at": 1741485254, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "model": "gpt-5.4", - "output": [ - { - "type": "file_search_call", - "id": "fs_67ccf4c63cd08190887ef6464ba5681609504fb6872380d7", - "status": "completed", - "queries": [ - "attributes of an ancient brown dragon" - ], - "results": null - }, - { - "type": "message", - "id": "msg_67ccf4c93e5c81909d595b369351a9d309504fb6872380d7", - "status": "completed", - "role": "assistant", - "content": [ - { - "type": "output_text", - "text": "The attributes of an ancient brown dragon include...", - "annotations": [ - { - "type": "file_citation", - "index": 320, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 576, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 815, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 815, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 1030, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 1030, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 1156, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - }, - { - "type": "file_citation", - "index": 1225, - "file_id": "file-4wDz5b167pAf72nx1h9eiN", - "filename": "dragons.pdf" - } - ] - } - ] - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": null, - "summary": null - }, - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [ - { - "type": "file_search", - "filters": null, - "max_num_results": 20, - "ranking_options": { - "ranker": "auto", - "score_threshold": 0.0 - }, - "vector_store_ids": [ - "vs_1234567890" - ] - } - ], - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 18307, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 348, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 18655 - }, - "user": null, - "metadata": {} -} -``` - -### Streaming - -```python -from openai import OpenAI - -client = OpenAI() - -response = client.responses.create( - model="gpt-5.4", - instructions="You are a helpful assistant.", - input="Hello!", - stream=True -) - -for event in response: - print(event) -``` - -#### Response - -```json -event: response.created -data: {"type":"response.created","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-5.4","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}} - -event: response.in_progress -data: {"type":"response.in_progress","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-5.4","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}} - -event: response.output_item.added -data: {"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"in_progress","role":"assistant","content":[]}} - -event: response.content_part.added -data: {"type":"response.content_part.added","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}} - -event: response.output_text.delta -data: {"type":"response.output_text.delta","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"delta":"Hi"} - -... - -event: response.output_text.done -data: {"type":"response.output_text.done","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"text":"Hi there! How can I assist you today?"} - -event: response.content_part.done -data: {"type":"response.content_part.done","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hi there! How can I assist you today?","annotations":[]}} - -event: response.output_item.done -data: {"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hi there! How can I assist you today?","annotations":[]}]}} - -event: response.completed -data: {"type":"response.completed","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"completed","error":null,"incomplete_details":null,"instructions":"You are a helpful assistant.","max_output_tokens":null,"model":"gpt-5.4","output":[{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hi there! How can I assist you today?","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":37,"output_tokens":11,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":48},"user":null,"metadata":{}}} -``` - -### Functions - -```python -from openai import OpenAI - -client = OpenAI() - -tools = [ - { - "type": "function", - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location", "unit"], - } - } -] - -response = client.responses.create( - model="gpt-5.4", - tools=tools, - input="What is the weather like in Boston today?", - tool_choice="auto" -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_67ca09c5efe0819096d0511c92b8c890096610f474011cc0", - "object": "response", - "created_at": 1741294021, - "status": "completed", - "completed_at": 1741294022, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "model": "gpt-5.4", - "output": [ - { - "type": "function_call", - "id": "fc_67ca09c6bedc8190a7abfec07b1a1332096610f474011cc0", - "call_id": "call_unLAR8MvFNptuiZK6K6HCy5k", - "name": "get_current_weather", - "arguments": "{\"location\":\"Boston, MA\",\"unit\":\"celsius\"}", - "status": "completed" - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": null, - "summary": null - }, - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [ - { - "type": "function", - "description": "Get the current weather in a given location", - "name": "get_current_weather", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "celsius", - "fahrenheit" - ] - } - }, - "required": [ - "location", - "unit" - ] - }, - "strict": true - } - ], - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 291, - "output_tokens": 23, - "output_tokens_details": { - "reasoning_tokens": 0 - }, - "total_tokens": 314 - }, - "user": null, - "metadata": {} -} -``` - -### Reasoning - -```python -from openai import OpenAI -client = OpenAI() - -response = client.responses.create( - model="o3-mini", - input="How much wood would a woodchuck chuck?", - reasoning={ - "effort": "high" - } -) - -print(response) -``` - -#### Response - -```json -{ - "id": "resp_67ccd7eca01881908ff0b5146584e408072912b2993db808", - "object": "response", - "created_at": 1741477868, - "status": "completed", - "completed_at": 1741477869, - "error": null, - "incomplete_details": null, - "instructions": null, - "max_output_tokens": null, - "model": "o1-2024-12-17", - "output": [ - { - "type": "message", - "id": "msg_67ccd7f7b5848190a6f3e95d809f6b44072912b2993db808", - "status": "completed", - "role": "assistant", - "content": [ - { - "type": "output_text", - "text": "The classic tongue twister...", - "annotations": [] - } - ] - } - ], - "parallel_tool_calls": true, - "previous_response_id": null, - "reasoning": { - "effort": "high", - "summary": null - }, - "store": true, - "temperature": 1.0, - "text": { - "format": { - "type": "text" - } - }, - "tool_choice": "auto", - "tools": [], - "top_p": 1.0, - "truncation": "disabled", - "usage": { - "input_tokens": 81, - "input_tokens_details": { - "cached_tokens": 0 - }, - "output_tokens": 1035, - "output_tokens_details": { - "reasoning_tokens": 832 - }, - "total_tokens": 1116 - }, - "user": null, - "metadata": {} -} -```