diff --git a/en/go/resources/responses/methods/create/index.md b/en/go/resources/responses/methods/create/index.md new file mode 100644 index 0000000..94f8e31 --- /dev/null +++ b/en/go/resources/responses/methods/create/index.md @@ -0,0 +1,8768 @@ +## Create a model response + +`client.Responses.New(ctx, body) (*Response, error)` + +**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 + +- `body ResponseNewParams` + + - `Background param.Field[bool]` + + Whether to run the model response in the background. + [Learn more](https://platform.openai.com/docs/guides/background). + + - `ContextManagement param.Field[[]ResponseNewParamsContextManagement]` + + Context management configuration for this request. + + - `Type string` + + The context management entry type. Currently only 'compaction' is supported. + + - `CompactThreshold int64` + + Token threshold at which compaction should be triggered for this entry. + + - `Conversation param.Field[ResponseNewParamsConversationUnion]` + + 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. + + - `string` + + - `type ResponseConversationParamResp struct{…}` + + The conversation that this response belongs to. + + - `ID string` + + The unique ID of the conversation. + + - `Include param.Field[[]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). + + - `const ResponseIncludableFileSearchCallResults ResponseIncludable = "file_search_call.results"` + + - `const ResponseIncludableWebSearchCallResults ResponseIncludable = "web_search_call.results"` + + - `const ResponseIncludableWebSearchCallActionSources ResponseIncludable = "web_search_call.action.sources"` + + - `const ResponseIncludableMessageInputImageImageURL ResponseIncludable = "message.input_image.image_url"` + + - `const ResponseIncludableComputerCallOutputOutputImageURL ResponseIncludable = "computer_call_output.output.image_url"` + + - `const ResponseIncludableCodeInterpreterCallOutputs ResponseIncludable = "code_interpreter_call.outputs"` + + - `const ResponseIncludableReasoningEncryptedContent ResponseIncludable = "reasoning.encrypted_content"` + + - `const ResponseIncludableMessageOutputTextLogprobs ResponseIncludable = "message.output_text.logprobs"` + + - `Input param.Field[ResponseNewParamsInputUnion]` + + 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) + + - `string` + + - `type ResponseInput []ResponseInputItemUnion` + + A list of one or many input items to the model, containing + different content types. + + - `type EasyInputMessage struct{…}` + + 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 EasyInputMessageContentUnion` + + Text, image, or audio input to the model, used to generate a response. + Can also contain previous assistant responses. + + - `string` + + - `type ResponseInputMessageContentList []ResponseInputContentUnion` + + A list of one or many input items to the model, containing different content + types. + + - `type ResponseInputText struct{…}` + + A text input to the model. + + - `Text string` + + The text input to the model. + + - `Type InputText` + + The type of the input item. Always `input_text`. + + - `const InputTextInputText InputText = "input_text"` + + - `type ResponseInputImage struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `Detail ResponseInputImageDetail` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `const ResponseInputImageDetailLow ResponseInputImageDetail = "low"` + + - `const ResponseInputImageDetailHigh ResponseInputImageDetail = "high"` + + - `const ResponseInputImageDetailAuto ResponseInputImageDetail = "auto"` + + - `const ResponseInputImageDetailOriginal ResponseInputImageDetail = "original"` + + - `Type InputImage` + + The type of the input item. Always `input_image`. + + - `const InputImageInputImage InputImage = "input_image"` + + - `FileID string` + + The ID of the file to be sent to the model. + + - `ImageURL string` + + The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. + + - `type ResponseInputFile struct{…}` + + A file input to the model. + + - `Type InputFile` + + The type of the input item. Always `input_file`. + + - `const InputFileInputFile InputFile = "input_file"` + + - `Detail ResponseInputFileDetail` + + 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`. + + - `const ResponseInputFileDetailLow ResponseInputFileDetail = "low"` + + - `const ResponseInputFileDetailHigh ResponseInputFileDetail = "high"` + + - `FileData string` + + The content of the file to be sent to the model. + + - `FileID string` + + The ID of the file to be sent to the model. + + - `FileURL string` + + The URL of the file to be sent to the model. + + - `Filename string` + + The name of the file to be sent to the model. + + - `Role EasyInputMessageRole` + + The role of the message input. One of `user`, `assistant`, `system`, or + `developer`. + + - `const EasyInputMessageRoleUser EasyInputMessageRole = "user"` + + - `const EasyInputMessageRoleAssistant EasyInputMessageRole = "assistant"` + + - `const EasyInputMessageRoleSystem EasyInputMessageRole = "system"` + + - `const EasyInputMessageRoleDeveloper EasyInputMessageRole = "developer"` + + - `Phase EasyInputMessagePhase` + + 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. + + - `const EasyInputMessagePhaseCommentary EasyInputMessagePhase = "commentary"` + + - `const EasyInputMessagePhaseFinalAnswer EasyInputMessagePhase = "final_answer"` + + - `Type EasyInputMessageType` + + The type of the message input. Always `message`. + + - `const EasyInputMessageTypeMessage EasyInputMessageType = "message"` + + - `type ResponseInputItemMessage struct{…}` + + 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. + + - `Role string` + + The role of the message input. One of `user`, `system`, or `developer`. + + - `const ResponseInputItemMessageRoleUser ResponseInputItemMessageRole = "user"` + + - `const ResponseInputItemMessageRoleSystem ResponseInputItemMessageRole = "system"` + + - `const ResponseInputItemMessageRoleDeveloper ResponseInputItemMessageRole = "developer"` + + - `Status string` + + The status of item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseInputItemMessageStatusInProgress ResponseInputItemMessageStatus = "in_progress"` + + - `const ResponseInputItemMessageStatusCompleted ResponseInputItemMessageStatus = "completed"` + + - `const ResponseInputItemMessageStatusIncomplete ResponseInputItemMessageStatus = "incomplete"` + + - `Type string` + + The type of the message input. Always set to `message`. + + - `const ResponseInputItemMessageTypeMessage ResponseInputItemMessageType = "message"` + + - `type ResponseOutputMessage struct{…}` + + An output message from the model. + + - `ID string` + + The unique ID of the output message. + + - `Content []ResponseOutputMessageContentUnion` + + The content of the output message. + + - `type ResponseOutputText struct{…}` + + A text output from the model. + + - `Annotations []ResponseOutputTextAnnotationUnion` + + The annotations of the text output. + + - `type ResponseOutputTextAnnotationFileCitation struct{…}` + + A citation to a file. + + - `FileID string` + + The ID of the file. + + - `Filename string` + + The filename of the file cited. + + - `Index int64` + + The index of the file in the list of files. + + - `Type FileCitation` + + The type of the file citation. Always `file_citation`. + + - `const FileCitationFileCitation FileCitation = "file_citation"` + + - `type ResponseOutputTextAnnotationURLCitation struct{…}` + + A citation for a web resource used to generate a model response. + + - `EndIndex int64` + + The index of the last character of the URL citation in the message. + + - `StartIndex int64` + + The index of the first character of the URL citation in the message. + + - `Title string` + + The title of the web resource. + + - `Type URLCitation` + + The type of the URL citation. Always `url_citation`. + + - `const URLCitationURLCitation URLCitation = "url_citation"` + + - `URL string` + + The URL of the web resource. + + - `type ResponseOutputTextAnnotationContainerFileCitation struct{…}` + + A citation for a container file used to generate a model response. + + - `ContainerID string` + + The ID of the container file. + + - `EndIndex int64` + + The index of the last character of the container file citation in the message. + + - `FileID string` + + The ID of the file. + + - `Filename string` + + The filename of the container file cited. + + - `StartIndex int64` + + The index of the first character of the container file citation in the message. + + - `Type ContainerFileCitation` + + The type of the container file citation. Always `container_file_citation`. + + - `const ContainerFileCitationContainerFileCitation ContainerFileCitation = "container_file_citation"` + + - `type ResponseOutputTextAnnotationFilePath struct{…}` + + A path to a file. + + - `FileID string` + + The ID of the file. + + - `Index int64` + + The index of the file in the list of files. + + - `Type FilePath` + + The type of the file path. Always `file_path`. + + - `const FilePathFilePath FilePath = "file_path"` + + - `Text string` + + The text output from the model. + + - `Type OutputText` + + The type of the output text. Always `output_text`. + + - `const OutputTextOutputText OutputText = "output_text"` + + - `Logprobs []ResponseOutputTextLogprob` + + - `Token string` + + - `Bytes []int64` + + - `Logprob float64` + + - `TopLogprobs []ResponseOutputTextLogprobTopLogprob` + + - `Token string` + + - `Bytes []int64` + + - `Logprob float64` + + - `type ResponseOutputRefusal struct{…}` + + A refusal from the model. + + - `Refusal string` + + The refusal explanation from the model. + + - `Type Refusal` + + The type of the refusal. Always `refusal`. + + - `const RefusalRefusal Refusal = "refusal"` + + - `Role Assistant` + + The role of the output message. Always `assistant`. + + - `const AssistantAssistant Assistant = "assistant"` + + - `Status ResponseOutputMessageStatus` + + The status of the message input. One of `in_progress`, `completed`, or + `incomplete`. Populated when input items are returned via API. + + - `const ResponseOutputMessageStatusInProgress ResponseOutputMessageStatus = "in_progress"` + + - `const ResponseOutputMessageStatusCompleted ResponseOutputMessageStatus = "completed"` + + - `const ResponseOutputMessageStatusIncomplete ResponseOutputMessageStatus = "incomplete"` + + - `Type Message` + + The type of the output message. Always `message`. + + - `const MessageMessage Message = "message"` + + - `Phase ResponseOutputMessagePhase` + + 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. + + - `const ResponseOutputMessagePhaseCommentary ResponseOutputMessagePhase = "commentary"` + + - `const ResponseOutputMessagePhaseFinalAnswer ResponseOutputMessagePhase = "final_answer"` + + - `type ResponseFileSearchToolCall struct{…}` + + 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 string` + + The unique ID of the file search tool call. + + - `Queries []string` + + The queries used to search for files. + + - `Status ResponseFileSearchToolCallStatus` + + The status of the file search tool call. One of `in_progress`, + `searching`, `incomplete` or `failed`, + + - `const ResponseFileSearchToolCallStatusInProgress ResponseFileSearchToolCallStatus = "in_progress"` + + - `const ResponseFileSearchToolCallStatusSearching ResponseFileSearchToolCallStatus = "searching"` + + - `const ResponseFileSearchToolCallStatusCompleted ResponseFileSearchToolCallStatus = "completed"` + + - `const ResponseFileSearchToolCallStatusIncomplete ResponseFileSearchToolCallStatus = "incomplete"` + + - `const ResponseFileSearchToolCallStatusFailed ResponseFileSearchToolCallStatus = "failed"` + + - `Type FileSearchCall` + + The type of the file search tool call. Always `file_search_call`. + + - `const FileSearchCallFileSearchCall FileSearchCall = "file_search_call"` + + - `Results []ResponseFileSearchToolCallResult` + + The results of the file search tool call. + + - `Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]` + + 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. + + - `string` + + - `float64` + + - `bool` + + - `FileID string` + + The unique ID of the file. + + - `Filename string` + + The name of the file. + + - `Score float64` + + The relevance score of the file - a value between 0 and 1. + + - `Text string` + + The text that was retrieved from the file. + + - `type ResponseComputerToolCall struct{…}` + + 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 string` + + The unique ID of the computer call. + + - `CallID string` + + An identifier used when responding to the tool call with output. + + - `PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheck` + + The pending safety checks for the computer call. + + - `ID string` + + The ID of the pending safety check. + + - `Code string` + + The type of the pending safety check. + + - `Message string` + + Details about the pending safety check. + + - `Status ResponseComputerToolCallStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseComputerToolCallStatusInProgress ResponseComputerToolCallStatus = "in_progress"` + + - `const ResponseComputerToolCallStatusCompleted ResponseComputerToolCallStatus = "completed"` + + - `const ResponseComputerToolCallStatusIncomplete ResponseComputerToolCallStatus = "incomplete"` + + - `Type ResponseComputerToolCallType` + + The type of the computer call. Always `computer_call`. + + - `const ResponseComputerToolCallTypeComputerCall ResponseComputerToolCallType = "computer_call"` + + - `Action ResponseComputerToolCallActionUnion` + + A click action. + + - `type ResponseComputerToolCallActionClick struct{…}` + + A click action. + + - `Button string` + + Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. + + - `const ResponseComputerToolCallActionClickButtonLeft ResponseComputerToolCallActionClickButton = "left"` + + - `const ResponseComputerToolCallActionClickButtonRight ResponseComputerToolCallActionClickButton = "right"` + + - `const ResponseComputerToolCallActionClickButtonWheel ResponseComputerToolCallActionClickButton = "wheel"` + + - `const ResponseComputerToolCallActionClickButtonBack ResponseComputerToolCallActionClickButton = "back"` + + - `const ResponseComputerToolCallActionClickButtonForward ResponseComputerToolCallActionClickButton = "forward"` + + - `Type Click` + + Specifies the event type. For a click action, this property is always `click`. + + - `const ClickClick Click = "click"` + + - `X int64` + + The x-coordinate where the click occurred. + + - `Y int64` + + The y-coordinate where the click occurred. + + - `Keys []string` + + The keys being held while clicking. + + - `type ResponseComputerToolCallActionDoubleClick struct{…}` + + A double click action. + + - `Keys []string` + + The keys being held while double-clicking. + + - `Type DoubleClick` + + Specifies the event type. For a double click action, this property is always set to `double_click`. + + - `const DoubleClickDoubleClick DoubleClick = "double_click"` + + - `X int64` + + The x-coordinate where the double click occurred. + + - `Y int64` + + The y-coordinate where the double click occurred. + + - `type ResponseComputerToolCallActionDrag struct{…}` + + A drag action. + + - `Path []ResponseComputerToolCallActionDragPath` + + 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 int64` + + The x-coordinate. + + - `Y int64` + + The y-coordinate. + + - `Type Drag` + + Specifies the event type. For a drag action, this property is always set to `drag`. + + - `const DragDrag Drag = "drag"` + + - `Keys []string` + + The keys being held while dragging the mouse. + + - `type ResponseComputerToolCallActionKeypress struct{…}` + + A collection of keypresses the model would like to perform. + + - `Keys []string` + + The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. + + - `Type Keypress` + + Specifies the event type. For a keypress action, this property is always set to `keypress`. + + - `const KeypressKeypress Keypress = "keypress"` + + - `type ResponseComputerToolCallActionMove struct{…}` + + A mouse move action. + + - `Type Move` + + Specifies the event type. For a move action, this property is always set to `move`. + + - `const MoveMove Move = "move"` + + - `X int64` + + The x-coordinate to move to. + + - `Y int64` + + The y-coordinate to move to. + + - `Keys []string` + + The keys being held while moving the mouse. + + - `type ResponseComputerToolCallActionScreenshot struct{…}` + + A screenshot action. + + - `Type Screenshot` + + Specifies the event type. For a screenshot action, this property is always set to `screenshot`. + + - `const ScreenshotScreenshot Screenshot = "screenshot"` + + - `type ResponseComputerToolCallActionScroll struct{…}` + + A scroll action. + + - `ScrollX int64` + + The horizontal scroll distance. + + - `ScrollY int64` + + The vertical scroll distance. + + - `Type Scroll` + + Specifies the event type. For a scroll action, this property is always set to `scroll`. + + - `const ScrollScroll Scroll = "scroll"` + + - `X int64` + + The x-coordinate where the scroll occurred. + + - `Y int64` + + The y-coordinate where the scroll occurred. + + - `Keys []string` + + The keys being held while scrolling. + + - `type ResponseComputerToolCallActionType struct{…}` + + An action to type in text. + + - `Text string` + + The text to type. + + - `Type Type` + + Specifies the event type. For a type action, this property is always set to `type`. + + - `const TypeType Type = "type"` + + - `type ResponseComputerToolCallActionWait struct{…}` + + A wait action. + + - `Type Wait` + + Specifies the event type. For a wait action, this property is always set to `wait`. + + - `const WaitWait Wait = "wait"` + + - `Actions ComputerActionList` + + Flattened batched actions for `computer_use`. Each action includes an + `type` discriminator and action-specific fields. + + - `type ComputerActionClick struct{…}` + + A click action. + + - `Button string` + + Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. + + - `const ComputerActionClickButtonLeft ComputerActionClickButton = "left"` + + - `const ComputerActionClickButtonRight ComputerActionClickButton = "right"` + + - `const ComputerActionClickButtonWheel ComputerActionClickButton = "wheel"` + + - `const ComputerActionClickButtonBack ComputerActionClickButton = "back"` + + - `const ComputerActionClickButtonForward ComputerActionClickButton = "forward"` + + - `Type Click` + + Specifies the event type. For a click action, this property is always `click`. + + - `const ClickClick Click = "click"` + + - `X int64` + + The x-coordinate where the click occurred. + + - `Y int64` + + The y-coordinate where the click occurred. + + - `Keys []string` + + The keys being held while clicking. + + - `type ComputerActionDoubleClick struct{…}` + + A double click action. + + - `Keys []string` + + The keys being held while double-clicking. + + - `Type DoubleClick` + + Specifies the event type. For a double click action, this property is always set to `double_click`. + + - `const DoubleClickDoubleClick DoubleClick = "double_click"` + + - `X int64` + + The x-coordinate where the double click occurred. + + - `Y int64` + + The y-coordinate where the double click occurred. + + - `type ComputerActionDrag struct{…}` + + A drag action. + + - `Path []ComputerActionDragPath` + + 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 int64` + + The x-coordinate. + + - `Y int64` + + The y-coordinate. + + - `Type Drag` + + Specifies the event type. For a drag action, this property is always set to `drag`. + + - `const DragDrag Drag = "drag"` + + - `Keys []string` + + The keys being held while dragging the mouse. + + - `type ComputerActionKeypress struct{…}` + + A collection of keypresses the model would like to perform. + + - `Keys []string` + + The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. + + - `Type Keypress` + + Specifies the event type. For a keypress action, this property is always set to `keypress`. + + - `const KeypressKeypress Keypress = "keypress"` + + - `type ComputerActionMove struct{…}` + + A mouse move action. + + - `Type Move` + + Specifies the event type. For a move action, this property is always set to `move`. + + - `const MoveMove Move = "move"` + + - `X int64` + + The x-coordinate to move to. + + - `Y int64` + + The y-coordinate to move to. + + - `Keys []string` + + The keys being held while moving the mouse. + + - `type ComputerActionScreenshot struct{…}` + + A screenshot action. + + - `Type Screenshot` + + Specifies the event type. For a screenshot action, this property is always set to `screenshot`. + + - `const ScreenshotScreenshot Screenshot = "screenshot"` + + - `type ComputerActionScroll struct{…}` + + A scroll action. + + - `ScrollX int64` + + The horizontal scroll distance. + + - `ScrollY int64` + + The vertical scroll distance. + + - `Type Scroll` + + Specifies the event type. For a scroll action, this property is always set to `scroll`. + + - `const ScrollScroll Scroll = "scroll"` + + - `X int64` + + The x-coordinate where the scroll occurred. + + - `Y int64` + + The y-coordinate where the scroll occurred. + + - `Keys []string` + + The keys being held while scrolling. + + - `type ComputerActionType struct{…}` + + An action to type in text. + + - `Text string` + + The text to type. + + - `Type Type` + + Specifies the event type. For a type action, this property is always set to `type`. + + - `const TypeType Type = "type"` + + - `type ComputerActionWait struct{…}` + + A wait action. + + - `Type Wait` + + Specifies the event type. For a wait action, this property is always set to `wait`. + + - `const WaitWait Wait = "wait"` + + - `type ResponseInputItemComputerCallOutput struct{…}` + + The output of a computer tool call. + + - `CallID string` + + The ID of the computer tool call that produced the output. + + - `Output ResponseComputerToolCallOutputScreenshot` + + A computer screenshot image used with the computer use tool. + + - `Type ComputerScreenshot` + + Specifies the event type. For a computer screenshot, this property is + always set to `computer_screenshot`. + + - `const ComputerScreenshotComputerScreenshot ComputerScreenshot = "computer_screenshot"` + + - `FileID string` + + The identifier of an uploaded file that contains the screenshot. + + - `ImageURL string` + + The URL of the screenshot image. + + - `Type ComputerCallOutput` + + The type of the computer tool call output. Always `computer_call_output`. + + - `const ComputerCallOutputComputerCallOutput ComputerCallOutput = "computer_call_output"` + + - `ID string` + + The ID of the computer tool call output. + + - `AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheck` + + The safety checks reported by the API that have been acknowledged by the developer. + + - `ID string` + + The ID of the pending safety check. + + - `Code string` + + The type of the pending safety check. + + - `Message string` + + Details about the pending safety check. + + - `Status string` + + The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. + + - `const ResponseInputItemComputerCallOutputStatusInProgress ResponseInputItemComputerCallOutputStatus = "in_progress"` + + - `const ResponseInputItemComputerCallOutputStatusCompleted ResponseInputItemComputerCallOutputStatus = "completed"` + + - `const ResponseInputItemComputerCallOutputStatusIncomplete ResponseInputItemComputerCallOutputStatus = "incomplete"` + + - `type ResponseFunctionWebSearch struct{…}` + + 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 string` + + The unique ID of the web search tool call. + + - `Action ResponseFunctionWebSearchActionUnion` + + 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). + + - `type ResponseFunctionWebSearchActionSearch struct{…}` + + Action type "search" - Performs a web search query. + + - `Type Search` + + The action type. + + - `const SearchSearch Search = "search"` + + - `Queries []string` + + The search queries. + + - `Query string` + + The search query. + + - `Sources []ResponseFunctionWebSearchActionSearchSource` + + The sources used in the search. + + - `Type URL` + + The type of source. Always `url`. + + - `const URLURL URL = "url"` + + - `URL string` + + The URL of the source. + + - `type ResponseFunctionWebSearchActionOpenPage struct{…}` + + Action type "open_page" - Opens a specific URL from search results. + + - `Type OpenPage` + + The action type. + + - `const OpenPageOpenPage OpenPage = "open_page"` + + - `URL string` + + The URL opened by the model. + + - `type ResponseFunctionWebSearchActionFindInPage struct{…}` + + Action type "find_in_page": Searches for a pattern within a loaded page. + + - `Pattern string` + + The pattern or text to search for within the page. + + - `Type FindInPage` + + The action type. + + - `const FindInPageFindInPage FindInPage = "find_in_page"` + + - `URL string` + + The URL of the page searched for the pattern. + + - `Status ResponseFunctionWebSearchStatus` + + The status of the web search tool call. + + - `const ResponseFunctionWebSearchStatusInProgress ResponseFunctionWebSearchStatus = "in_progress"` + + - `const ResponseFunctionWebSearchStatusSearching ResponseFunctionWebSearchStatus = "searching"` + + - `const ResponseFunctionWebSearchStatusCompleted ResponseFunctionWebSearchStatus = "completed"` + + - `const ResponseFunctionWebSearchStatusFailed ResponseFunctionWebSearchStatus = "failed"` + + - `Type WebSearchCall` + + The type of the web search tool call. Always `web_search_call`. + + - `const WebSearchCallWebSearchCall WebSearchCall = "web_search_call"` + + - `type ResponseFunctionToolCall struct{…}` + + A tool call to run a function. See the + [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. + + - `Arguments string` + + A JSON string of the arguments to pass to the function. + + - `CallID string` + + The unique ID of the function tool call generated by the model. + + - `Name string` + + The name of the function to run. + + - `Type FunctionCall` + + The type of the function tool call. Always `function_call`. + + - `const FunctionCallFunctionCall FunctionCall = "function_call"` + + - `ID string` + + The unique ID of the function tool call. + + - `Namespace string` + + The namespace of the function to run. + + - `Status ResponseFunctionToolCallStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseFunctionToolCallStatusInProgress ResponseFunctionToolCallStatus = "in_progress"` + + - `const ResponseFunctionToolCallStatusCompleted ResponseFunctionToolCallStatus = "completed"` + + - `const ResponseFunctionToolCallStatusIncomplete ResponseFunctionToolCallStatus = "incomplete"` + + - `type ResponseInputItemFunctionCallOutput struct{…}` + + The output of a function tool call. + + - `CallID string` + + The unique ID of the function tool call generated by the model. + + - `Output ResponseInputItemFunctionCallOutputOutputUnion` + + Text, image, or file output of the function tool call. + + - `string` + + - `type ResponseFunctionCallOutputItemList []ResponseFunctionCallOutputItemUnion` + + An array of content outputs (text, image, file) for the function tool call. + + - `type ResponseInputTextContent struct{…}` + + A text input to the model. + + - `Text string` + + The text input to the model. + + - `Type InputText` + + The type of the input item. Always `input_text`. + + - `const InputTextInputText InputText = "input_text"` + + - `type ResponseInputImageContent struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision) + + - `Type InputImage` + + The type of the input item. Always `input_image`. + + - `const InputImageInputImage InputImage = "input_image"` + + - `Detail ResponseInputImageContentDetail` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `const ResponseInputImageContentDetailLow ResponseInputImageContentDetail = "low"` + + - `const ResponseInputImageContentDetailHigh ResponseInputImageContentDetail = "high"` + + - `const ResponseInputImageContentDetailAuto ResponseInputImageContentDetail = "auto"` + + - `const ResponseInputImageContentDetailOriginal ResponseInputImageContentDetail = "original"` + + - `FileID string` + + The ID of the file to be sent to the model. + + - `ImageURL string` + + The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. + + - `type ResponseInputFileContent struct{…}` + + A file input to the model. + + - `Type InputFile` + + The type of the input item. Always `input_file`. + + - `const InputFileInputFile InputFile = "input_file"` + + - `Detail ResponseInputFileContentDetail` + + 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`. + + - `const ResponseInputFileContentDetailLow ResponseInputFileContentDetail = "low"` + + - `const ResponseInputFileContentDetailHigh ResponseInputFileContentDetail = "high"` + + - `FileData string` + + The base64-encoded data of the file to be sent to the model. + + - `FileID string` + + The ID of the file to be sent to the model. + + - `FileURL string` + + The URL of the file to be sent to the model. + + - `Filename string` + + The name of the file to be sent to the model. + + - `Type FunctionCallOutput` + + The type of the function tool call output. Always `function_call_output`. + + - `const FunctionCallOutputFunctionCallOutput FunctionCallOutput = "function_call_output"` + + - `ID string` + + The unique ID of the function tool call output. Populated when this item is returned via API. + + - `Status string` + + The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. + + - `const ResponseInputItemFunctionCallOutputStatusInProgress ResponseInputItemFunctionCallOutputStatus = "in_progress"` + + - `const ResponseInputItemFunctionCallOutputStatusCompleted ResponseInputItemFunctionCallOutputStatus = "completed"` + + - `const ResponseInputItemFunctionCallOutputStatusIncomplete ResponseInputItemFunctionCallOutputStatus = "incomplete"` + + - `type ResponseInputItemToolSearchCall struct{…}` + + - `Arguments any` + + The arguments supplied to the tool search call. + + - `Type ToolSearchCall` + + The item type. Always `tool_search_call`. + + - `const ToolSearchCallToolSearchCall ToolSearchCall = "tool_search_call"` + + - `ID string` + + The unique ID of this tool search call. + + - `CallID string` + + The unique ID of the tool search call generated by the model. + + - `Execution string` + + Whether tool search was executed by the server or by the client. + + - `const ResponseInputItemToolSearchCallExecutionServer ResponseInputItemToolSearchCallExecution = "server"` + + - `const ResponseInputItemToolSearchCallExecutionClient ResponseInputItemToolSearchCallExecution = "client"` + + - `Status string` + + The status of the tool search call. + + - `const ResponseInputItemToolSearchCallStatusInProgress ResponseInputItemToolSearchCallStatus = "in_progress"` + + - `const ResponseInputItemToolSearchCallStatusCompleted ResponseInputItemToolSearchCallStatus = "completed"` + + - `const ResponseInputItemToolSearchCallStatusIncomplete ResponseInputItemToolSearchCallStatus = "incomplete"` + + - `type ResponseToolSearchOutputItemParamResp struct{…}` + + - `Tools []ToolUnion` + + The loaded tool definitions returned by the tool search output. + + - `type FunctionTool struct{…}` + + 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 string` + + The name of the function to call. + + - `Parameters map[string, any]` + + A JSON schema object describing the parameters of the function. + + - `Strict bool` + + Whether to enforce strict parameter validation. Default `true`. + + - `Type Function` + + The type of the function tool. Always `function`. + + - `const FunctionFunction Function = "function"` + + - `DeferLoading bool` + + Whether this function is deferred and loaded via tool search. + + - `Description string` + + A description of the function. Used by the model to determine whether or not to call the function. + + - `type FileSearchTool struct{…}` + + 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 FileSearch` + + The type of the file search tool. Always `file_search`. + + - `const FileSearchFileSearch FileSearch = "file_search"` + + - `VectorStoreIDs []string` + + The IDs of the vector stores to search. + + - `Filters FileSearchToolFiltersUnion` + + A filter to apply. + + - `type ComparisonFilter struct{…}` + + A filter used to compare a specified attribute key to a given value using a defined comparison operation. + + - `Key string` + + The key to compare against the value. + + - `Type ComparisonFilterType` + + 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 + + - `const ComparisonFilterTypeEq ComparisonFilterType = "eq"` + + - `const ComparisonFilterTypeNe ComparisonFilterType = "ne"` + + - `const ComparisonFilterTypeGt ComparisonFilterType = "gt"` + + - `const ComparisonFilterTypeGte ComparisonFilterType = "gte"` + + - `const ComparisonFilterTypeLt ComparisonFilterType = "lt"` + + - `const ComparisonFilterTypeLte ComparisonFilterType = "lte"` + + - `const ComparisonFilterTypeIn ComparisonFilterType = "in"` + + - `const ComparisonFilterTypeNin ComparisonFilterType = "nin"` + + - `Value ComparisonFilterValueUnion` + + The value to compare against the attribute key; supports string, number, or boolean types. + + - `string` + + - `float64` + + - `bool` + + - `type ComparisonFilterValueArray []ComparisonFilterValueArrayItemUnion` + + - `string` + + - `float64` + + - `type CompoundFilter struct{…}` + + Combine multiple filters using `and` or `or`. + + - `Filters []ComparisonFilter` + + Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. + + - `type ComparisonFilter struct{…}` + + A filter used to compare a specified attribute key to a given value using a defined comparison operation. + + - `Type CompoundFilterType` + + Type of operation: `and` or `or`. + + - `const CompoundFilterTypeAnd CompoundFilterType = "and"` + + - `const CompoundFilterTypeOr CompoundFilterType = "or"` + + - `MaxNumResults int64` + + The maximum number of results to return. This number should be between 1 and 50 inclusive. + + - `RankingOptions FileSearchToolRankingOptions` + + Ranking options for search. + + - `HybridSearch FileSearchToolRankingOptionsHybridSearch` + + Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled. + + - `EmbeddingWeight float64` + + The weight of the embedding in the reciprocal ranking fusion. + + - `TextWeight float64` + + The weight of the text in the reciprocal ranking fusion. + + - `Ranker string` + + The ranker to use for the file search. + + - `const FileSearchToolRankingOptionsRankerAuto FileSearchToolRankingOptionsRanker = "auto"` + + - `const FileSearchToolRankingOptionsRankerDefault2024_11_15 FileSearchToolRankingOptionsRanker = "default-2024-11-15"` + + - `ScoreThreshold float64` + + 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. + + - `type ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `Type Computer` + + The type of the computer tool. Always `computer`. + + - `const ComputerComputer Computer = "computer"` + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `DisplayHeight int64` + + The height of the computer display. + + - `DisplayWidth int64` + + The width of the computer display. + + - `Environment ComputerUsePreviewToolEnvironment` + + The type of computer environment to control. + + - `const ComputerUsePreviewToolEnvironmentWindows ComputerUsePreviewToolEnvironment = "windows"` + + - `const ComputerUsePreviewToolEnvironmentMac ComputerUsePreviewToolEnvironment = "mac"` + + - `const ComputerUsePreviewToolEnvironmentLinux ComputerUsePreviewToolEnvironment = "linux"` + + - `const ComputerUsePreviewToolEnvironmentUbuntu ComputerUsePreviewToolEnvironment = "ubuntu"` + + - `const ComputerUsePreviewToolEnvironmentBrowser ComputerUsePreviewToolEnvironment = "browser"` + + - `Type ComputerUsePreview` + + The type of the computer use tool. Always `computer_use_preview`. + + - `const ComputerUsePreviewComputerUsePreview ComputerUsePreview = "computer_use_preview"` + + - `type WebSearchTool struct{…}` + + 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 WebSearchToolType` + + The type of the web search tool. One of `web_search` or `web_search_2025_08_26`. + + - `const WebSearchToolTypeWebSearch WebSearchToolType = "web_search"` + + - `const WebSearchToolTypeWebSearch2025_08_26 WebSearchToolType = "web_search_2025_08_26"` + + - `Filters WebSearchToolFilters` + + Filters for the search. + + - `AllowedDomains []string` + + 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"]` + + - `SearchContextSize WebSearchToolSearchContextSize` + + 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. + + - `const WebSearchToolSearchContextSizeLow WebSearchToolSearchContextSize = "low"` + + - `const WebSearchToolSearchContextSizeMedium WebSearchToolSearchContextSize = "medium"` + + - `const WebSearchToolSearchContextSizeHigh WebSearchToolSearchContextSize = "high"` + + - `UserLocation WebSearchToolUserLocation` + + The approximate location of the user. + + - `City string` + + Free text input for the city of the user, e.g. `San Francisco`. + + - `Country string` + + The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. + + - `Region string` + + Free text input for the region of the user, e.g. `California`. + + - `Timezone string` + + The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. + + - `Type string` + + The type of location approximation. Always `approximate`. + + - `const WebSearchToolUserLocationTypeApproximate WebSearchToolUserLocationType = "approximate"` + + - `type ToolMcp struct{…}` + + 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). + + - `ServerLabel string` + + A label for this MCP server, used to identify it in tool calls. + + - `Type Mcp` + + The type of the MCP tool. Always `mcp`. + + - `const McpMcp Mcp = "mcp"` + + - `AllowedTools ToolMcpAllowedToolsUnion` + + List of allowed tool names or a filter object. + + - `type ToolMcpAllowedToolsMcpAllowedTools []string` + + A string array of allowed tool names + + - `type ToolMcpAllowedToolsMcpToolFilter struct{…}` + + A filter object to specify which tools are allowed. + + - `ReadOnly 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. + + - `ToolNames []string` + + List of allowed tool names. + + - `Authorization string` + + 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. + + - `ConnectorID string` + + 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` + + - `const ToolMcpConnectorIDConnectorDropbox ToolMcpConnectorID = "connector_dropbox"` + + - `const ToolMcpConnectorIDConnectorGmail ToolMcpConnectorID = "connector_gmail"` + + - `const ToolMcpConnectorIDConnectorGooglecalendar ToolMcpConnectorID = "connector_googlecalendar"` + + - `const ToolMcpConnectorIDConnectorGoogledrive ToolMcpConnectorID = "connector_googledrive"` + + - `const ToolMcpConnectorIDConnectorMicrosoftteams ToolMcpConnectorID = "connector_microsoftteams"` + + - `const ToolMcpConnectorIDConnectorOutlookcalendar ToolMcpConnectorID = "connector_outlookcalendar"` + + - `const ToolMcpConnectorIDConnectorOutlookemail ToolMcpConnectorID = "connector_outlookemail"` + + - `const ToolMcpConnectorIDConnectorSharepoint ToolMcpConnectorID = "connector_sharepoint"` + + - `DeferLoading bool` + + Whether this MCP tool is deferred and discovered via tool search. + + - `Headers map[string, string]` + + Optional HTTP headers to send to the MCP server. Use for authentication + or other purposes. + + - `RequireApproval ToolMcpRequireApprovalUnion` + + Specify which of the MCP server's tools require approval. + + - `type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}` + + 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 ToolMcpRequireApprovalMcpToolApprovalFilterAlways` + + A filter object to specify which tools are allowed. + + - `ReadOnly 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. + + - `ToolNames []string` + + List of allowed tool names. + + - `Never ToolMcpRequireApprovalMcpToolApprovalFilterNever` + + A filter object to specify which tools are allowed. + + - `ReadOnly 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. + + - `ToolNames []string` + + List of allowed tool names. + + - `type ToolMcpRequireApprovalMcpToolApprovalSetting string` + + 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. + + - `const ToolMcpRequireApprovalMcpToolApprovalSettingAlways ToolMcpRequireApprovalMcpToolApprovalSetting = "always"` + + - `const ToolMcpRequireApprovalMcpToolApprovalSettingNever ToolMcpRequireApprovalMcpToolApprovalSetting = "never"` + + - `ServerDescription string` + + Optional description of the MCP server, used to provide more context. + + - `ServerURL string` + + The URL for the MCP server. One of `server_url` or `connector_id` must be + provided. + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `Container ToolCodeInterpreterContainerUnion` + + 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. + + - `string` + + - `type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}` + + Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on. + + - `Type Auto` + + Always `auto`. + + - `const AutoAuto Auto = "auto"` + + - `FileIDs []string` + + An optional list of uploaded files to make available to your code. + + - `MemoryLimit string` + + The memory limit for the code interpreter container. + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit1g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "1g"` + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit4g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "4g"` + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit16g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "16g"` + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit64g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "64g"` + + - `NetworkPolicy ToolCodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicyUnion` + + Network access policy for the container. + + - `type ContainerNetworkPolicyDisabled struct{…}` + + - `Type Disabled` + + Disable outbound network access. Always `disabled`. + + - `const DisabledDisabled Disabled = "disabled"` + + - `type ContainerNetworkPolicyAllowlist struct{…}` + + - `AllowedDomains []string` + + A list of allowed domains when type is `allowlist`. + + - `Type Allowlist` + + Allow outbound network access only to specified domains. Always `allowlist`. + + - `const AllowlistAllowlist Allowlist = "allowlist"` + + - `DomainSecrets []ContainerNetworkPolicyDomainSecret` + + Optional domain-scoped secrets for allowlisted domains. + + - `Domain string` + + The domain associated with the secret. + + - `Name string` + + The name of the secret to inject for the domain. + + - `Value string` + + The secret value to inject for the domain. + + - `Type CodeInterpreter` + + The type of the code interpreter tool. Always `code_interpreter`. + + - `const CodeInterpreterCodeInterpreter CodeInterpreter = "code_interpreter"` + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `Type ImageGeneration` + + The type of the image generation tool. Always `image_generation`. + + - `const ImageGenerationImageGeneration ImageGeneration = "image_generation"` + + - `Action string` + + Whether to generate a new image or edit an existing image. Default: `auto`. + + - `const ToolImageGenerationActionGenerate ToolImageGenerationAction = "generate"` + + - `const ToolImageGenerationActionEdit ToolImageGenerationAction = "edit"` + + - `const ToolImageGenerationActionAuto ToolImageGenerationAction = "auto"` + + - `Background string` + + 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`. + + - `const ToolImageGenerationBackgroundTransparent ToolImageGenerationBackground = "transparent"` + + - `const ToolImageGenerationBackgroundOpaque ToolImageGenerationBackground = "opaque"` + + - `const ToolImageGenerationBackgroundAuto ToolImageGenerationBackground = "auto"` + + - `InputFidelity string` + + 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`. + + - `const ToolImageGenerationInputFidelityHigh ToolImageGenerationInputFidelity = "high"` + + - `const ToolImageGenerationInputFidelityLow ToolImageGenerationInputFidelity = "low"` + + - `InputImageMask ToolImageGenerationInputImageMask` + + Optional mask for inpainting. Contains `image_url` + (string, optional) and `file_id` (string, optional). + + - `FileID string` + + File ID for the mask image. + + - `ImageURL string` + + Base64-encoded mask image. + + - `Model string` + + The image generation model to use. Default: `gpt-image-1`. + + - `string` + + - `string` + + - `const ToolImageGenerationModelGPTImage1 ToolImageGenerationModel = "gpt-image-1"` + + - `const ToolImageGenerationModelGPTImage1Mini ToolImageGenerationModel = "gpt-image-1-mini"` + + - `const ToolImageGenerationModelGPTImage2 ToolImageGenerationModel = "gpt-image-2"` + + - `const ToolImageGenerationModelGPTImage2_2026_04_21 ToolImageGenerationModel = "gpt-image-2-2026-04-21"` + + - `const ToolImageGenerationModelGPTImage1_5 ToolImageGenerationModel = "gpt-image-1.5"` + + - `const ToolImageGenerationModelChatgptImageLatest ToolImageGenerationModel = "chatgpt-image-latest"` + + - `Moderation string` + + Moderation level for the generated image. Default: `auto`. + + - `const ToolImageGenerationModerationAuto ToolImageGenerationModeration = "auto"` + + - `const ToolImageGenerationModerationLow ToolImageGenerationModeration = "low"` + + - `OutputCompression int64` + + Compression level for the output image. Default: 100. + + - `OutputFormat string` + + The output format of the generated image. One of `png`, `webp`, or + `jpeg`. Default: `png`. + + - `const ToolImageGenerationOutputFormatPNG ToolImageGenerationOutputFormat = "png"` + + - `const ToolImageGenerationOutputFormatWebP ToolImageGenerationOutputFormat = "webp"` + + - `const ToolImageGenerationOutputFormatJPEG ToolImageGenerationOutputFormat = "jpeg"` + + - `PartialImages int64` + + Number of partial images to generate in streaming mode, from 0 (default value) to 3. + + - `Quality string` + + The quality of the generated image. One of `low`, `medium`, `high`, + or `auto`. Default: `auto`. + + - `const ToolImageGenerationQualityLow ToolImageGenerationQuality = "low"` + + - `const ToolImageGenerationQualityMedium ToolImageGenerationQuality = "medium"` + + - `const ToolImageGenerationQualityHigh ToolImageGenerationQuality = "high"` + + - `const ToolImageGenerationQualityAuto ToolImageGenerationQuality = "auto"` + + - `Size string` + + 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`. + + - `string` + + - `string` + + - `const ToolImageGenerationSize1024x1024 ToolImageGenerationSize = "1024x1024"` + + - `const ToolImageGenerationSize1024x1536 ToolImageGenerationSize = "1024x1536"` + + - `const ToolImageGenerationSize1536x1024 ToolImageGenerationSize = "1536x1024"` + + - `const ToolImageGenerationSizeAuto ToolImageGenerationSize = "auto"` + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `Type LocalShell` + + The type of the local shell tool. Always `local_shell`. + + - `const LocalShellLocalShell LocalShell = "local_shell"` + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `Type Shell` + + The type of the shell tool. Always `shell`. + + - `const ShellShell Shell = "shell"` + + - `Environment FunctionShellToolEnvironmentUnion` + + - `type ContainerAuto struct{…}` + + - `Type ContainerAuto` + + Automatically creates a container for this request + + - `const ContainerAutoContainerAuto ContainerAuto = "container_auto"` + + - `FileIDs []string` + + An optional list of uploaded files to make available to your code. + + - `MemoryLimit ContainerAutoMemoryLimit` + + The memory limit for the container. + + - `const ContainerAutoMemoryLimit1g ContainerAutoMemoryLimit = "1g"` + + - `const ContainerAutoMemoryLimit4g ContainerAutoMemoryLimit = "4g"` + + - `const ContainerAutoMemoryLimit16g ContainerAutoMemoryLimit = "16g"` + + - `const ContainerAutoMemoryLimit64g ContainerAutoMemoryLimit = "64g"` + + - `NetworkPolicy ContainerAutoNetworkPolicyUnion` + + Network access policy for the container. + + - `type ContainerNetworkPolicyDisabled struct{…}` + + - `type ContainerNetworkPolicyAllowlist struct{…}` + + - `Skills []ContainerAutoSkillUnion` + + An optional list of skills referenced by id or inline data. + + - `type SkillReference struct{…}` + + - `SkillID string` + + The ID of the referenced skill. + + - `Type SkillReference` + + References a skill created with the /v1/skills endpoint. + + - `const SkillReferenceSkillReference SkillReference = "skill_reference"` + + - `Version string` + + Optional skill version. Use a positive integer or 'latest'. Omit for default. + + - `type InlineSkill struct{…}` + + - `Description string` + + The description of the skill. + + - `Name string` + + The name of the skill. + + - `Source InlineSkillSource` + + Inline skill payload + + - `Data string` + + Base64-encoded skill zip bundle. + + - `MediaType ApplicationZip` + + The media type of the inline skill payload. Must be `application/zip`. + + - `const ApplicationZipApplicationZip ApplicationZip = "application/zip"` + + - `Type Base64` + + The type of the inline skill source. Must be `base64`. + + - `const Base64Base64 Base64 = "base64"` + + - `Type Inline` + + Defines an inline skill for this request. + + - `const InlineInline Inline = "inline"` + + - `type LocalEnvironment struct{…}` + + - `Type Local` + + Use a local computer environment. + + - `const LocalLocal Local = "local"` + + - `Skills []LocalSkill` + + An optional list of skills. + + - `Description string` + + The description of the skill. + + - `Name string` + + The name of the skill. + + - `Path string` + + The path to the directory containing the skill. + + - `type ContainerReference struct{…}` + + - `ContainerID string` + + The ID of the referenced container. + + - `Type ContainerReference` + + References a container created with the /v1/containers endpoint + + - `const ContainerReferenceContainerReference ContainerReference = "container_reference"` + + - `type CustomTool struct{…}` + + 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 string` + + The name of the custom tool, used to identify it in tool calls. + + - `Type Custom` + + The type of the custom tool. Always `custom`. + + - `const CustomCustom Custom = "custom"` + + - `DeferLoading bool` + + Whether this tool should be deferred and discovered via tool search. + + - `Description string` + + Optional description of the custom tool, used to provide more context. + + - `Format CustomToolInputFormatUnion` + + The input format for the custom tool. Default is unconstrained text. + + - `type CustomToolInputFormatText struct{…}` + + Unconstrained free-form text. + + - `Type Text` + + Unconstrained text format. Always `text`. + + - `const TextText Text = "text"` + + - `type CustomToolInputFormatGrammar struct{…}` + + A grammar defined by the user. + + - `Definition string` + + The grammar definition. + + - `Syntax string` + + The syntax of the grammar definition. One of `lark` or `regex`. + + - `const CustomToolInputFormatGrammarSyntaxLark CustomToolInputFormatGrammarSyntax = "lark"` + + - `const CustomToolInputFormatGrammarSyntaxRegex CustomToolInputFormatGrammarSyntax = "regex"` + + - `Type Grammar` + + Grammar format. Always `grammar`. + + - `const GrammarGrammar Grammar = "grammar"` + + - `type NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `Description string` + + A description of the namespace shown to the model. + + - `Name string` + + The namespace name used in tool calls (for example, `crm`). + + - `Tools []NamespaceToolToolUnion` + + The function/custom tools available inside this namespace. + + - `type NamespaceToolToolFunction struct{…}` + + - `Name string` + + - `Type Function` + + - `const FunctionFunction Function = "function"` + + - `DeferLoading bool` + + Whether this function should be deferred and discovered via tool search. + + - `Description string` + + - `Parameters any` + + - `Strict bool` + + - `type CustomTool struct{…}` + + 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 Namespace` + + The type of the tool. Always `namespace`. + + - `const NamespaceNamespace Namespace = "namespace"` + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `Type ToolSearch` + + The type of the tool. Always `tool_search`. + + - `const ToolSearchToolSearch ToolSearch = "tool_search"` + + - `Description string` + + Description shown to the model for a client-executed tool search tool. + + - `Execution ToolSearchToolExecution` + + Whether tool search is executed by the server or by the client. + + - `const ToolSearchToolExecutionServer ToolSearchToolExecution = "server"` + + - `const ToolSearchToolExecutionClient ToolSearchToolExecution = "client"` + + - `Parameters any` + + Parameter schema for a client-executed tool search tool. + + - `type WebSearchPreviewTool struct{…}` + + 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 WebSearchPreviewToolType` + + The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`. + + - `const WebSearchPreviewToolTypeWebSearchPreview WebSearchPreviewToolType = "web_search_preview"` + + - `const WebSearchPreviewToolTypeWebSearchPreview2025_03_11 WebSearchPreviewToolType = "web_search_preview_2025_03_11"` + + - `SearchContentTypes []string` + + - `const WebSearchPreviewToolSearchContentTypeText WebSearchPreviewToolSearchContentType = "text"` + + - `const WebSearchPreviewToolSearchContentTypeImage WebSearchPreviewToolSearchContentType = "image"` + + - `SearchContextSize WebSearchPreviewToolSearchContextSize` + + 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. + + - `const WebSearchPreviewToolSearchContextSizeLow WebSearchPreviewToolSearchContextSize = "low"` + + - `const WebSearchPreviewToolSearchContextSizeMedium WebSearchPreviewToolSearchContextSize = "medium"` + + - `const WebSearchPreviewToolSearchContextSizeHigh WebSearchPreviewToolSearchContextSize = "high"` + + - `UserLocation WebSearchPreviewToolUserLocation` + + The user's location. + + - `Type Approximate` + + The type of location approximation. Always `approximate`. + + - `const ApproximateApproximate Approximate = "approximate"` + + - `City string` + + Free text input for the city of the user, e.g. `San Francisco`. + + - `Country string` + + The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. + + - `Region string` + + Free text input for the region of the user, e.g. `California`. + + - `Timezone string` + + The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. + + - `type ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `Type ApplyPatch` + + The type of the tool. Always `apply_patch`. + + - `const ApplyPatchApplyPatch ApplyPatch = "apply_patch"` + + - `Type ToolSearchOutput` + + The item type. Always `tool_search_output`. + + - `const ToolSearchOutputToolSearchOutput ToolSearchOutput = "tool_search_output"` + + - `ID string` + + The unique ID of this tool search output. + + - `CallID string` + + The unique ID of the tool search call generated by the model. + + - `Execution ResponseToolSearchOutputItemParamExecution` + + Whether tool search was executed by the server or by the client. + + - `const ResponseToolSearchOutputItemParamExecutionServer ResponseToolSearchOutputItemParamExecution = "server"` + + - `const ResponseToolSearchOutputItemParamExecutionClient ResponseToolSearchOutputItemParamExecution = "client"` + + - `Status ResponseToolSearchOutputItemParamStatus` + + The status of the tool search output. + + - `const ResponseToolSearchOutputItemParamStatusInProgress ResponseToolSearchOutputItemParamStatus = "in_progress"` + + - `const ResponseToolSearchOutputItemParamStatusCompleted ResponseToolSearchOutputItemParamStatus = "completed"` + + - `const ResponseToolSearchOutputItemParamStatusIncomplete ResponseToolSearchOutputItemParamStatus = "incomplete"` + + - `type ResponseInputItemAdditionalTools struct{…}` + + - `Role Developer` + + The role that provided the additional tools. Only `developer` is supported. + + - `const DeveloperDeveloper Developer = "developer"` + + - `Tools []ToolUnion` + + A list of additional tools made available at this item. + + - `type FunctionTool struct{…}` + + 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). + + - `type FileSearchTool struct{…}` + + 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 ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type WebSearchTool struct{…}` + + 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 ToolMcp struct{…}` + + 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). + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `type CustomTool struct{…}` + + 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 NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `type WebSearchPreviewTool struct{…}` + + 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 ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `Type AdditionalTools` + + The item type. Always `additional_tools`. + + - `const AdditionalToolsAdditionalTools AdditionalTools = "additional_tools"` + + - `ID string` + + The unique ID of this additional tools item. + + - `type ResponseReasoningItem struct{…}` + + 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 string` + + The unique identifier of the reasoning content. + + - `Summary []ResponseReasoningItemSummary` + + Reasoning summary content. + + - `Text string` + + A summary of the reasoning output from the model so far. + + - `Type SummaryText` + + The type of the object. Always `summary_text`. + + - `const SummaryTextSummaryText SummaryText = "summary_text"` + + - `Type Reasoning` + + The type of the object. Always `reasoning`. + + - `const ReasoningReasoning Reasoning = "reasoning"` + + - `Content []ResponseReasoningItemContent` + + Reasoning text content. + + - `Text string` + + The reasoning text from the model. + + - `Type ReasoningText` + + The type of the reasoning text. Always `reasoning_text`. + + - `const ReasoningTextReasoningText ReasoningText = "reasoning_text"` + + - `EncryptedContent string` + + The encrypted content of the reasoning item - populated when a response is + generated with `reasoning.encrypted_content` in the `include` parameter. + + - `Status ResponseReasoningItemStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseReasoningItemStatusInProgress ResponseReasoningItemStatus = "in_progress"` + + - `const ResponseReasoningItemStatusCompleted ResponseReasoningItemStatus = "completed"` + + - `const ResponseReasoningItemStatusIncomplete ResponseReasoningItemStatus = "incomplete"` + + - `type ResponseCompactionItemParamResp struct{…}` + + A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). + + - `EncryptedContent string` + + The encrypted content of the compaction summary. + + - `Type Compaction` + + The type of the item. Always `compaction`. + + - `const CompactionCompaction Compaction = "compaction"` + + - `ID string` + + The ID of the compaction item. + + - `type ResponseInputItemImageGenerationCall struct{…}` + + An image generation request made by the model. + + - `ID string` + + The unique ID of the image generation call. + + - `Result string` + + The generated image encoded in base64. + + - `Status string` + + The status of the image generation call. + + - `const ResponseInputItemImageGenerationCallStatusInProgress ResponseInputItemImageGenerationCallStatus = "in_progress"` + + - `const ResponseInputItemImageGenerationCallStatusCompleted ResponseInputItemImageGenerationCallStatus = "completed"` + + - `const ResponseInputItemImageGenerationCallStatusGenerating ResponseInputItemImageGenerationCallStatus = "generating"` + + - `const ResponseInputItemImageGenerationCallStatusFailed ResponseInputItemImageGenerationCallStatus = "failed"` + + - `Type ImageGenerationCall` + + The type of the image generation call. Always `image_generation_call`. + + - `const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"` + + - `type ResponseCodeInterpreterToolCall struct{…}` + + A tool call to run code. + + - `ID string` + + The unique ID of the code interpreter tool call. + + - `Code string` + + The code to run, or null if not available. + + - `ContainerID string` + + The ID of the container used to run the code. + + - `Outputs []ResponseCodeInterpreterToolCallOutputUnion` + + The outputs generated by the code interpreter, such as logs or images. + Can be null if no outputs are available. + + - `type ResponseCodeInterpreterToolCallOutputLogs struct{…}` + + The logs output from the code interpreter. + + - `Logs string` + + The logs output from the code interpreter. + + - `Type Logs` + + The type of the output. Always `logs`. + + - `const LogsLogs Logs = "logs"` + + - `type ResponseCodeInterpreterToolCallOutputImage struct{…}` + + The image output from the code interpreter. + + - `Type Image` + + The type of the output. Always `image`. + + - `const ImageImage Image = "image"` + + - `URL string` + + The URL of the image output from the code interpreter. + + - `Status ResponseCodeInterpreterToolCallStatus` + + The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`. + + - `const ResponseCodeInterpreterToolCallStatusInProgress ResponseCodeInterpreterToolCallStatus = "in_progress"` + + - `const ResponseCodeInterpreterToolCallStatusCompleted ResponseCodeInterpreterToolCallStatus = "completed"` + + - `const ResponseCodeInterpreterToolCallStatusIncomplete ResponseCodeInterpreterToolCallStatus = "incomplete"` + + - `const ResponseCodeInterpreterToolCallStatusInterpreting ResponseCodeInterpreterToolCallStatus = "interpreting"` + + - `const ResponseCodeInterpreterToolCallStatusFailed ResponseCodeInterpreterToolCallStatus = "failed"` + + - `Type CodeInterpreterCall` + + The type of the code interpreter tool call. Always `code_interpreter_call`. + + - `const CodeInterpreterCallCodeInterpreterCall CodeInterpreterCall = "code_interpreter_call"` + + - `type ResponseInputItemLocalShellCall struct{…}` + + A tool call to run a command on the local shell. + + - `ID string` + + The unique ID of the local shell call. + + - `Action ResponseInputItemLocalShellCallAction` + + Execute a shell command on the server. + + - `Command []string` + + The command to run. + + - `Env map[string, string]` + + Environment variables to set for the command. + + - `Type Exec` + + The type of the local shell action. Always `exec`. + + - `const ExecExec Exec = "exec"` + + - `TimeoutMs int64` + + Optional timeout in milliseconds for the command. + + - `User string` + + Optional user to run the command as. + + - `WorkingDirectory string` + + Optional working directory to run the command in. + + - `CallID string` + + The unique ID of the local shell tool call generated by the model. + + - `Status string` + + The status of the local shell call. + + - `const ResponseInputItemLocalShellCallStatusInProgress ResponseInputItemLocalShellCallStatus = "in_progress"` + + - `const ResponseInputItemLocalShellCallStatusCompleted ResponseInputItemLocalShellCallStatus = "completed"` + + - `const ResponseInputItemLocalShellCallStatusIncomplete ResponseInputItemLocalShellCallStatus = "incomplete"` + + - `Type LocalShellCall` + + The type of the local shell call. Always `local_shell_call`. + + - `const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"` + + - `type ResponseInputItemLocalShellCallOutput struct{…}` + + The output of a local shell tool call. + + - `ID string` + + The unique ID of the local shell tool call generated by the model. + + - `Output string` + + A JSON string of the output of the local shell tool call. + + - `Type LocalShellCallOutput` + + The type of the local shell tool call output. Always `local_shell_call_output`. + + - `const LocalShellCallOutputLocalShellCallOutput LocalShellCallOutput = "local_shell_call_output"` + + - `Status string` + + The status of the item. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseInputItemLocalShellCallOutputStatusInProgress ResponseInputItemLocalShellCallOutputStatus = "in_progress"` + + - `const ResponseInputItemLocalShellCallOutputStatusCompleted ResponseInputItemLocalShellCallOutputStatus = "completed"` + + - `const ResponseInputItemLocalShellCallOutputStatusIncomplete ResponseInputItemLocalShellCallOutputStatus = "incomplete"` + + - `type ResponseInputItemShellCall struct{…}` + + A tool representing a request to execute one or more shell commands. + + - `Action ResponseInputItemShellCallAction` + + The shell commands and limits that describe how to run the tool call. + + - `Commands []string` + + Ordered shell commands for the execution environment to run. + + - `MaxOutputLength int64` + + Maximum number of UTF-8 characters to capture from combined stdout and stderr output. + + - `TimeoutMs int64` + + Maximum wall-clock time in milliseconds to allow the shell commands to run. + + - `CallID string` + + The unique ID of the shell tool call generated by the model. + + - `Type ShellCall` + + The type of the item. Always `shell_call`. + + - `const ShellCallShellCall ShellCall = "shell_call"` + + - `ID string` + + The unique ID of the shell tool call. Populated when this item is returned via API. + + - `Environment ResponseInputItemShellCallEnvironmentUnion` + + The environment to execute the shell commands in. + + - `type LocalEnvironment struct{…}` + + - `type ContainerReference struct{…}` + + - `Status string` + + The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseInputItemShellCallStatusInProgress ResponseInputItemShellCallStatus = "in_progress"` + + - `const ResponseInputItemShellCallStatusCompleted ResponseInputItemShellCallStatus = "completed"` + + - `const ResponseInputItemShellCallStatusIncomplete ResponseInputItemShellCallStatus = "incomplete"` + + - `type ResponseInputItemShellCallOutput struct{…}` + + The streamed output items emitted by a shell tool call. + + - `CallID string` + + The unique ID of the shell tool call generated by the model. + + - `Output []ResponseFunctionShellCallOutputContent` + + Captured chunks of stdout and stderr output, along with their associated outcomes. + + - `Outcome ResponseFunctionShellCallOutputContentOutcomeUnion` + + The exit or timeout outcome associated with this shell call. + + - `type ResponseFunctionShellCallOutputContentOutcomeTimeout struct{…}` + + Indicates that the shell call exceeded its configured time limit. + + - `Type Timeout` + + The outcome type. Always `timeout`. + + - `const TimeoutTimeout Timeout = "timeout"` + + - `type ResponseFunctionShellCallOutputContentOutcomeExit struct{…}` + + Indicates that the shell commands finished and returned an exit code. + + - `ExitCode int64` + + The exit code returned by the shell process. + + - `Type Exit` + + The outcome type. Always `exit`. + + - `const ExitExit Exit = "exit"` + + - `Stderr string` + + Captured stderr output for the shell call. + + - `Stdout string` + + Captured stdout output for the shell call. + + - `Type ShellCallOutput` + + The type of the item. Always `shell_call_output`. + + - `const ShellCallOutputShellCallOutput ShellCallOutput = "shell_call_output"` + + - `ID string` + + The unique ID of the shell tool call output. Populated when this item is returned via API. + + - `MaxOutputLength int64` + + The maximum number of UTF-8 characters captured for this shell call's combined output. + + - `Status string` + + The status of the shell call output. + + - `const ResponseInputItemShellCallOutputStatusInProgress ResponseInputItemShellCallOutputStatus = "in_progress"` + + - `const ResponseInputItemShellCallOutputStatusCompleted ResponseInputItemShellCallOutputStatus = "completed"` + + - `const ResponseInputItemShellCallOutputStatusIncomplete ResponseInputItemShellCallOutputStatus = "incomplete"` + + - `type ResponseInputItemApplyPatchCall struct{…}` + + A tool call representing a request to create, delete, or update files using diff patches. + + - `CallID string` + + The unique ID of the apply patch tool call generated by the model. + + - `Operation ResponseInputItemApplyPatchCallOperationUnion` + + The specific create, delete, or update instruction for the apply_patch tool call. + + - `type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}` + + Instruction for creating a new file via the apply_patch tool. + + - `Diff string` + + Unified diff content to apply when creating the file. + + - `Path string` + + Path of the file to create relative to the workspace root. + + - `Type CreateFile` + + The operation type. Always `create_file`. + + - `const CreateFileCreateFile CreateFile = "create_file"` + + - `type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}` + + Instruction for deleting an existing file via the apply_patch tool. + + - `Path string` + + Path of the file to delete relative to the workspace root. + + - `Type DeleteFile` + + The operation type. Always `delete_file`. + + - `const DeleteFileDeleteFile DeleteFile = "delete_file"` + + - `type ResponseInputItemApplyPatchCallOperationUpdateFile struct{…}` + + Instruction for updating an existing file via the apply_patch tool. + + - `Diff string` + + Unified diff content to apply to the existing file. + + - `Path string` + + Path of the file to update relative to the workspace root. + + - `Type UpdateFile` + + The operation type. Always `update_file`. + + - `const UpdateFileUpdateFile UpdateFile = "update_file"` + + - `Status string` + + The status of the apply patch tool call. One of `in_progress` or `completed`. + + - `const ResponseInputItemApplyPatchCallStatusInProgress ResponseInputItemApplyPatchCallStatus = "in_progress"` + + - `const ResponseInputItemApplyPatchCallStatusCompleted ResponseInputItemApplyPatchCallStatus = "completed"` + + - `Type ApplyPatchCall` + + The type of the item. Always `apply_patch_call`. + + - `const ApplyPatchCallApplyPatchCall ApplyPatchCall = "apply_patch_call"` + + - `ID string` + + The unique ID of the apply patch tool call. Populated when this item is returned via API. + + - `type ResponseInputItemApplyPatchCallOutput struct{…}` + + The streamed output emitted by an apply patch tool call. + + - `CallID string` + + The unique ID of the apply patch tool call generated by the model. + + - `Status string` + + The status of the apply patch tool call output. One of `completed` or `failed`. + + - `const ResponseInputItemApplyPatchCallOutputStatusCompleted ResponseInputItemApplyPatchCallOutputStatus = "completed"` + + - `const ResponseInputItemApplyPatchCallOutputStatusFailed ResponseInputItemApplyPatchCallOutputStatus = "failed"` + + - `Type ApplyPatchCallOutput` + + The type of the item. Always `apply_patch_call_output`. + + - `const ApplyPatchCallOutputApplyPatchCallOutput ApplyPatchCallOutput = "apply_patch_call_output"` + + - `ID string` + + The unique ID of the apply patch tool call output. Populated when this item is returned via API. + + - `Output string` + + Optional human-readable log text from the apply patch tool (e.g., patch results or errors). + + - `type ResponseInputItemMcpListTools struct{…}` + + A list of tools available on an MCP server. + + - `ID string` + + The unique ID of the list. + + - `ServerLabel string` + + The label of the MCP server. + + - `Tools []ResponseInputItemMcpListToolsTool` + + The tools available on the server. + + - `InputSchema any` + + The JSON schema describing the tool's input. + + - `Name string` + + The name of the tool. + + - `Annotations any` + + Additional annotations about the tool. + + - `Description string` + + The description of the tool. + + - `Type McpListTools` + + The type of the item. Always `mcp_list_tools`. + + - `const McpListToolsMcpListTools McpListTools = "mcp_list_tools"` + + - `Error string` + + Error message if the server could not list tools. + + - `type ResponseInputItemMcpApprovalRequest struct{…}` + + A request for human approval of a tool invocation. + + - `ID string` + + The unique ID of the approval request. + + - `Arguments string` + + A JSON string of arguments for the tool. + + - `Name string` + + The name of the tool to run. + + - `ServerLabel string` + + The label of the MCP server making the request. + + - `Type McpApprovalRequest` + + The type of the item. Always `mcp_approval_request`. + + - `const McpApprovalRequestMcpApprovalRequest McpApprovalRequest = "mcp_approval_request"` + + - `type ResponseInputItemMcpApprovalResponse struct{…}` + + A response to an MCP approval request. + + - `ApprovalRequestID string` + + The ID of the approval request being answered. + + - `Approve bool` + + Whether the request was approved. + + - `Type McpApprovalResponse` + + The type of the item. Always `mcp_approval_response`. + + - `const McpApprovalResponseMcpApprovalResponse McpApprovalResponse = "mcp_approval_response"` + + - `ID string` + + The unique ID of the approval response + + - `Reason string` + + Optional reason for the decision. + + - `type ResponseInputItemMcpCall struct{…}` + + An invocation of a tool on an MCP server. + + - `ID string` + + The unique ID of the tool call. + + - `Arguments string` + + A JSON string of the arguments passed to the tool. + + - `Name string` + + The name of the tool that was run. + + - `ServerLabel string` + + The label of the MCP server running the tool. + + - `Type McpCall` + + The type of the item. Always `mcp_call`. + + - `const McpCallMcpCall McpCall = "mcp_call"` + + - `ApprovalRequestID string` + + 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 string` + + The error from the tool call, if any. + + - `Output string` + + The output from the tool call. + + - `Status string` + + The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. + + - `const ResponseInputItemMcpCallStatusInProgress ResponseInputItemMcpCallStatus = "in_progress"` + + - `const ResponseInputItemMcpCallStatusCompleted ResponseInputItemMcpCallStatus = "completed"` + + - `const ResponseInputItemMcpCallStatusIncomplete ResponseInputItemMcpCallStatus = "incomplete"` + + - `const ResponseInputItemMcpCallStatusCalling ResponseInputItemMcpCallStatus = "calling"` + + - `const ResponseInputItemMcpCallStatusFailed ResponseInputItemMcpCallStatus = "failed"` + + - `type ResponseCustomToolCallOutput struct{…}` + + The output of a custom tool call from your code, being sent back to the model. + + - `CallID string` + + The call ID, used to map this custom tool call output to a custom tool call. + + - `Output ResponseCustomToolCallOutputOutputUnion` + + The output from the custom tool call generated by your code. + Can be a string or an list of output content. + + - `string` + + - `type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnion` + + Text, image, or file output of the custom tool call. + + - `type ResponseInputText struct{…}` + + A text input to the model. + + - `type ResponseInputImage struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `type ResponseInputFile struct{…}` + + A file input to the model. + + - `Type CustomToolCallOutput` + + The type of the custom tool call output. Always `custom_tool_call_output`. + + - `const CustomToolCallOutputCustomToolCallOutput CustomToolCallOutput = "custom_tool_call_output"` + + - `ID string` + + The unique ID of the custom tool call output in the OpenAI platform. + + - `type ResponseCustomToolCall struct{…}` + + A call to a custom tool created by the model. + + - `CallID string` + + An identifier used to map this custom tool call to a tool call output. + + - `Input string` + + The input for the custom tool call generated by the model. + + - `Name string` + + The name of the custom tool being called. + + - `Type CustomToolCall` + + The type of the custom tool call. Always `custom_tool_call`. + + - `const CustomToolCallCustomToolCall CustomToolCall = "custom_tool_call"` + + - `ID string` + + The unique ID of the custom tool call in the OpenAI platform. + + - `Namespace string` + + The namespace of the custom tool being called. + + - `type ResponseInputItemCompactionTrigger struct{…}` + + Compacts the current context. Must be the final input item. + + - `Type CompactionTrigger` + + The type of the item. Always `compaction_trigger`. + + - `const CompactionTriggerCompactionTrigger CompactionTrigger = "compaction_trigger"` + + - `type ResponseInputItemItemReference struct{…}` + + An internal identifier for an item to reference. + + - `ID string` + + The ID of the item to reference. + + - `Type string` + + The type of item to reference. Always `item_reference`. + + - `const ResponseInputItemItemReferenceTypeItemReference ResponseInputItemItemReferenceType = "item_reference"` + + - `Instructions param.Field[string]` + + 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. + + - `MaxOutputTokens param.Field[int64]` + + 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). + + - `MaxToolCalls param.Field[int64]` + + 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 param.Field[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 param.Field[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. + + - `Moderation param.Field[ResponseNewParamsModeration]` + + Configuration for running moderation on the input and output of this response. + + - `Model string` + + The moderation model to use for moderated completions, e.g. 'omni-moderation-latest'. + + - `ParallelToolCalls param.Field[bool]` + + Whether to allow the model to run tool calls in parallel. + + - `PreviousResponseID param.Field[string]` + + 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 param.Field[ResponsePrompt]` + + Reference to a prompt template and its variables. + [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). + + - `PromptCacheKey param.Field[string]` + + 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). + + - `PromptCacheRetention param.Field[ResponseNewParamsPromptCacheRetention]` + + 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). + For `gpt-5.5`, `gpt-5.5-pro`, and future models, only `24h` is supported. + + For older models that support both `in_memory` and `24h`, the default depends on your organization's data retention policy: + + - Organizations without ZDR enabled default to `24h`. + - Organizations with ZDR enabled default to `in_memory` when `prompt_cache_retention` is not specified. + + - `const ResponseNewParamsPromptCacheRetentionInMemory ResponseNewParamsPromptCacheRetention = "in_memory"` + + - `const ResponseNewParamsPromptCacheRetention24h ResponseNewParamsPromptCacheRetention = "24h"` + + - `Reasoning param.Field[Reasoning]` + + **gpt-5 and o-series models only** + + Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + + - `SafetyIdentifier param.Field[string]` + + 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). + + - `ServiceTier param.Field[ResponseNewParamsServiceTier]` + + 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. + + - `const ResponseNewParamsServiceTierAuto ResponseNewParamsServiceTier = "auto"` + + - `const ResponseNewParamsServiceTierDefault ResponseNewParamsServiceTier = "default"` + + - `const ResponseNewParamsServiceTierFlex ResponseNewParamsServiceTier = "flex"` + + - `const ResponseNewParamsServiceTierScale ResponseNewParamsServiceTier = "scale"` + + - `const ResponseNewParamsServiceTierPriority ResponseNewParamsServiceTier = "priority"` + + - `Store param.Field[bool]` + + Whether to store the generated model response for later retrieval via + API. + + - `` + + - `StreamOptions param.Field[ResponseNewParamsStreamOptions]` + + Options for streaming responses. Only set this when you set `stream: true`. + + - `IncludeObfuscation 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 param.Field[float64]` + + 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 param.Field[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) + + - `ToolChoice param.Field[ResponseNewParamsToolChoiceUnion]` + + 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. + + - `type ToolChoiceOptions string` + + Controls which (if any) tool is called by the model. + + `none` means the model will not call any tool and instead generates a message. + + `auto` means the model can pick between generating a message or calling one or + more tools. + + `required` means the model must call one or more tools. + + - `const ToolChoiceOptionsNone ToolChoiceOptions = "none"` + + - `const ToolChoiceOptionsAuto ToolChoiceOptions = "auto"` + + - `const ToolChoiceOptionsRequired ToolChoiceOptions = "required"` + + - `type ToolChoiceAllowed struct{…}` + + Constrains the tools available to the model to a pre-defined set. + + - `Mode ToolChoiceAllowedMode` + + 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. + + - `const ToolChoiceAllowedModeAuto ToolChoiceAllowedMode = "auto"` + + - `const ToolChoiceAllowedModeRequired ToolChoiceAllowedMode = "required"` + + - `Tools []map[string, any]` + + 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 AllowedTools` + + Allowed tool configuration type. Always `allowed_tools`. + + - `const AllowedToolsAllowedTools AllowedTools = "allowed_tools"` + + - `type ToolChoiceTypes struct{…}` + + 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 ToolChoiceTypesType` + + 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` + + - `const ToolChoiceTypesTypeFileSearch ToolChoiceTypesType = "file_search"` + + - `const ToolChoiceTypesTypeWebSearchPreview ToolChoiceTypesType = "web_search_preview"` + + - `const ToolChoiceTypesTypeComputer ToolChoiceTypesType = "computer"` + + - `const ToolChoiceTypesTypeComputerUsePreview ToolChoiceTypesType = "computer_use_preview"` + + - `const ToolChoiceTypesTypeComputerUse ToolChoiceTypesType = "computer_use"` + + - `const ToolChoiceTypesTypeWebSearchPreview2025_03_11 ToolChoiceTypesType = "web_search_preview_2025_03_11"` + + - `const ToolChoiceTypesTypeImageGeneration ToolChoiceTypesType = "image_generation"` + + - `const ToolChoiceTypesTypeCodeInterpreter ToolChoiceTypesType = "code_interpreter"` + + - `type ToolChoiceFunction struct{…}` + + Use this option to force the model to call a specific function. + + - `Name string` + + The name of the function to call. + + - `Type Function` + + For function calling, the type is always `function`. + + - `const FunctionFunction Function = "function"` + + - `type ToolChoiceMcp struct{…}` + + Use this option to force the model to call a specific tool on a remote MCP server. + + - `ServerLabel string` + + The label of the MCP server to use. + + - `Type Mcp` + + For MCP tools, the type is always `mcp`. + + - `const McpMcp Mcp = "mcp"` + + - `Name string` + + The name of the tool to call on the server. + + - `type ToolChoiceCustom struct{…}` + + Use this option to force the model to call a specific custom tool. + + - `Name string` + + The name of the custom tool to call. + + - `Type Custom` + + For custom tool calling, the type is always `custom`. + + - `const CustomCustom Custom = "custom"` + + - `type ToolChoiceApplyPatch struct{…}` + + Forces the model to call the apply_patch tool when executing a tool call. + + - `Type ApplyPatch` + + The tool to call. Always `apply_patch`. + + - `const ApplyPatchApplyPatch ApplyPatch = "apply_patch"` + + - `type ToolChoiceShell struct{…}` + + Forces the model to call the shell tool when a tool call is required. + + - `Type Shell` + + The tool to call. Always `shell`. + + - `const ShellShell Shell = "shell"` + + - `Tools param.Field[[]ToolUnion]` + + 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. + + - `type FunctionTool struct{…}` + + 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). + + - `type FileSearchTool struct{…}` + + 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 ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type WebSearchTool struct{…}` + + 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 ToolMcp struct{…}` + + 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). + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `type CustomTool struct{…}` + + 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 NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `type WebSearchPreviewTool struct{…}` + + 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 ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `TopLogprobs param.Field[int64]` + + 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. + + - `TopP param.Field[float64]` + + 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 param.Field[ResponseNewParamsTruncation]` + + 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. + + - `const ResponseNewParamsTruncationAuto ResponseNewParamsTruncation = "auto"` + + - `const ResponseNewParamsTruncationDisabled ResponseNewParamsTruncation = "disabled"` + + - `User param.Field[string]` + + 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 + +- `type Response struct{…}` + + - `ID string` + + Unique identifier for this Response. + + - `CreatedAt float64` + + Unix timestamp (in seconds) of when this Response was created. + + - `Error ResponseError` + + An error object returned when the model fails to generate a Response. + + - `Code ResponseErrorCode` + + The error code for the response. + + - `const ResponseErrorCodeServerError ResponseErrorCode = "server_error"` + + - `const ResponseErrorCodeRateLimitExceeded ResponseErrorCode = "rate_limit_exceeded"` + + - `const ResponseErrorCodeInvalidPrompt ResponseErrorCode = "invalid_prompt"` + + - `const ResponseErrorCodeVectorStoreTimeout ResponseErrorCode = "vector_store_timeout"` + + - `const ResponseErrorCodeInvalidImage ResponseErrorCode = "invalid_image"` + + - `const ResponseErrorCodeInvalidImageFormat ResponseErrorCode = "invalid_image_format"` + + - `const ResponseErrorCodeInvalidBase64Image ResponseErrorCode = "invalid_base64_image"` + + - `const ResponseErrorCodeInvalidImageURL ResponseErrorCode = "invalid_image_url"` + + - `const ResponseErrorCodeImageTooLarge ResponseErrorCode = "image_too_large"` + + - `const ResponseErrorCodeImageTooSmall ResponseErrorCode = "image_too_small"` + + - `const ResponseErrorCodeImageParseError ResponseErrorCode = "image_parse_error"` + + - `const ResponseErrorCodeImageContentPolicyViolation ResponseErrorCode = "image_content_policy_violation"` + + - `const ResponseErrorCodeInvalidImageMode ResponseErrorCode = "invalid_image_mode"` + + - `const ResponseErrorCodeImageFileTooLarge ResponseErrorCode = "image_file_too_large"` + + - `const ResponseErrorCodeUnsupportedImageMediaType ResponseErrorCode = "unsupported_image_media_type"` + + - `const ResponseErrorCodeEmptyImageFile ResponseErrorCode = "empty_image_file"` + + - `const ResponseErrorCodeFailedToDownloadImage ResponseErrorCode = "failed_to_download_image"` + + - `const ResponseErrorCodeImageFileNotFound ResponseErrorCode = "image_file_not_found"` + + - `Message string` + + A human-readable description of the error. + + - `IncompleteDetails ResponseIncompleteDetails` + + Details about why the response is incomplete. + + - `Reason string` + + The reason why the response is incomplete. + + - `const ResponseIncompleteDetailsReasonMaxOutputTokens ResponseIncompleteDetailsReason = "max_output_tokens"` + + - `const ResponseIncompleteDetailsReasonContentFilter ResponseIncompleteDetailsReason = "content_filter"` + + - `Instructions ResponseInstructionsUnion` + + 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. + + - `string` + + - `type ResponseInstructionsInputItemList []ResponseInputItemUnion` + + A list of one or many input items to the model, containing + different content types. + + - `type EasyInputMessage struct{…}` + + 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 EasyInputMessageContentUnion` + + Text, image, or audio input to the model, used to generate a response. + Can also contain previous assistant responses. + + - `string` + + - `type ResponseInputMessageContentList []ResponseInputContentUnion` + + A list of one or many input items to the model, containing different content + types. + + - `type ResponseInputText struct{…}` + + A text input to the model. + + - `Text string` + + The text input to the model. + + - `Type InputText` + + The type of the input item. Always `input_text`. + + - `const InputTextInputText InputText = "input_text"` + + - `type ResponseInputImage struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `Detail ResponseInputImageDetail` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `const ResponseInputImageDetailLow ResponseInputImageDetail = "low"` + + - `const ResponseInputImageDetailHigh ResponseInputImageDetail = "high"` + + - `const ResponseInputImageDetailAuto ResponseInputImageDetail = "auto"` + + - `const ResponseInputImageDetailOriginal ResponseInputImageDetail = "original"` + + - `Type InputImage` + + The type of the input item. Always `input_image`. + + - `const InputImageInputImage InputImage = "input_image"` + + - `FileID string` + + The ID of the file to be sent to the model. + + - `ImageURL string` + + The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. + + - `type ResponseInputFile struct{…}` + + A file input to the model. + + - `Type InputFile` + + The type of the input item. Always `input_file`. + + - `const InputFileInputFile InputFile = "input_file"` + + - `Detail ResponseInputFileDetail` + + 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`. + + - `const ResponseInputFileDetailLow ResponseInputFileDetail = "low"` + + - `const ResponseInputFileDetailHigh ResponseInputFileDetail = "high"` + + - `FileData string` + + The content of the file to be sent to the model. + + - `FileID string` + + The ID of the file to be sent to the model. + + - `FileURL string` + + The URL of the file to be sent to the model. + + - `Filename string` + + The name of the file to be sent to the model. + + - `Role EasyInputMessageRole` + + The role of the message input. One of `user`, `assistant`, `system`, or + `developer`. + + - `const EasyInputMessageRoleUser EasyInputMessageRole = "user"` + + - `const EasyInputMessageRoleAssistant EasyInputMessageRole = "assistant"` + + - `const EasyInputMessageRoleSystem EasyInputMessageRole = "system"` + + - `const EasyInputMessageRoleDeveloper EasyInputMessageRole = "developer"` + + - `Phase EasyInputMessagePhase` + + 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. + + - `const EasyInputMessagePhaseCommentary EasyInputMessagePhase = "commentary"` + + - `const EasyInputMessagePhaseFinalAnswer EasyInputMessagePhase = "final_answer"` + + - `Type EasyInputMessageType` + + The type of the message input. Always `message`. + + - `const EasyInputMessageTypeMessage EasyInputMessageType = "message"` + + - `type ResponseInputItemMessage struct{…}` + + 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. + + - `Role string` + + The role of the message input. One of `user`, `system`, or `developer`. + + - `const ResponseInputItemMessageRoleUser ResponseInputItemMessageRole = "user"` + + - `const ResponseInputItemMessageRoleSystem ResponseInputItemMessageRole = "system"` + + - `const ResponseInputItemMessageRoleDeveloper ResponseInputItemMessageRole = "developer"` + + - `Status string` + + The status of item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseInputItemMessageStatusInProgress ResponseInputItemMessageStatus = "in_progress"` + + - `const ResponseInputItemMessageStatusCompleted ResponseInputItemMessageStatus = "completed"` + + - `const ResponseInputItemMessageStatusIncomplete ResponseInputItemMessageStatus = "incomplete"` + + - `Type string` + + The type of the message input. Always set to `message`. + + - `const ResponseInputItemMessageTypeMessage ResponseInputItemMessageType = "message"` + + - `type ResponseOutputMessage struct{…}` + + An output message from the model. + + - `ID string` + + The unique ID of the output message. + + - `Content []ResponseOutputMessageContentUnion` + + The content of the output message. + + - `type ResponseOutputText struct{…}` + + A text output from the model. + + - `Annotations []ResponseOutputTextAnnotationUnion` + + The annotations of the text output. + + - `type ResponseOutputTextAnnotationFileCitation struct{…}` + + A citation to a file. + + - `FileID string` + + The ID of the file. + + - `Filename string` + + The filename of the file cited. + + - `Index int64` + + The index of the file in the list of files. + + - `Type FileCitation` + + The type of the file citation. Always `file_citation`. + + - `const FileCitationFileCitation FileCitation = "file_citation"` + + - `type ResponseOutputTextAnnotationURLCitation struct{…}` + + A citation for a web resource used to generate a model response. + + - `EndIndex int64` + + The index of the last character of the URL citation in the message. + + - `StartIndex int64` + + The index of the first character of the URL citation in the message. + + - `Title string` + + The title of the web resource. + + - `Type URLCitation` + + The type of the URL citation. Always `url_citation`. + + - `const URLCitationURLCitation URLCitation = "url_citation"` + + - `URL string` + + The URL of the web resource. + + - `type ResponseOutputTextAnnotationContainerFileCitation struct{…}` + + A citation for a container file used to generate a model response. + + - `ContainerID string` + + The ID of the container file. + + - `EndIndex int64` + + The index of the last character of the container file citation in the message. + + - `FileID string` + + The ID of the file. + + - `Filename string` + + The filename of the container file cited. + + - `StartIndex int64` + + The index of the first character of the container file citation in the message. + + - `Type ContainerFileCitation` + + The type of the container file citation. Always `container_file_citation`. + + - `const ContainerFileCitationContainerFileCitation ContainerFileCitation = "container_file_citation"` + + - `type ResponseOutputTextAnnotationFilePath struct{…}` + + A path to a file. + + - `FileID string` + + The ID of the file. + + - `Index int64` + + The index of the file in the list of files. + + - `Type FilePath` + + The type of the file path. Always `file_path`. + + - `const FilePathFilePath FilePath = "file_path"` + + - `Text string` + + The text output from the model. + + - `Type OutputText` + + The type of the output text. Always `output_text`. + + - `const OutputTextOutputText OutputText = "output_text"` + + - `Logprobs []ResponseOutputTextLogprob` + + - `Token string` + + - `Bytes []int64` + + - `Logprob float64` + + - `TopLogprobs []ResponseOutputTextLogprobTopLogprob` + + - `Token string` + + - `Bytes []int64` + + - `Logprob float64` + + - `type ResponseOutputRefusal struct{…}` + + A refusal from the model. + + - `Refusal string` + + The refusal explanation from the model. + + - `Type Refusal` + + The type of the refusal. Always `refusal`. + + - `const RefusalRefusal Refusal = "refusal"` + + - `Role Assistant` + + The role of the output message. Always `assistant`. + + - `const AssistantAssistant Assistant = "assistant"` + + - `Status ResponseOutputMessageStatus` + + The status of the message input. One of `in_progress`, `completed`, or + `incomplete`. Populated when input items are returned via API. + + - `const ResponseOutputMessageStatusInProgress ResponseOutputMessageStatus = "in_progress"` + + - `const ResponseOutputMessageStatusCompleted ResponseOutputMessageStatus = "completed"` + + - `const ResponseOutputMessageStatusIncomplete ResponseOutputMessageStatus = "incomplete"` + + - `Type Message` + + The type of the output message. Always `message`. + + - `const MessageMessage Message = "message"` + + - `Phase ResponseOutputMessagePhase` + + 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. + + - `const ResponseOutputMessagePhaseCommentary ResponseOutputMessagePhase = "commentary"` + + - `const ResponseOutputMessagePhaseFinalAnswer ResponseOutputMessagePhase = "final_answer"` + + - `type ResponseFileSearchToolCall struct{…}` + + 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 string` + + The unique ID of the file search tool call. + + - `Queries []string` + + The queries used to search for files. + + - `Status ResponseFileSearchToolCallStatus` + + The status of the file search tool call. One of `in_progress`, + `searching`, `incomplete` or `failed`, + + - `const ResponseFileSearchToolCallStatusInProgress ResponseFileSearchToolCallStatus = "in_progress"` + + - `const ResponseFileSearchToolCallStatusSearching ResponseFileSearchToolCallStatus = "searching"` + + - `const ResponseFileSearchToolCallStatusCompleted ResponseFileSearchToolCallStatus = "completed"` + + - `const ResponseFileSearchToolCallStatusIncomplete ResponseFileSearchToolCallStatus = "incomplete"` + + - `const ResponseFileSearchToolCallStatusFailed ResponseFileSearchToolCallStatus = "failed"` + + - `Type FileSearchCall` + + The type of the file search tool call. Always `file_search_call`. + + - `const FileSearchCallFileSearchCall FileSearchCall = "file_search_call"` + + - `Results []ResponseFileSearchToolCallResult` + + The results of the file search tool call. + + - `Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]` + + 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. + + - `string` + + - `float64` + + - `bool` + + - `FileID string` + + The unique ID of the file. + + - `Filename string` + + The name of the file. + + - `Score float64` + + The relevance score of the file - a value between 0 and 1. + + - `Text string` + + The text that was retrieved from the file. + + - `type ResponseComputerToolCall struct{…}` + + 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 string` + + The unique ID of the computer call. + + - `CallID string` + + An identifier used when responding to the tool call with output. + + - `PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheck` + + The pending safety checks for the computer call. + + - `ID string` + + The ID of the pending safety check. + + - `Code string` + + The type of the pending safety check. + + - `Message string` + + Details about the pending safety check. + + - `Status ResponseComputerToolCallStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseComputerToolCallStatusInProgress ResponseComputerToolCallStatus = "in_progress"` + + - `const ResponseComputerToolCallStatusCompleted ResponseComputerToolCallStatus = "completed"` + + - `const ResponseComputerToolCallStatusIncomplete ResponseComputerToolCallStatus = "incomplete"` + + - `Type ResponseComputerToolCallType` + + The type of the computer call. Always `computer_call`. + + - `const ResponseComputerToolCallTypeComputerCall ResponseComputerToolCallType = "computer_call"` + + - `Action ResponseComputerToolCallActionUnion` + + A click action. + + - `type ResponseComputerToolCallActionClick struct{…}` + + A click action. + + - `Button string` + + Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. + + - `const ResponseComputerToolCallActionClickButtonLeft ResponseComputerToolCallActionClickButton = "left"` + + - `const ResponseComputerToolCallActionClickButtonRight ResponseComputerToolCallActionClickButton = "right"` + + - `const ResponseComputerToolCallActionClickButtonWheel ResponseComputerToolCallActionClickButton = "wheel"` + + - `const ResponseComputerToolCallActionClickButtonBack ResponseComputerToolCallActionClickButton = "back"` + + - `const ResponseComputerToolCallActionClickButtonForward ResponseComputerToolCallActionClickButton = "forward"` + + - `Type Click` + + Specifies the event type. For a click action, this property is always `click`. + + - `const ClickClick Click = "click"` + + - `X int64` + + The x-coordinate where the click occurred. + + - `Y int64` + + The y-coordinate where the click occurred. + + - `Keys []string` + + The keys being held while clicking. + + - `type ResponseComputerToolCallActionDoubleClick struct{…}` + + A double click action. + + - `Keys []string` + + The keys being held while double-clicking. + + - `Type DoubleClick` + + Specifies the event type. For a double click action, this property is always set to `double_click`. + + - `const DoubleClickDoubleClick DoubleClick = "double_click"` + + - `X int64` + + The x-coordinate where the double click occurred. + + - `Y int64` + + The y-coordinate where the double click occurred. + + - `type ResponseComputerToolCallActionDrag struct{…}` + + A drag action. + + - `Path []ResponseComputerToolCallActionDragPath` + + 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 int64` + + The x-coordinate. + + - `Y int64` + + The y-coordinate. + + - `Type Drag` + + Specifies the event type. For a drag action, this property is always set to `drag`. + + - `const DragDrag Drag = "drag"` + + - `Keys []string` + + The keys being held while dragging the mouse. + + - `type ResponseComputerToolCallActionKeypress struct{…}` + + A collection of keypresses the model would like to perform. + + - `Keys []string` + + The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. + + - `Type Keypress` + + Specifies the event type. For a keypress action, this property is always set to `keypress`. + + - `const KeypressKeypress Keypress = "keypress"` + + - `type ResponseComputerToolCallActionMove struct{…}` + + A mouse move action. + + - `Type Move` + + Specifies the event type. For a move action, this property is always set to `move`. + + - `const MoveMove Move = "move"` + + - `X int64` + + The x-coordinate to move to. + + - `Y int64` + + The y-coordinate to move to. + + - `Keys []string` + + The keys being held while moving the mouse. + + - `type ResponseComputerToolCallActionScreenshot struct{…}` + + A screenshot action. + + - `Type Screenshot` + + Specifies the event type. For a screenshot action, this property is always set to `screenshot`. + + - `const ScreenshotScreenshot Screenshot = "screenshot"` + + - `type ResponseComputerToolCallActionScroll struct{…}` + + A scroll action. + + - `ScrollX int64` + + The horizontal scroll distance. + + - `ScrollY int64` + + The vertical scroll distance. + + - `Type Scroll` + + Specifies the event type. For a scroll action, this property is always set to `scroll`. + + - `const ScrollScroll Scroll = "scroll"` + + - `X int64` + + The x-coordinate where the scroll occurred. + + - `Y int64` + + The y-coordinate where the scroll occurred. + + - `Keys []string` + + The keys being held while scrolling. + + - `type ResponseComputerToolCallActionType struct{…}` + + An action to type in text. + + - `Text string` + + The text to type. + + - `Type Type` + + Specifies the event type. For a type action, this property is always set to `type`. + + - `const TypeType Type = "type"` + + - `type ResponseComputerToolCallActionWait struct{…}` + + A wait action. + + - `Type Wait` + + Specifies the event type. For a wait action, this property is always set to `wait`. + + - `const WaitWait Wait = "wait"` + + - `Actions ComputerActionList` + + Flattened batched actions for `computer_use`. Each action includes an + `type` discriminator and action-specific fields. + + - `type ComputerActionClick struct{…}` + + A click action. + + - `Button string` + + Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. + + - `const ComputerActionClickButtonLeft ComputerActionClickButton = "left"` + + - `const ComputerActionClickButtonRight ComputerActionClickButton = "right"` + + - `const ComputerActionClickButtonWheel ComputerActionClickButton = "wheel"` + + - `const ComputerActionClickButtonBack ComputerActionClickButton = "back"` + + - `const ComputerActionClickButtonForward ComputerActionClickButton = "forward"` + + - `Type Click` + + Specifies the event type. For a click action, this property is always `click`. + + - `const ClickClick Click = "click"` + + - `X int64` + + The x-coordinate where the click occurred. + + - `Y int64` + + The y-coordinate where the click occurred. + + - `Keys []string` + + The keys being held while clicking. + + - `type ComputerActionDoubleClick struct{…}` + + A double click action. + + - `Keys []string` + + The keys being held while double-clicking. + + - `Type DoubleClick` + + Specifies the event type. For a double click action, this property is always set to `double_click`. + + - `const DoubleClickDoubleClick DoubleClick = "double_click"` + + - `X int64` + + The x-coordinate where the double click occurred. + + - `Y int64` + + The y-coordinate where the double click occurred. + + - `type ComputerActionDrag struct{…}` + + A drag action. + + - `Path []ComputerActionDragPath` + + 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 int64` + + The x-coordinate. + + - `Y int64` + + The y-coordinate. + + - `Type Drag` + + Specifies the event type. For a drag action, this property is always set to `drag`. + + - `const DragDrag Drag = "drag"` + + - `Keys []string` + + The keys being held while dragging the mouse. + + - `type ComputerActionKeypress struct{…}` + + A collection of keypresses the model would like to perform. + + - `Keys []string` + + The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key. + + - `Type Keypress` + + Specifies the event type. For a keypress action, this property is always set to `keypress`. + + - `const KeypressKeypress Keypress = "keypress"` + + - `type ComputerActionMove struct{…}` + + A mouse move action. + + - `Type Move` + + Specifies the event type. For a move action, this property is always set to `move`. + + - `const MoveMove Move = "move"` + + - `X int64` + + The x-coordinate to move to. + + - `Y int64` + + The y-coordinate to move to. + + - `Keys []string` + + The keys being held while moving the mouse. + + - `type ComputerActionScreenshot struct{…}` + + A screenshot action. + + - `Type Screenshot` + + Specifies the event type. For a screenshot action, this property is always set to `screenshot`. + + - `const ScreenshotScreenshot Screenshot = "screenshot"` + + - `type ComputerActionScroll struct{…}` + + A scroll action. + + - `ScrollX int64` + + The horizontal scroll distance. + + - `ScrollY int64` + + The vertical scroll distance. + + - `Type Scroll` + + Specifies the event type. For a scroll action, this property is always set to `scroll`. + + - `const ScrollScroll Scroll = "scroll"` + + - `X int64` + + The x-coordinate where the scroll occurred. + + - `Y int64` + + The y-coordinate where the scroll occurred. + + - `Keys []string` + + The keys being held while scrolling. + + - `type ComputerActionType struct{…}` + + An action to type in text. + + - `Text string` + + The text to type. + + - `Type Type` + + Specifies the event type. For a type action, this property is always set to `type`. + + - `const TypeType Type = "type"` + + - `type ComputerActionWait struct{…}` + + A wait action. + + - `Type Wait` + + Specifies the event type. For a wait action, this property is always set to `wait`. + + - `const WaitWait Wait = "wait"` + + - `type ResponseInputItemComputerCallOutput struct{…}` + + The output of a computer tool call. + + - `CallID string` + + The ID of the computer tool call that produced the output. + + - `Output ResponseComputerToolCallOutputScreenshot` + + A computer screenshot image used with the computer use tool. + + - `Type ComputerScreenshot` + + Specifies the event type. For a computer screenshot, this property is + always set to `computer_screenshot`. + + - `const ComputerScreenshotComputerScreenshot ComputerScreenshot = "computer_screenshot"` + + - `FileID string` + + The identifier of an uploaded file that contains the screenshot. + + - `ImageURL string` + + The URL of the screenshot image. + + - `Type ComputerCallOutput` + + The type of the computer tool call output. Always `computer_call_output`. + + - `const ComputerCallOutputComputerCallOutput ComputerCallOutput = "computer_call_output"` + + - `ID string` + + The ID of the computer tool call output. + + - `AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheck` + + The safety checks reported by the API that have been acknowledged by the developer. + + - `ID string` + + The ID of the pending safety check. + + - `Code string` + + The type of the pending safety check. + + - `Message string` + + Details about the pending safety check. + + - `Status string` + + The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. + + - `const ResponseInputItemComputerCallOutputStatusInProgress ResponseInputItemComputerCallOutputStatus = "in_progress"` + + - `const ResponseInputItemComputerCallOutputStatusCompleted ResponseInputItemComputerCallOutputStatus = "completed"` + + - `const ResponseInputItemComputerCallOutputStatusIncomplete ResponseInputItemComputerCallOutputStatus = "incomplete"` + + - `type ResponseFunctionWebSearch struct{…}` + + 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 string` + + The unique ID of the web search tool call. + + - `Action ResponseFunctionWebSearchActionUnion` + + 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). + + - `type ResponseFunctionWebSearchActionSearch struct{…}` + + Action type "search" - Performs a web search query. + + - `Type Search` + + The action type. + + - `const SearchSearch Search = "search"` + + - `Queries []string` + + The search queries. + + - `Query string` + + The search query. + + - `Sources []ResponseFunctionWebSearchActionSearchSource` + + The sources used in the search. + + - `Type URL` + + The type of source. Always `url`. + + - `const URLURL URL = "url"` + + - `URL string` + + The URL of the source. + + - `type ResponseFunctionWebSearchActionOpenPage struct{…}` + + Action type "open_page" - Opens a specific URL from search results. + + - `Type OpenPage` + + The action type. + + - `const OpenPageOpenPage OpenPage = "open_page"` + + - `URL string` + + The URL opened by the model. + + - `type ResponseFunctionWebSearchActionFindInPage struct{…}` + + Action type "find_in_page": Searches for a pattern within a loaded page. + + - `Pattern string` + + The pattern or text to search for within the page. + + - `Type FindInPage` + + The action type. + + - `const FindInPageFindInPage FindInPage = "find_in_page"` + + - `URL string` + + The URL of the page searched for the pattern. + + - `Status ResponseFunctionWebSearchStatus` + + The status of the web search tool call. + + - `const ResponseFunctionWebSearchStatusInProgress ResponseFunctionWebSearchStatus = "in_progress"` + + - `const ResponseFunctionWebSearchStatusSearching ResponseFunctionWebSearchStatus = "searching"` + + - `const ResponseFunctionWebSearchStatusCompleted ResponseFunctionWebSearchStatus = "completed"` + + - `const ResponseFunctionWebSearchStatusFailed ResponseFunctionWebSearchStatus = "failed"` + + - `Type WebSearchCall` + + The type of the web search tool call. Always `web_search_call`. + + - `const WebSearchCallWebSearchCall WebSearchCall = "web_search_call"` + + - `type ResponseFunctionToolCall struct{…}` + + A tool call to run a function. See the + [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. + + - `Arguments string` + + A JSON string of the arguments to pass to the function. + + - `CallID string` + + The unique ID of the function tool call generated by the model. + + - `Name string` + + The name of the function to run. + + - `Type FunctionCall` + + The type of the function tool call. Always `function_call`. + + - `const FunctionCallFunctionCall FunctionCall = "function_call"` + + - `ID string` + + The unique ID of the function tool call. + + - `Namespace string` + + The namespace of the function to run. + + - `Status ResponseFunctionToolCallStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseFunctionToolCallStatusInProgress ResponseFunctionToolCallStatus = "in_progress"` + + - `const ResponseFunctionToolCallStatusCompleted ResponseFunctionToolCallStatus = "completed"` + + - `const ResponseFunctionToolCallStatusIncomplete ResponseFunctionToolCallStatus = "incomplete"` + + - `type ResponseInputItemFunctionCallOutput struct{…}` + + The output of a function tool call. + + - `CallID string` + + The unique ID of the function tool call generated by the model. + + - `Output ResponseInputItemFunctionCallOutputOutputUnion` + + Text, image, or file output of the function tool call. + + - `string` + + - `type ResponseFunctionCallOutputItemList []ResponseFunctionCallOutputItemUnion` + + An array of content outputs (text, image, file) for the function tool call. + + - `type ResponseInputTextContent struct{…}` + + A text input to the model. + + - `Text string` + + The text input to the model. + + - `Type InputText` + + The type of the input item. Always `input_text`. + + - `const InputTextInputText InputText = "input_text"` + + - `type ResponseInputImageContent struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision) + + - `Type InputImage` + + The type of the input item. Always `input_image`. + + - `const InputImageInputImage InputImage = "input_image"` + + - `Detail ResponseInputImageContentDetail` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `const ResponseInputImageContentDetailLow ResponseInputImageContentDetail = "low"` + + - `const ResponseInputImageContentDetailHigh ResponseInputImageContentDetail = "high"` + + - `const ResponseInputImageContentDetailAuto ResponseInputImageContentDetail = "auto"` + + - `const ResponseInputImageContentDetailOriginal ResponseInputImageContentDetail = "original"` + + - `FileID string` + + The ID of the file to be sent to the model. + + - `ImageURL string` + + The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. + + - `type ResponseInputFileContent struct{…}` + + A file input to the model. + + - `Type InputFile` + + The type of the input item. Always `input_file`. + + - `const InputFileInputFile InputFile = "input_file"` + + - `Detail ResponseInputFileContentDetail` + + 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`. + + - `const ResponseInputFileContentDetailLow ResponseInputFileContentDetail = "low"` + + - `const ResponseInputFileContentDetailHigh ResponseInputFileContentDetail = "high"` + + - `FileData string` + + The base64-encoded data of the file to be sent to the model. + + - `FileID string` + + The ID of the file to be sent to the model. + + - `FileURL string` + + The URL of the file to be sent to the model. + + - `Filename string` + + The name of the file to be sent to the model. + + - `Type FunctionCallOutput` + + The type of the function tool call output. Always `function_call_output`. + + - `const FunctionCallOutputFunctionCallOutput FunctionCallOutput = "function_call_output"` + + - `ID string` + + The unique ID of the function tool call output. Populated when this item is returned via API. + + - `Status string` + + The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. + + - `const ResponseInputItemFunctionCallOutputStatusInProgress ResponseInputItemFunctionCallOutputStatus = "in_progress"` + + - `const ResponseInputItemFunctionCallOutputStatusCompleted ResponseInputItemFunctionCallOutputStatus = "completed"` + + - `const ResponseInputItemFunctionCallOutputStatusIncomplete ResponseInputItemFunctionCallOutputStatus = "incomplete"` + + - `type ResponseInputItemToolSearchCall struct{…}` + + - `Arguments any` + + The arguments supplied to the tool search call. + + - `Type ToolSearchCall` + + The item type. Always `tool_search_call`. + + - `const ToolSearchCallToolSearchCall ToolSearchCall = "tool_search_call"` + + - `ID string` + + The unique ID of this tool search call. + + - `CallID string` + + The unique ID of the tool search call generated by the model. + + - `Execution string` + + Whether tool search was executed by the server or by the client. + + - `const ResponseInputItemToolSearchCallExecutionServer ResponseInputItemToolSearchCallExecution = "server"` + + - `const ResponseInputItemToolSearchCallExecutionClient ResponseInputItemToolSearchCallExecution = "client"` + + - `Status string` + + The status of the tool search call. + + - `const ResponseInputItemToolSearchCallStatusInProgress ResponseInputItemToolSearchCallStatus = "in_progress"` + + - `const ResponseInputItemToolSearchCallStatusCompleted ResponseInputItemToolSearchCallStatus = "completed"` + + - `const ResponseInputItemToolSearchCallStatusIncomplete ResponseInputItemToolSearchCallStatus = "incomplete"` + + - `type ResponseToolSearchOutputItemParamResp struct{…}` + + - `Tools []ToolUnion` + + The loaded tool definitions returned by the tool search output. + + - `type FunctionTool struct{…}` + + 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 string` + + The name of the function to call. + + - `Parameters map[string, any]` + + A JSON schema object describing the parameters of the function. + + - `Strict bool` + + Whether to enforce strict parameter validation. Default `true`. + + - `Type Function` + + The type of the function tool. Always `function`. + + - `const FunctionFunction Function = "function"` + + - `DeferLoading bool` + + Whether this function is deferred and loaded via tool search. + + - `Description string` + + A description of the function. Used by the model to determine whether or not to call the function. + + - `type FileSearchTool struct{…}` + + 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 FileSearch` + + The type of the file search tool. Always `file_search`. + + - `const FileSearchFileSearch FileSearch = "file_search"` + + - `VectorStoreIDs []string` + + The IDs of the vector stores to search. + + - `Filters FileSearchToolFiltersUnion` + + A filter to apply. + + - `type ComparisonFilter struct{…}` + + A filter used to compare a specified attribute key to a given value using a defined comparison operation. + + - `Key string` + + The key to compare against the value. + + - `Type ComparisonFilterType` + + 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 + + - `const ComparisonFilterTypeEq ComparisonFilterType = "eq"` + + - `const ComparisonFilterTypeNe ComparisonFilterType = "ne"` + + - `const ComparisonFilterTypeGt ComparisonFilterType = "gt"` + + - `const ComparisonFilterTypeGte ComparisonFilterType = "gte"` + + - `const ComparisonFilterTypeLt ComparisonFilterType = "lt"` + + - `const ComparisonFilterTypeLte ComparisonFilterType = "lte"` + + - `const ComparisonFilterTypeIn ComparisonFilterType = "in"` + + - `const ComparisonFilterTypeNin ComparisonFilterType = "nin"` + + - `Value ComparisonFilterValueUnion` + + The value to compare against the attribute key; supports string, number, or boolean types. + + - `string` + + - `float64` + + - `bool` + + - `type ComparisonFilterValueArray []ComparisonFilterValueArrayItemUnion` + + - `string` + + - `float64` + + - `type CompoundFilter struct{…}` + + Combine multiple filters using `and` or `or`. + + - `Filters []ComparisonFilter` + + Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. + + - `type ComparisonFilter struct{…}` + + A filter used to compare a specified attribute key to a given value using a defined comparison operation. + + - `Type CompoundFilterType` + + Type of operation: `and` or `or`. + + - `const CompoundFilterTypeAnd CompoundFilterType = "and"` + + - `const CompoundFilterTypeOr CompoundFilterType = "or"` + + - `MaxNumResults int64` + + The maximum number of results to return. This number should be between 1 and 50 inclusive. + + - `RankingOptions FileSearchToolRankingOptions` + + Ranking options for search. + + - `HybridSearch FileSearchToolRankingOptionsHybridSearch` + + Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled. + + - `EmbeddingWeight float64` + + The weight of the embedding in the reciprocal ranking fusion. + + - `TextWeight float64` + + The weight of the text in the reciprocal ranking fusion. + + - `Ranker string` + + The ranker to use for the file search. + + - `const FileSearchToolRankingOptionsRankerAuto FileSearchToolRankingOptionsRanker = "auto"` + + - `const FileSearchToolRankingOptionsRankerDefault2024_11_15 FileSearchToolRankingOptionsRanker = "default-2024-11-15"` + + - `ScoreThreshold float64` + + 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. + + - `type ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `Type Computer` + + The type of the computer tool. Always `computer`. + + - `const ComputerComputer Computer = "computer"` + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `DisplayHeight int64` + + The height of the computer display. + + - `DisplayWidth int64` + + The width of the computer display. + + - `Environment ComputerUsePreviewToolEnvironment` + + The type of computer environment to control. + + - `const ComputerUsePreviewToolEnvironmentWindows ComputerUsePreviewToolEnvironment = "windows"` + + - `const ComputerUsePreviewToolEnvironmentMac ComputerUsePreviewToolEnvironment = "mac"` + + - `const ComputerUsePreviewToolEnvironmentLinux ComputerUsePreviewToolEnvironment = "linux"` + + - `const ComputerUsePreviewToolEnvironmentUbuntu ComputerUsePreviewToolEnvironment = "ubuntu"` + + - `const ComputerUsePreviewToolEnvironmentBrowser ComputerUsePreviewToolEnvironment = "browser"` + + - `Type ComputerUsePreview` + + The type of the computer use tool. Always `computer_use_preview`. + + - `const ComputerUsePreviewComputerUsePreview ComputerUsePreview = "computer_use_preview"` + + - `type WebSearchTool struct{…}` + + 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 WebSearchToolType` + + The type of the web search tool. One of `web_search` or `web_search_2025_08_26`. + + - `const WebSearchToolTypeWebSearch WebSearchToolType = "web_search"` + + - `const WebSearchToolTypeWebSearch2025_08_26 WebSearchToolType = "web_search_2025_08_26"` + + - `Filters WebSearchToolFilters` + + Filters for the search. + + - `AllowedDomains []string` + + 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"]` + + - `SearchContextSize WebSearchToolSearchContextSize` + + 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. + + - `const WebSearchToolSearchContextSizeLow WebSearchToolSearchContextSize = "low"` + + - `const WebSearchToolSearchContextSizeMedium WebSearchToolSearchContextSize = "medium"` + + - `const WebSearchToolSearchContextSizeHigh WebSearchToolSearchContextSize = "high"` + + - `UserLocation WebSearchToolUserLocation` + + The approximate location of the user. + + - `City string` + + Free text input for the city of the user, e.g. `San Francisco`. + + - `Country string` + + The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. + + - `Region string` + + Free text input for the region of the user, e.g. `California`. + + - `Timezone string` + + The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. + + - `Type string` + + The type of location approximation. Always `approximate`. + + - `const WebSearchToolUserLocationTypeApproximate WebSearchToolUserLocationType = "approximate"` + + - `type ToolMcp struct{…}` + + 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). + + - `ServerLabel string` + + A label for this MCP server, used to identify it in tool calls. + + - `Type Mcp` + + The type of the MCP tool. Always `mcp`. + + - `const McpMcp Mcp = "mcp"` + + - `AllowedTools ToolMcpAllowedToolsUnion` + + List of allowed tool names or a filter object. + + - `type ToolMcpAllowedToolsMcpAllowedTools []string` + + A string array of allowed tool names + + - `type ToolMcpAllowedToolsMcpToolFilter struct{…}` + + A filter object to specify which tools are allowed. + + - `ReadOnly 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. + + - `ToolNames []string` + + List of allowed tool names. + + - `Authorization string` + + 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. + + - `ConnectorID string` + + 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` + + - `const ToolMcpConnectorIDConnectorDropbox ToolMcpConnectorID = "connector_dropbox"` + + - `const ToolMcpConnectorIDConnectorGmail ToolMcpConnectorID = "connector_gmail"` + + - `const ToolMcpConnectorIDConnectorGooglecalendar ToolMcpConnectorID = "connector_googlecalendar"` + + - `const ToolMcpConnectorIDConnectorGoogledrive ToolMcpConnectorID = "connector_googledrive"` + + - `const ToolMcpConnectorIDConnectorMicrosoftteams ToolMcpConnectorID = "connector_microsoftteams"` + + - `const ToolMcpConnectorIDConnectorOutlookcalendar ToolMcpConnectorID = "connector_outlookcalendar"` + + - `const ToolMcpConnectorIDConnectorOutlookemail ToolMcpConnectorID = "connector_outlookemail"` + + - `const ToolMcpConnectorIDConnectorSharepoint ToolMcpConnectorID = "connector_sharepoint"` + + - `DeferLoading bool` + + Whether this MCP tool is deferred and discovered via tool search. + + - `Headers map[string, string]` + + Optional HTTP headers to send to the MCP server. Use for authentication + or other purposes. + + - `RequireApproval ToolMcpRequireApprovalUnion` + + Specify which of the MCP server's tools require approval. + + - `type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}` + + 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 ToolMcpRequireApprovalMcpToolApprovalFilterAlways` + + A filter object to specify which tools are allowed. + + - `ReadOnly 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. + + - `ToolNames []string` + + List of allowed tool names. + + - `Never ToolMcpRequireApprovalMcpToolApprovalFilterNever` + + A filter object to specify which tools are allowed. + + - `ReadOnly 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. + + - `ToolNames []string` + + List of allowed tool names. + + - `type ToolMcpRequireApprovalMcpToolApprovalSetting string` + + 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. + + - `const ToolMcpRequireApprovalMcpToolApprovalSettingAlways ToolMcpRequireApprovalMcpToolApprovalSetting = "always"` + + - `const ToolMcpRequireApprovalMcpToolApprovalSettingNever ToolMcpRequireApprovalMcpToolApprovalSetting = "never"` + + - `ServerDescription string` + + Optional description of the MCP server, used to provide more context. + + - `ServerURL string` + + The URL for the MCP server. One of `server_url` or `connector_id` must be + provided. + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `Container ToolCodeInterpreterContainerUnion` + + 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. + + - `string` + + - `type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}` + + Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on. + + - `Type Auto` + + Always `auto`. + + - `const AutoAuto Auto = "auto"` + + - `FileIDs []string` + + An optional list of uploaded files to make available to your code. + + - `MemoryLimit string` + + The memory limit for the code interpreter container. + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit1g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "1g"` + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit4g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "4g"` + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit16g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "16g"` + + - `const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit64g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "64g"` + + - `NetworkPolicy ToolCodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicyUnion` + + Network access policy for the container. + + - `type ContainerNetworkPolicyDisabled struct{…}` + + - `Type Disabled` + + Disable outbound network access. Always `disabled`. + + - `const DisabledDisabled Disabled = "disabled"` + + - `type ContainerNetworkPolicyAllowlist struct{…}` + + - `AllowedDomains []string` + + A list of allowed domains when type is `allowlist`. + + - `Type Allowlist` + + Allow outbound network access only to specified domains. Always `allowlist`. + + - `const AllowlistAllowlist Allowlist = "allowlist"` + + - `DomainSecrets []ContainerNetworkPolicyDomainSecret` + + Optional domain-scoped secrets for allowlisted domains. + + - `Domain string` + + The domain associated with the secret. + + - `Name string` + + The name of the secret to inject for the domain. + + - `Value string` + + The secret value to inject for the domain. + + - `Type CodeInterpreter` + + The type of the code interpreter tool. Always `code_interpreter`. + + - `const CodeInterpreterCodeInterpreter CodeInterpreter = "code_interpreter"` + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `Type ImageGeneration` + + The type of the image generation tool. Always `image_generation`. + + - `const ImageGenerationImageGeneration ImageGeneration = "image_generation"` + + - `Action string` + + Whether to generate a new image or edit an existing image. Default: `auto`. + + - `const ToolImageGenerationActionGenerate ToolImageGenerationAction = "generate"` + + - `const ToolImageGenerationActionEdit ToolImageGenerationAction = "edit"` + + - `const ToolImageGenerationActionAuto ToolImageGenerationAction = "auto"` + + - `Background string` + + 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`. + + - `const ToolImageGenerationBackgroundTransparent ToolImageGenerationBackground = "transparent"` + + - `const ToolImageGenerationBackgroundOpaque ToolImageGenerationBackground = "opaque"` + + - `const ToolImageGenerationBackgroundAuto ToolImageGenerationBackground = "auto"` + + - `InputFidelity string` + + 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`. + + - `const ToolImageGenerationInputFidelityHigh ToolImageGenerationInputFidelity = "high"` + + - `const ToolImageGenerationInputFidelityLow ToolImageGenerationInputFidelity = "low"` + + - `InputImageMask ToolImageGenerationInputImageMask` + + Optional mask for inpainting. Contains `image_url` + (string, optional) and `file_id` (string, optional). + + - `FileID string` + + File ID for the mask image. + + - `ImageURL string` + + Base64-encoded mask image. + + - `Model string` + + The image generation model to use. Default: `gpt-image-1`. + + - `string` + + - `string` + + - `const ToolImageGenerationModelGPTImage1 ToolImageGenerationModel = "gpt-image-1"` + + - `const ToolImageGenerationModelGPTImage1Mini ToolImageGenerationModel = "gpt-image-1-mini"` + + - `const ToolImageGenerationModelGPTImage2 ToolImageGenerationModel = "gpt-image-2"` + + - `const ToolImageGenerationModelGPTImage2_2026_04_21 ToolImageGenerationModel = "gpt-image-2-2026-04-21"` + + - `const ToolImageGenerationModelGPTImage1_5 ToolImageGenerationModel = "gpt-image-1.5"` + + - `const ToolImageGenerationModelChatgptImageLatest ToolImageGenerationModel = "chatgpt-image-latest"` + + - `Moderation string` + + Moderation level for the generated image. Default: `auto`. + + - `const ToolImageGenerationModerationAuto ToolImageGenerationModeration = "auto"` + + - `const ToolImageGenerationModerationLow ToolImageGenerationModeration = "low"` + + - `OutputCompression int64` + + Compression level for the output image. Default: 100. + + - `OutputFormat string` + + The output format of the generated image. One of `png`, `webp`, or + `jpeg`. Default: `png`. + + - `const ToolImageGenerationOutputFormatPNG ToolImageGenerationOutputFormat = "png"` + + - `const ToolImageGenerationOutputFormatWebP ToolImageGenerationOutputFormat = "webp"` + + - `const ToolImageGenerationOutputFormatJPEG ToolImageGenerationOutputFormat = "jpeg"` + + - `PartialImages int64` + + Number of partial images to generate in streaming mode, from 0 (default value) to 3. + + - `Quality string` + + The quality of the generated image. One of `low`, `medium`, `high`, + or `auto`. Default: `auto`. + + - `const ToolImageGenerationQualityLow ToolImageGenerationQuality = "low"` + + - `const ToolImageGenerationQualityMedium ToolImageGenerationQuality = "medium"` + + - `const ToolImageGenerationQualityHigh ToolImageGenerationQuality = "high"` + + - `const ToolImageGenerationQualityAuto ToolImageGenerationQuality = "auto"` + + - `Size string` + + 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`. + + - `string` + + - `string` + + - `const ToolImageGenerationSize1024x1024 ToolImageGenerationSize = "1024x1024"` + + - `const ToolImageGenerationSize1024x1536 ToolImageGenerationSize = "1024x1536"` + + - `const ToolImageGenerationSize1536x1024 ToolImageGenerationSize = "1536x1024"` + + - `const ToolImageGenerationSizeAuto ToolImageGenerationSize = "auto"` + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `Type LocalShell` + + The type of the local shell tool. Always `local_shell`. + + - `const LocalShellLocalShell LocalShell = "local_shell"` + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `Type Shell` + + The type of the shell tool. Always `shell`. + + - `const ShellShell Shell = "shell"` + + - `Environment FunctionShellToolEnvironmentUnion` + + - `type ContainerAuto struct{…}` + + - `Type ContainerAuto` + + Automatically creates a container for this request + + - `const ContainerAutoContainerAuto ContainerAuto = "container_auto"` + + - `FileIDs []string` + + An optional list of uploaded files to make available to your code. + + - `MemoryLimit ContainerAutoMemoryLimit` + + The memory limit for the container. + + - `const ContainerAutoMemoryLimit1g ContainerAutoMemoryLimit = "1g"` + + - `const ContainerAutoMemoryLimit4g ContainerAutoMemoryLimit = "4g"` + + - `const ContainerAutoMemoryLimit16g ContainerAutoMemoryLimit = "16g"` + + - `const ContainerAutoMemoryLimit64g ContainerAutoMemoryLimit = "64g"` + + - `NetworkPolicy ContainerAutoNetworkPolicyUnion` + + Network access policy for the container. + + - `type ContainerNetworkPolicyDisabled struct{…}` + + - `type ContainerNetworkPolicyAllowlist struct{…}` + + - `Skills []ContainerAutoSkillUnion` + + An optional list of skills referenced by id or inline data. + + - `type SkillReference struct{…}` + + - `SkillID string` + + The ID of the referenced skill. + + - `Type SkillReference` + + References a skill created with the /v1/skills endpoint. + + - `const SkillReferenceSkillReference SkillReference = "skill_reference"` + + - `Version string` + + Optional skill version. Use a positive integer or 'latest'. Omit for default. + + - `type InlineSkill struct{…}` + + - `Description string` + + The description of the skill. + + - `Name string` + + The name of the skill. + + - `Source InlineSkillSource` + + Inline skill payload + + - `Data string` + + Base64-encoded skill zip bundle. + + - `MediaType ApplicationZip` + + The media type of the inline skill payload. Must be `application/zip`. + + - `const ApplicationZipApplicationZip ApplicationZip = "application/zip"` + + - `Type Base64` + + The type of the inline skill source. Must be `base64`. + + - `const Base64Base64 Base64 = "base64"` + + - `Type Inline` + + Defines an inline skill for this request. + + - `const InlineInline Inline = "inline"` + + - `type LocalEnvironment struct{…}` + + - `Type Local` + + Use a local computer environment. + + - `const LocalLocal Local = "local"` + + - `Skills []LocalSkill` + + An optional list of skills. + + - `Description string` + + The description of the skill. + + - `Name string` + + The name of the skill. + + - `Path string` + + The path to the directory containing the skill. + + - `type ContainerReference struct{…}` + + - `ContainerID string` + + The ID of the referenced container. + + - `Type ContainerReference` + + References a container created with the /v1/containers endpoint + + - `const ContainerReferenceContainerReference ContainerReference = "container_reference"` + + - `type CustomTool struct{…}` + + 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 string` + + The name of the custom tool, used to identify it in tool calls. + + - `Type Custom` + + The type of the custom tool. Always `custom`. + + - `const CustomCustom Custom = "custom"` + + - `DeferLoading bool` + + Whether this tool should be deferred and discovered via tool search. + + - `Description string` + + Optional description of the custom tool, used to provide more context. + + - `Format CustomToolInputFormatUnion` + + The input format for the custom tool. Default is unconstrained text. + + - `type CustomToolInputFormatText struct{…}` + + Unconstrained free-form text. + + - `Type Text` + + Unconstrained text format. Always `text`. + + - `const TextText Text = "text"` + + - `type CustomToolInputFormatGrammar struct{…}` + + A grammar defined by the user. + + - `Definition string` + + The grammar definition. + + - `Syntax string` + + The syntax of the grammar definition. One of `lark` or `regex`. + + - `const CustomToolInputFormatGrammarSyntaxLark CustomToolInputFormatGrammarSyntax = "lark"` + + - `const CustomToolInputFormatGrammarSyntaxRegex CustomToolInputFormatGrammarSyntax = "regex"` + + - `Type Grammar` + + Grammar format. Always `grammar`. + + - `const GrammarGrammar Grammar = "grammar"` + + - `type NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `Description string` + + A description of the namespace shown to the model. + + - `Name string` + + The namespace name used in tool calls (for example, `crm`). + + - `Tools []NamespaceToolToolUnion` + + The function/custom tools available inside this namespace. + + - `type NamespaceToolToolFunction struct{…}` + + - `Name string` + + - `Type Function` + + - `const FunctionFunction Function = "function"` + + - `DeferLoading bool` + + Whether this function should be deferred and discovered via tool search. + + - `Description string` + + - `Parameters any` + + - `Strict bool` + + - `type CustomTool struct{…}` + + 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 Namespace` + + The type of the tool. Always `namespace`. + + - `const NamespaceNamespace Namespace = "namespace"` + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `Type ToolSearch` + + The type of the tool. Always `tool_search`. + + - `const ToolSearchToolSearch ToolSearch = "tool_search"` + + - `Description string` + + Description shown to the model for a client-executed tool search tool. + + - `Execution ToolSearchToolExecution` + + Whether tool search is executed by the server or by the client. + + - `const ToolSearchToolExecutionServer ToolSearchToolExecution = "server"` + + - `const ToolSearchToolExecutionClient ToolSearchToolExecution = "client"` + + - `Parameters any` + + Parameter schema for a client-executed tool search tool. + + - `type WebSearchPreviewTool struct{…}` + + 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 WebSearchPreviewToolType` + + The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`. + + - `const WebSearchPreviewToolTypeWebSearchPreview WebSearchPreviewToolType = "web_search_preview"` + + - `const WebSearchPreviewToolTypeWebSearchPreview2025_03_11 WebSearchPreviewToolType = "web_search_preview_2025_03_11"` + + - `SearchContentTypes []string` + + - `const WebSearchPreviewToolSearchContentTypeText WebSearchPreviewToolSearchContentType = "text"` + + - `const WebSearchPreviewToolSearchContentTypeImage WebSearchPreviewToolSearchContentType = "image"` + + - `SearchContextSize WebSearchPreviewToolSearchContextSize` + + 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. + + - `const WebSearchPreviewToolSearchContextSizeLow WebSearchPreviewToolSearchContextSize = "low"` + + - `const WebSearchPreviewToolSearchContextSizeMedium WebSearchPreviewToolSearchContextSize = "medium"` + + - `const WebSearchPreviewToolSearchContextSizeHigh WebSearchPreviewToolSearchContextSize = "high"` + + - `UserLocation WebSearchPreviewToolUserLocation` + + The user's location. + + - `Type Approximate` + + The type of location approximation. Always `approximate`. + + - `const ApproximateApproximate Approximate = "approximate"` + + - `City string` + + Free text input for the city of the user, e.g. `San Francisco`. + + - `Country string` + + The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. + + - `Region string` + + Free text input for the region of the user, e.g. `California`. + + - `Timezone string` + + The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. + + - `type ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `Type ApplyPatch` + + The type of the tool. Always `apply_patch`. + + - `const ApplyPatchApplyPatch ApplyPatch = "apply_patch"` + + - `Type ToolSearchOutput` + + The item type. Always `tool_search_output`. + + - `const ToolSearchOutputToolSearchOutput ToolSearchOutput = "tool_search_output"` + + - `ID string` + + The unique ID of this tool search output. + + - `CallID string` + + The unique ID of the tool search call generated by the model. + + - `Execution ResponseToolSearchOutputItemParamExecution` + + Whether tool search was executed by the server or by the client. + + - `const ResponseToolSearchOutputItemParamExecutionServer ResponseToolSearchOutputItemParamExecution = "server"` + + - `const ResponseToolSearchOutputItemParamExecutionClient ResponseToolSearchOutputItemParamExecution = "client"` + + - `Status ResponseToolSearchOutputItemParamStatus` + + The status of the tool search output. + + - `const ResponseToolSearchOutputItemParamStatusInProgress ResponseToolSearchOutputItemParamStatus = "in_progress"` + + - `const ResponseToolSearchOutputItemParamStatusCompleted ResponseToolSearchOutputItemParamStatus = "completed"` + + - `const ResponseToolSearchOutputItemParamStatusIncomplete ResponseToolSearchOutputItemParamStatus = "incomplete"` + + - `type ResponseInputItemAdditionalTools struct{…}` + + - `Role Developer` + + The role that provided the additional tools. Only `developer` is supported. + + - `const DeveloperDeveloper Developer = "developer"` + + - `Tools []ToolUnion` + + A list of additional tools made available at this item. + + - `type FunctionTool struct{…}` + + 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). + + - `type FileSearchTool struct{…}` + + 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 ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type WebSearchTool struct{…}` + + 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 ToolMcp struct{…}` + + 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). + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `type CustomTool struct{…}` + + 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 NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `type WebSearchPreviewTool struct{…}` + + 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 ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `Type AdditionalTools` + + The item type. Always `additional_tools`. + + - `const AdditionalToolsAdditionalTools AdditionalTools = "additional_tools"` + + - `ID string` + + The unique ID of this additional tools item. + + - `type ResponseReasoningItem struct{…}` + + 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 string` + + The unique identifier of the reasoning content. + + - `Summary []ResponseReasoningItemSummary` + + Reasoning summary content. + + - `Text string` + + A summary of the reasoning output from the model so far. + + - `Type SummaryText` + + The type of the object. Always `summary_text`. + + - `const SummaryTextSummaryText SummaryText = "summary_text"` + + - `Type Reasoning` + + The type of the object. Always `reasoning`. + + - `const ReasoningReasoning Reasoning = "reasoning"` + + - `Content []ResponseReasoningItemContent` + + Reasoning text content. + + - `Text string` + + The reasoning text from the model. + + - `Type ReasoningText` + + The type of the reasoning text. Always `reasoning_text`. + + - `const ReasoningTextReasoningText ReasoningText = "reasoning_text"` + + - `EncryptedContent string` + + The encrypted content of the reasoning item - populated when a response is + generated with `reasoning.encrypted_content` in the `include` parameter. + + - `Status ResponseReasoningItemStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseReasoningItemStatusInProgress ResponseReasoningItemStatus = "in_progress"` + + - `const ResponseReasoningItemStatusCompleted ResponseReasoningItemStatus = "completed"` + + - `const ResponseReasoningItemStatusIncomplete ResponseReasoningItemStatus = "incomplete"` + + - `type ResponseCompactionItemParamResp struct{…}` + + A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). + + - `EncryptedContent string` + + The encrypted content of the compaction summary. + + - `Type Compaction` + + The type of the item. Always `compaction`. + + - `const CompactionCompaction Compaction = "compaction"` + + - `ID string` + + The ID of the compaction item. + + - `type ResponseInputItemImageGenerationCall struct{…}` + + An image generation request made by the model. + + - `ID string` + + The unique ID of the image generation call. + + - `Result string` + + The generated image encoded in base64. + + - `Status string` + + The status of the image generation call. + + - `const ResponseInputItemImageGenerationCallStatusInProgress ResponseInputItemImageGenerationCallStatus = "in_progress"` + + - `const ResponseInputItemImageGenerationCallStatusCompleted ResponseInputItemImageGenerationCallStatus = "completed"` + + - `const ResponseInputItemImageGenerationCallStatusGenerating ResponseInputItemImageGenerationCallStatus = "generating"` + + - `const ResponseInputItemImageGenerationCallStatusFailed ResponseInputItemImageGenerationCallStatus = "failed"` + + - `Type ImageGenerationCall` + + The type of the image generation call. Always `image_generation_call`. + + - `const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"` + + - `type ResponseCodeInterpreterToolCall struct{…}` + + A tool call to run code. + + - `ID string` + + The unique ID of the code interpreter tool call. + + - `Code string` + + The code to run, or null if not available. + + - `ContainerID string` + + The ID of the container used to run the code. + + - `Outputs []ResponseCodeInterpreterToolCallOutputUnion` + + The outputs generated by the code interpreter, such as logs or images. + Can be null if no outputs are available. + + - `type ResponseCodeInterpreterToolCallOutputLogs struct{…}` + + The logs output from the code interpreter. + + - `Logs string` + + The logs output from the code interpreter. + + - `Type Logs` + + The type of the output. Always `logs`. + + - `const LogsLogs Logs = "logs"` + + - `type ResponseCodeInterpreterToolCallOutputImage struct{…}` + + The image output from the code interpreter. + + - `Type Image` + + The type of the output. Always `image`. + + - `const ImageImage Image = "image"` + + - `URL string` + + The URL of the image output from the code interpreter. + + - `Status ResponseCodeInterpreterToolCallStatus` + + The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`. + + - `const ResponseCodeInterpreterToolCallStatusInProgress ResponseCodeInterpreterToolCallStatus = "in_progress"` + + - `const ResponseCodeInterpreterToolCallStatusCompleted ResponseCodeInterpreterToolCallStatus = "completed"` + + - `const ResponseCodeInterpreterToolCallStatusIncomplete ResponseCodeInterpreterToolCallStatus = "incomplete"` + + - `const ResponseCodeInterpreterToolCallStatusInterpreting ResponseCodeInterpreterToolCallStatus = "interpreting"` + + - `const ResponseCodeInterpreterToolCallStatusFailed ResponseCodeInterpreterToolCallStatus = "failed"` + + - `Type CodeInterpreterCall` + + The type of the code interpreter tool call. Always `code_interpreter_call`. + + - `const CodeInterpreterCallCodeInterpreterCall CodeInterpreterCall = "code_interpreter_call"` + + - `type ResponseInputItemLocalShellCall struct{…}` + + A tool call to run a command on the local shell. + + - `ID string` + + The unique ID of the local shell call. + + - `Action ResponseInputItemLocalShellCallAction` + + Execute a shell command on the server. + + - `Command []string` + + The command to run. + + - `Env map[string, string]` + + Environment variables to set for the command. + + - `Type Exec` + + The type of the local shell action. Always `exec`. + + - `const ExecExec Exec = "exec"` + + - `TimeoutMs int64` + + Optional timeout in milliseconds for the command. + + - `User string` + + Optional user to run the command as. + + - `WorkingDirectory string` + + Optional working directory to run the command in. + + - `CallID string` + + The unique ID of the local shell tool call generated by the model. + + - `Status string` + + The status of the local shell call. + + - `const ResponseInputItemLocalShellCallStatusInProgress ResponseInputItemLocalShellCallStatus = "in_progress"` + + - `const ResponseInputItemLocalShellCallStatusCompleted ResponseInputItemLocalShellCallStatus = "completed"` + + - `const ResponseInputItemLocalShellCallStatusIncomplete ResponseInputItemLocalShellCallStatus = "incomplete"` + + - `Type LocalShellCall` + + The type of the local shell call. Always `local_shell_call`. + + - `const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"` + + - `type ResponseInputItemLocalShellCallOutput struct{…}` + + The output of a local shell tool call. + + - `ID string` + + The unique ID of the local shell tool call generated by the model. + + - `Output string` + + A JSON string of the output of the local shell tool call. + + - `Type LocalShellCallOutput` + + The type of the local shell tool call output. Always `local_shell_call_output`. + + - `const LocalShellCallOutputLocalShellCallOutput LocalShellCallOutput = "local_shell_call_output"` + + - `Status string` + + The status of the item. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseInputItemLocalShellCallOutputStatusInProgress ResponseInputItemLocalShellCallOutputStatus = "in_progress"` + + - `const ResponseInputItemLocalShellCallOutputStatusCompleted ResponseInputItemLocalShellCallOutputStatus = "completed"` + + - `const ResponseInputItemLocalShellCallOutputStatusIncomplete ResponseInputItemLocalShellCallOutputStatus = "incomplete"` + + - `type ResponseInputItemShellCall struct{…}` + + A tool representing a request to execute one or more shell commands. + + - `Action ResponseInputItemShellCallAction` + + The shell commands and limits that describe how to run the tool call. + + - `Commands []string` + + Ordered shell commands for the execution environment to run. + + - `MaxOutputLength int64` + + Maximum number of UTF-8 characters to capture from combined stdout and stderr output. + + - `TimeoutMs int64` + + Maximum wall-clock time in milliseconds to allow the shell commands to run. + + - `CallID string` + + The unique ID of the shell tool call generated by the model. + + - `Type ShellCall` + + The type of the item. Always `shell_call`. + + - `const ShellCallShellCall ShellCall = "shell_call"` + + - `ID string` + + The unique ID of the shell tool call. Populated when this item is returned via API. + + - `Environment ResponseInputItemShellCallEnvironmentUnion` + + The environment to execute the shell commands in. + + - `type LocalEnvironment struct{…}` + + - `type ContainerReference struct{…}` + + - `Status string` + + The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseInputItemShellCallStatusInProgress ResponseInputItemShellCallStatus = "in_progress"` + + - `const ResponseInputItemShellCallStatusCompleted ResponseInputItemShellCallStatus = "completed"` + + - `const ResponseInputItemShellCallStatusIncomplete ResponseInputItemShellCallStatus = "incomplete"` + + - `type ResponseInputItemShellCallOutput struct{…}` + + The streamed output items emitted by a shell tool call. + + - `CallID string` + + The unique ID of the shell tool call generated by the model. + + - `Output []ResponseFunctionShellCallOutputContent` + + Captured chunks of stdout and stderr output, along with their associated outcomes. + + - `Outcome ResponseFunctionShellCallOutputContentOutcomeUnion` + + The exit or timeout outcome associated with this shell call. + + - `type ResponseFunctionShellCallOutputContentOutcomeTimeout struct{…}` + + Indicates that the shell call exceeded its configured time limit. + + - `Type Timeout` + + The outcome type. Always `timeout`. + + - `const TimeoutTimeout Timeout = "timeout"` + + - `type ResponseFunctionShellCallOutputContentOutcomeExit struct{…}` + + Indicates that the shell commands finished and returned an exit code. + + - `ExitCode int64` + + The exit code returned by the shell process. + + - `Type Exit` + + The outcome type. Always `exit`. + + - `const ExitExit Exit = "exit"` + + - `Stderr string` + + Captured stderr output for the shell call. + + - `Stdout string` + + Captured stdout output for the shell call. + + - `Type ShellCallOutput` + + The type of the item. Always `shell_call_output`. + + - `const ShellCallOutputShellCallOutput ShellCallOutput = "shell_call_output"` + + - `ID string` + + The unique ID of the shell tool call output. Populated when this item is returned via API. + + - `MaxOutputLength int64` + + The maximum number of UTF-8 characters captured for this shell call's combined output. + + - `Status string` + + The status of the shell call output. + + - `const ResponseInputItemShellCallOutputStatusInProgress ResponseInputItemShellCallOutputStatus = "in_progress"` + + - `const ResponseInputItemShellCallOutputStatusCompleted ResponseInputItemShellCallOutputStatus = "completed"` + + - `const ResponseInputItemShellCallOutputStatusIncomplete ResponseInputItemShellCallOutputStatus = "incomplete"` + + - `type ResponseInputItemApplyPatchCall struct{…}` + + A tool call representing a request to create, delete, or update files using diff patches. + + - `CallID string` + + The unique ID of the apply patch tool call generated by the model. + + - `Operation ResponseInputItemApplyPatchCallOperationUnion` + + The specific create, delete, or update instruction for the apply_patch tool call. + + - `type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}` + + Instruction for creating a new file via the apply_patch tool. + + - `Diff string` + + Unified diff content to apply when creating the file. + + - `Path string` + + Path of the file to create relative to the workspace root. + + - `Type CreateFile` + + The operation type. Always `create_file`. + + - `const CreateFileCreateFile CreateFile = "create_file"` + + - `type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}` + + Instruction for deleting an existing file via the apply_patch tool. + + - `Path string` + + Path of the file to delete relative to the workspace root. + + - `Type DeleteFile` + + The operation type. Always `delete_file`. + + - `const DeleteFileDeleteFile DeleteFile = "delete_file"` + + - `type ResponseInputItemApplyPatchCallOperationUpdateFile struct{…}` + + Instruction for updating an existing file via the apply_patch tool. + + - `Diff string` + + Unified diff content to apply to the existing file. + + - `Path string` + + Path of the file to update relative to the workspace root. + + - `Type UpdateFile` + + The operation type. Always `update_file`. + + - `const UpdateFileUpdateFile UpdateFile = "update_file"` + + - `Status string` + + The status of the apply patch tool call. One of `in_progress` or `completed`. + + - `const ResponseInputItemApplyPatchCallStatusInProgress ResponseInputItemApplyPatchCallStatus = "in_progress"` + + - `const ResponseInputItemApplyPatchCallStatusCompleted ResponseInputItemApplyPatchCallStatus = "completed"` + + - `Type ApplyPatchCall` + + The type of the item. Always `apply_patch_call`. + + - `const ApplyPatchCallApplyPatchCall ApplyPatchCall = "apply_patch_call"` + + - `ID string` + + The unique ID of the apply patch tool call. Populated when this item is returned via API. + + - `type ResponseInputItemApplyPatchCallOutput struct{…}` + + The streamed output emitted by an apply patch tool call. + + - `CallID string` + + The unique ID of the apply patch tool call generated by the model. + + - `Status string` + + The status of the apply patch tool call output. One of `completed` or `failed`. + + - `const ResponseInputItemApplyPatchCallOutputStatusCompleted ResponseInputItemApplyPatchCallOutputStatus = "completed"` + + - `const ResponseInputItemApplyPatchCallOutputStatusFailed ResponseInputItemApplyPatchCallOutputStatus = "failed"` + + - `Type ApplyPatchCallOutput` + + The type of the item. Always `apply_patch_call_output`. + + - `const ApplyPatchCallOutputApplyPatchCallOutput ApplyPatchCallOutput = "apply_patch_call_output"` + + - `ID string` + + The unique ID of the apply patch tool call output. Populated when this item is returned via API. + + - `Output string` + + Optional human-readable log text from the apply patch tool (e.g., patch results or errors). + + - `type ResponseInputItemMcpListTools struct{…}` + + A list of tools available on an MCP server. + + - `ID string` + + The unique ID of the list. + + - `ServerLabel string` + + The label of the MCP server. + + - `Tools []ResponseInputItemMcpListToolsTool` + + The tools available on the server. + + - `InputSchema any` + + The JSON schema describing the tool's input. + + - `Name string` + + The name of the tool. + + - `Annotations any` + + Additional annotations about the tool. + + - `Description string` + + The description of the tool. + + - `Type McpListTools` + + The type of the item. Always `mcp_list_tools`. + + - `const McpListToolsMcpListTools McpListTools = "mcp_list_tools"` + + - `Error string` + + Error message if the server could not list tools. + + - `type ResponseInputItemMcpApprovalRequest struct{…}` + + A request for human approval of a tool invocation. + + - `ID string` + + The unique ID of the approval request. + + - `Arguments string` + + A JSON string of arguments for the tool. + + - `Name string` + + The name of the tool to run. + + - `ServerLabel string` + + The label of the MCP server making the request. + + - `Type McpApprovalRequest` + + The type of the item. Always `mcp_approval_request`. + + - `const McpApprovalRequestMcpApprovalRequest McpApprovalRequest = "mcp_approval_request"` + + - `type ResponseInputItemMcpApprovalResponse struct{…}` + + A response to an MCP approval request. + + - `ApprovalRequestID string` + + The ID of the approval request being answered. + + - `Approve bool` + + Whether the request was approved. + + - `Type McpApprovalResponse` + + The type of the item. Always `mcp_approval_response`. + + - `const McpApprovalResponseMcpApprovalResponse McpApprovalResponse = "mcp_approval_response"` + + - `ID string` + + The unique ID of the approval response + + - `Reason string` + + Optional reason for the decision. + + - `type ResponseInputItemMcpCall struct{…}` + + An invocation of a tool on an MCP server. + + - `ID string` + + The unique ID of the tool call. + + - `Arguments string` + + A JSON string of the arguments passed to the tool. + + - `Name string` + + The name of the tool that was run. + + - `ServerLabel string` + + The label of the MCP server running the tool. + + - `Type McpCall` + + The type of the item. Always `mcp_call`. + + - `const McpCallMcpCall McpCall = "mcp_call"` + + - `ApprovalRequestID string` + + 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 string` + + The error from the tool call, if any. + + - `Output string` + + The output from the tool call. + + - `Status string` + + The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. + + - `const ResponseInputItemMcpCallStatusInProgress ResponseInputItemMcpCallStatus = "in_progress"` + + - `const ResponseInputItemMcpCallStatusCompleted ResponseInputItemMcpCallStatus = "completed"` + + - `const ResponseInputItemMcpCallStatusIncomplete ResponseInputItemMcpCallStatus = "incomplete"` + + - `const ResponseInputItemMcpCallStatusCalling ResponseInputItemMcpCallStatus = "calling"` + + - `const ResponseInputItemMcpCallStatusFailed ResponseInputItemMcpCallStatus = "failed"` + + - `type ResponseCustomToolCallOutput struct{…}` + + The output of a custom tool call from your code, being sent back to the model. + + - `CallID string` + + The call ID, used to map this custom tool call output to a custom tool call. + + - `Output ResponseCustomToolCallOutputOutputUnion` + + The output from the custom tool call generated by your code. + Can be a string or an list of output content. + + - `string` + + - `type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnion` + + Text, image, or file output of the custom tool call. + + - `type ResponseInputText struct{…}` + + A text input to the model. + + - `type ResponseInputImage struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `type ResponseInputFile struct{…}` + + A file input to the model. + + - `Type CustomToolCallOutput` + + The type of the custom tool call output. Always `custom_tool_call_output`. + + - `const CustomToolCallOutputCustomToolCallOutput CustomToolCallOutput = "custom_tool_call_output"` + + - `ID string` + + The unique ID of the custom tool call output in the OpenAI platform. + + - `type ResponseCustomToolCall struct{…}` + + A call to a custom tool created by the model. + + - `CallID string` + + An identifier used to map this custom tool call to a tool call output. + + - `Input string` + + The input for the custom tool call generated by the model. + + - `Name string` + + The name of the custom tool being called. + + - `Type CustomToolCall` + + The type of the custom tool call. Always `custom_tool_call`. + + - `const CustomToolCallCustomToolCall CustomToolCall = "custom_tool_call"` + + - `ID string` + + The unique ID of the custom tool call in the OpenAI platform. + + - `Namespace string` + + The namespace of the custom tool being called. + + - `type ResponseInputItemCompactionTrigger struct{…}` + + Compacts the current context. Must be the final input item. + + - `Type CompactionTrigger` + + The type of the item. Always `compaction_trigger`. + + - `const CompactionTriggerCompactionTrigger CompactionTrigger = "compaction_trigger"` + + - `type ResponseInputItemItemReference struct{…}` + + An internal identifier for an item to reference. + + - `ID string` + + The ID of the item to reference. + + - `Type string` + + The type of item to reference. Always `item_reference`. + + - `const ResponseInputItemItemReferenceTypeItemReference ResponseInputItemItemReferenceType = "item_reference"` + + - `Metadata 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. + + - `string` + + - `type ChatModel string` + + - `const ChatModelGPT5_4 ChatModel = "gpt-5.4"` + + - `const ChatModelGPT5_4Mini ChatModel = "gpt-5.4-mini"` + + - `const ChatModelGPT5_4Nano ChatModel = "gpt-5.4-nano"` + + - `const ChatModelGPT5_4Mini2026_03_17 ChatModel = "gpt-5.4-mini-2026-03-17"` + + - `const ChatModelGPT5_4Nano2026_03_17 ChatModel = "gpt-5.4-nano-2026-03-17"` + + - `const ChatModelGPT5_3ChatLatest ChatModel = "gpt-5.3-chat-latest"` + + - `const ChatModelGPT5_2 ChatModel = "gpt-5.2"` + + - `const ChatModelGPT5_2_2025_12_11 ChatModel = "gpt-5.2-2025-12-11"` + + - `const ChatModelGPT5_2ChatLatest ChatModel = "gpt-5.2-chat-latest"` + + - `const ChatModelGPT5_2Pro ChatModel = "gpt-5.2-pro"` + + - `const ChatModelGPT5_2Pro2025_12_11 ChatModel = "gpt-5.2-pro-2025-12-11"` + + - `const ChatModelGPT5_1 ChatModel = "gpt-5.1"` + + - `const ChatModelGPT5_1_2025_11_13 ChatModel = "gpt-5.1-2025-11-13"` + + - `const ChatModelGPT5_1Codex ChatModel = "gpt-5.1-codex"` + + - `const ChatModelGPT5_1Mini ChatModel = "gpt-5.1-mini"` + + - `const ChatModelGPT5_1ChatLatest ChatModel = "gpt-5.1-chat-latest"` + + - `const ChatModelGPT5 ChatModel = "gpt-5"` + + - `const ChatModelGPT5Mini ChatModel = "gpt-5-mini"` + + - `const ChatModelGPT5Nano ChatModel = "gpt-5-nano"` + + - `const ChatModelGPT5_2025_08_07 ChatModel = "gpt-5-2025-08-07"` + + - `const ChatModelGPT5Mini2025_08_07 ChatModel = "gpt-5-mini-2025-08-07"` + + - `const ChatModelGPT5Nano2025_08_07 ChatModel = "gpt-5-nano-2025-08-07"` + + - `const ChatModelGPT5ChatLatest ChatModel = "gpt-5-chat-latest"` + + - `const ChatModelGPT4_1 ChatModel = "gpt-4.1"` + + - `const ChatModelGPT4_1Mini ChatModel = "gpt-4.1-mini"` + + - `const ChatModelGPT4_1Nano ChatModel = "gpt-4.1-nano"` + + - `const ChatModelGPT4_1_2025_04_14 ChatModel = "gpt-4.1-2025-04-14"` + + - `const ChatModelGPT4_1Mini2025_04_14 ChatModel = "gpt-4.1-mini-2025-04-14"` + + - `const ChatModelGPT4_1Nano2025_04_14 ChatModel = "gpt-4.1-nano-2025-04-14"` + + - `const ChatModelO4Mini ChatModel = "o4-mini"` + + - `const ChatModelO4Mini2025_04_16 ChatModel = "o4-mini-2025-04-16"` + + - `const ChatModelO3 ChatModel = "o3"` + + - `const ChatModelO3_2025_04_16 ChatModel = "o3-2025-04-16"` + + - `const ChatModelO3Mini ChatModel = "o3-mini"` + + - `const ChatModelO3Mini2025_01_31 ChatModel = "o3-mini-2025-01-31"` + + - `const ChatModelO1 ChatModel = "o1"` + + - `const ChatModelO1_2024_12_17 ChatModel = "o1-2024-12-17"` + + - `const ChatModelO1Preview ChatModel = "o1-preview"` + + - `const ChatModelO1Preview2024_09_12 ChatModel = "o1-preview-2024-09-12"` + + - `const ChatModelO1Mini ChatModel = "o1-mini"` + + - `const ChatModelO1Mini2024_09_12 ChatModel = "o1-mini-2024-09-12"` + + - `const ChatModelGPT4o ChatModel = "gpt-4o"` + + - `const ChatModelGPT4o2024_11_20 ChatModel = "gpt-4o-2024-11-20"` + + - `const ChatModelGPT4o2024_08_06 ChatModel = "gpt-4o-2024-08-06"` + + - `const ChatModelGPT4o2024_05_13 ChatModel = "gpt-4o-2024-05-13"` + + - `const ChatModelGPT4oAudioPreview ChatModel = "gpt-4o-audio-preview"` + + - `const ChatModelGPT4oAudioPreview2024_10_01 ChatModel = "gpt-4o-audio-preview-2024-10-01"` + + - `const ChatModelGPT4oAudioPreview2024_12_17 ChatModel = "gpt-4o-audio-preview-2024-12-17"` + + - `const ChatModelGPT4oAudioPreview2025_06_03 ChatModel = "gpt-4o-audio-preview-2025-06-03"` + + - `const ChatModelGPT4oMiniAudioPreview ChatModel = "gpt-4o-mini-audio-preview"` + + - `const ChatModelGPT4oMiniAudioPreview2024_12_17 ChatModel = "gpt-4o-mini-audio-preview-2024-12-17"` + + - `const ChatModelGPT4oSearchPreview ChatModel = "gpt-4o-search-preview"` + + - `const ChatModelGPT4oMiniSearchPreview ChatModel = "gpt-4o-mini-search-preview"` + + - `const ChatModelGPT4oSearchPreview2025_03_11 ChatModel = "gpt-4o-search-preview-2025-03-11"` + + - `const ChatModelGPT4oMiniSearchPreview2025_03_11 ChatModel = "gpt-4o-mini-search-preview-2025-03-11"` + + - `const ChatModelChatgpt4oLatest ChatModel = "chatgpt-4o-latest"` + + - `const ChatModelCodexMiniLatest ChatModel = "codex-mini-latest"` + + - `const ChatModelGPT4oMini ChatModel = "gpt-4o-mini"` + + - `const ChatModelGPT4oMini2024_07_18 ChatModel = "gpt-4o-mini-2024-07-18"` + + - `const ChatModelGPT4Turbo ChatModel = "gpt-4-turbo"` + + - `const ChatModelGPT4Turbo2024_04_09 ChatModel = "gpt-4-turbo-2024-04-09"` + + - `const ChatModelGPT4_0125Preview ChatModel = "gpt-4-0125-preview"` + + - `const ChatModelGPT4TurboPreview ChatModel = "gpt-4-turbo-preview"` + + - `const ChatModelGPT4_1106Preview ChatModel = "gpt-4-1106-preview"` + + - `const ChatModelGPT4VisionPreview ChatModel = "gpt-4-vision-preview"` + + - `const ChatModelGPT4 ChatModel = "gpt-4"` + + - `const ChatModelGPT4_0314 ChatModel = "gpt-4-0314"` + + - `const ChatModelGPT4_0613 ChatModel = "gpt-4-0613"` + + - `const ChatModelGPT4_32k ChatModel = "gpt-4-32k"` + + - `const ChatModelGPT4_32k0314 ChatModel = "gpt-4-32k-0314"` + + - `const ChatModelGPT4_32k0613 ChatModel = "gpt-4-32k-0613"` + + - `const ChatModelGPT3_5Turbo ChatModel = "gpt-3.5-turbo"` + + - `const ChatModelGPT3_5Turbo16k ChatModel = "gpt-3.5-turbo-16k"` + + - `const ChatModelGPT3_5Turbo0301 ChatModel = "gpt-3.5-turbo-0301"` + + - `const ChatModelGPT3_5Turbo0613 ChatModel = "gpt-3.5-turbo-0613"` + + - `const ChatModelGPT3_5Turbo1106 ChatModel = "gpt-3.5-turbo-1106"` + + - `const ChatModelGPT3_5Turbo0125 ChatModel = "gpt-3.5-turbo-0125"` + + - `const ChatModelGPT3_5Turbo16k0613 ChatModel = "gpt-3.5-turbo-16k-0613"` + + - `type ResponsesModel string` + + - `const ResponsesModelO1Pro ResponsesModel = "o1-pro"` + + - `const ResponsesModelO1Pro2025_03_19 ResponsesModel = "o1-pro-2025-03-19"` + + - `const ResponsesModelO3Pro ResponsesModel = "o3-pro"` + + - `const ResponsesModelO3Pro2025_06_10 ResponsesModel = "o3-pro-2025-06-10"` + + - `const ResponsesModelO3DeepResearch ResponsesModel = "o3-deep-research"` + + - `const ResponsesModelO3DeepResearch2025_06_26 ResponsesModel = "o3-deep-research-2025-06-26"` + + - `const ResponsesModelO4MiniDeepResearch ResponsesModel = "o4-mini-deep-research"` + + - `const ResponsesModelO4MiniDeepResearch2025_06_26 ResponsesModel = "o4-mini-deep-research-2025-06-26"` + + - `const ResponsesModelComputerUsePreview ResponsesModel = "computer-use-preview"` + + - `const ResponsesModelComputerUsePreview2025_03_11 ResponsesModel = "computer-use-preview-2025-03-11"` + + - `const ResponsesModelGPT5Codex ResponsesModel = "gpt-5-codex"` + + - `const ResponsesModelGPT5Pro ResponsesModel = "gpt-5-pro"` + + - `const ResponsesModelGPT5Pro2025_10_06 ResponsesModel = "gpt-5-pro-2025-10-06"` + + - `const ResponsesModelGPT5_1CodexMax ResponsesModel = "gpt-5.1-codex-max"` + + - `Object Response` + + The object type of this resource - always set to `response`. + + - `const ResponseResponse Response = "response"` + + - `Output []ResponseOutputItemUnion` + + 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. + + - `type ResponseOutputMessage struct{…}` + + An output message from the model. + + - `type ResponseFileSearchToolCall struct{…}` + + 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. + + - `type ResponseFunctionToolCall struct{…}` + + A tool call to run a function. See the + [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. + + - `type ResponseFunctionToolCallOutputItem struct{…}` + + - `ID string` + + The unique ID of the function call tool output. + + - `CallID string` + + The unique ID of the function tool call generated by the model. + + - `Output ResponseFunctionToolCallOutputItemOutputUnion` + + The output from the function call generated by your code. + Can be a string or an list of output content. + + - `string` + + - `type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnion` + + Text, image, or file output of the function call. + + - `type ResponseInputText struct{…}` + + A text input to the model. + + - `type ResponseInputImage struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `type ResponseInputFile struct{…}` + + A file input to the model. + + - `Status ResponseFunctionToolCallOutputItemStatus` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseFunctionToolCallOutputItemStatusInProgress ResponseFunctionToolCallOutputItemStatus = "in_progress"` + + - `const ResponseFunctionToolCallOutputItemStatusCompleted ResponseFunctionToolCallOutputItemStatus = "completed"` + + - `const ResponseFunctionToolCallOutputItemStatusIncomplete ResponseFunctionToolCallOutputItemStatus = "incomplete"` + + - `Type FunctionCallOutput` + + The type of the function tool call output. Always `function_call_output`. + + - `const FunctionCallOutputFunctionCallOutput FunctionCallOutput = "function_call_output"` + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `type ResponseFunctionWebSearch struct{…}` + + 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. + + - `type ResponseComputerToolCall struct{…}` + + 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. + + - `type ResponseComputerToolCallOutputItem struct{…}` + + - `ID string` + + The unique ID of the computer call tool output. + + - `CallID string` + + The ID of the computer tool call that produced the output. + + - `Output ResponseComputerToolCallOutputScreenshot` + + A computer screenshot image used with the computer use tool. + + - `Status ResponseComputerToolCallOutputItemStatus` + + The status of the message input. One of `in_progress`, `completed`, or + `incomplete`. Populated when input items are returned via API. + + - `const ResponseComputerToolCallOutputItemStatusCompleted ResponseComputerToolCallOutputItemStatus = "completed"` + + - `const ResponseComputerToolCallOutputItemStatusIncomplete ResponseComputerToolCallOutputItemStatus = "incomplete"` + + - `const ResponseComputerToolCallOutputItemStatusFailed ResponseComputerToolCallOutputItemStatus = "failed"` + + - `const ResponseComputerToolCallOutputItemStatusInProgress ResponseComputerToolCallOutputItemStatus = "in_progress"` + + - `Type ComputerCallOutput` + + The type of the computer tool call output. Always `computer_call_output`. + + - `const ComputerCallOutputComputerCallOutput ComputerCallOutput = "computer_call_output"` + + - `AcknowledgedSafetyChecks []ResponseComputerToolCallOutputItemAcknowledgedSafetyCheck` + + The safety checks reported by the API that have been acknowledged by the + developer. + + - `ID string` + + The ID of the pending safety check. + + - `Code string` + + The type of the pending safety check. + + - `Message string` + + Details about the pending safety check. + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `type ResponseReasoningItem struct{…}` + + 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). + + - `type ResponseToolSearchCall struct{…}` + + - `ID string` + + The unique ID of the tool search call item. + + - `Arguments any` + + Arguments used for the tool search call. + + - `CallID string` + + The unique ID of the tool search call generated by the model. + + - `Execution ResponseToolSearchCallExecution` + + Whether tool search was executed by the server or by the client. + + - `const ResponseToolSearchCallExecutionServer ResponseToolSearchCallExecution = "server"` + + - `const ResponseToolSearchCallExecutionClient ResponseToolSearchCallExecution = "client"` + + - `Status ResponseToolSearchCallStatus` + + The status of the tool search call item that was recorded. + + - `const ResponseToolSearchCallStatusInProgress ResponseToolSearchCallStatus = "in_progress"` + + - `const ResponseToolSearchCallStatusCompleted ResponseToolSearchCallStatus = "completed"` + + - `const ResponseToolSearchCallStatusIncomplete ResponseToolSearchCallStatus = "incomplete"` + + - `Type ToolSearchCall` + + The type of the item. Always `tool_search_call`. + + - `const ToolSearchCallToolSearchCall ToolSearchCall = "tool_search_call"` + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `type ResponseToolSearchOutputItem struct{…}` + + - `ID string` + + The unique ID of the tool search output item. + + - `CallID string` + + The unique ID of the tool search call generated by the model. + + - `Execution ResponseToolSearchOutputItemExecution` + + Whether tool search was executed by the server or by the client. + + - `const ResponseToolSearchOutputItemExecutionServer ResponseToolSearchOutputItemExecution = "server"` + + - `const ResponseToolSearchOutputItemExecutionClient ResponseToolSearchOutputItemExecution = "client"` + + - `Status ResponseToolSearchOutputItemStatus` + + The status of the tool search output item that was recorded. + + - `const ResponseToolSearchOutputItemStatusInProgress ResponseToolSearchOutputItemStatus = "in_progress"` + + - `const ResponseToolSearchOutputItemStatusCompleted ResponseToolSearchOutputItemStatus = "completed"` + + - `const ResponseToolSearchOutputItemStatusIncomplete ResponseToolSearchOutputItemStatus = "incomplete"` + + - `Tools []ToolUnion` + + The loaded tool definitions returned by tool search. + + - `type FunctionTool struct{…}` + + 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). + + - `type FileSearchTool struct{…}` + + 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 ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type WebSearchTool struct{…}` + + 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 ToolMcp struct{…}` + + 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). + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `type CustomTool struct{…}` + + 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 NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `type WebSearchPreviewTool struct{…}` + + 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 ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `Type ToolSearchOutput` + + The type of the item. Always `tool_search_output`. + + - `const ToolSearchOutputToolSearchOutput ToolSearchOutput = "tool_search_output"` + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `type ResponseOutputItemAdditionalTools struct{…}` + + - `ID string` + + The unique ID of the additional tools item. + + - `Role string` + + The role that provided the additional tools. + + - `const ResponseOutputItemAdditionalToolsRoleUnknown ResponseOutputItemAdditionalToolsRole = "unknown"` + + - `const ResponseOutputItemAdditionalToolsRoleUser ResponseOutputItemAdditionalToolsRole = "user"` + + - `const ResponseOutputItemAdditionalToolsRoleAssistant ResponseOutputItemAdditionalToolsRole = "assistant"` + + - `const ResponseOutputItemAdditionalToolsRoleSystem ResponseOutputItemAdditionalToolsRole = "system"` + + - `const ResponseOutputItemAdditionalToolsRoleCritic ResponseOutputItemAdditionalToolsRole = "critic"` + + - `const ResponseOutputItemAdditionalToolsRoleDiscriminator ResponseOutputItemAdditionalToolsRole = "discriminator"` + + - `const ResponseOutputItemAdditionalToolsRoleDeveloper ResponseOutputItemAdditionalToolsRole = "developer"` + + - `const ResponseOutputItemAdditionalToolsRoleTool ResponseOutputItemAdditionalToolsRole = "tool"` + + - `Tools []ToolUnion` + + The additional tool definitions made available at this item. + + - `type FunctionTool struct{…}` + + 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). + + - `type FileSearchTool struct{…}` + + 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 ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type WebSearchTool struct{…}` + + 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 ToolMcp struct{…}` + + 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). + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `type CustomTool struct{…}` + + 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 NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `type WebSearchPreviewTool struct{…}` + + 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 ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `Type AdditionalTools` + + The type of the item. Always `additional_tools`. + + - `const AdditionalToolsAdditionalTools AdditionalTools = "additional_tools"` + + - `type ResponseCompactionItem struct{…}` + + A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). + + - `ID string` + + The unique ID of the compaction item. + + - `EncryptedContent string` + + The encrypted content that was produced by compaction. + + - `Type Compaction` + + The type of the item. Always `compaction`. + + - `const CompactionCompaction Compaction = "compaction"` + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `type ResponseOutputItemImageGenerationCall struct{…}` + + An image generation request made by the model. + + - `ID string` + + The unique ID of the image generation call. + + - `Result string` + + The generated image encoded in base64. + + - `Status string` + + The status of the image generation call. + + - `const ResponseOutputItemImageGenerationCallStatusInProgress ResponseOutputItemImageGenerationCallStatus = "in_progress"` + + - `const ResponseOutputItemImageGenerationCallStatusCompleted ResponseOutputItemImageGenerationCallStatus = "completed"` + + - `const ResponseOutputItemImageGenerationCallStatusGenerating ResponseOutputItemImageGenerationCallStatus = "generating"` + + - `const ResponseOutputItemImageGenerationCallStatusFailed ResponseOutputItemImageGenerationCallStatus = "failed"` + + - `Type ImageGenerationCall` + + The type of the image generation call. Always `image_generation_call`. + + - `const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"` + + - `type ResponseCodeInterpreterToolCall struct{…}` + + A tool call to run code. + + - `type ResponseOutputItemLocalShellCall struct{…}` + + A tool call to run a command on the local shell. + + - `ID string` + + The unique ID of the local shell call. + + - `Action ResponseOutputItemLocalShellCallAction` + + Execute a shell command on the server. + + - `Command []string` + + The command to run. + + - `Env map[string, string]` + + Environment variables to set for the command. + + - `Type Exec` + + The type of the local shell action. Always `exec`. + + - `const ExecExec Exec = "exec"` + + - `TimeoutMs int64` + + Optional timeout in milliseconds for the command. + + - `User string` + + Optional user to run the command as. + + - `WorkingDirectory string` + + Optional working directory to run the command in. + + - `CallID string` + + The unique ID of the local shell tool call generated by the model. + + - `Status string` + + The status of the local shell call. + + - `const ResponseOutputItemLocalShellCallStatusInProgress ResponseOutputItemLocalShellCallStatus = "in_progress"` + + - `const ResponseOutputItemLocalShellCallStatusCompleted ResponseOutputItemLocalShellCallStatus = "completed"` + + - `const ResponseOutputItemLocalShellCallStatusIncomplete ResponseOutputItemLocalShellCallStatus = "incomplete"` + + - `Type LocalShellCall` + + The type of the local shell call. Always `local_shell_call`. + + - `const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"` + + - `type ResponseOutputItemLocalShellCallOutput struct{…}` + + The output of a local shell tool call. + + - `ID string` + + The unique ID of the local shell tool call generated by the model. + + - `Output string` + + A JSON string of the output of the local shell tool call. + + - `Type LocalShellCallOutput` + + The type of the local shell tool call output. Always `local_shell_call_output`. + + - `const LocalShellCallOutputLocalShellCallOutput LocalShellCallOutput = "local_shell_call_output"` + + - `Status string` + + The status of the item. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseOutputItemLocalShellCallOutputStatusInProgress ResponseOutputItemLocalShellCallOutputStatus = "in_progress"` + + - `const ResponseOutputItemLocalShellCallOutputStatusCompleted ResponseOutputItemLocalShellCallOutputStatus = "completed"` + + - `const ResponseOutputItemLocalShellCallOutputStatusIncomplete ResponseOutputItemLocalShellCallOutputStatus = "incomplete"` + + - `type ResponseFunctionShellToolCall struct{…}` + + A tool call that executes one or more shell commands in a managed environment. + + - `ID string` + + The unique ID of the shell tool call. Populated when this item is returned via API. + + - `Action ResponseFunctionShellToolCallAction` + + The shell commands and limits that describe how to run the tool call. + + - `Commands []string` + + - `MaxOutputLength int64` + + Optional maximum number of characters to return from each command. + + - `TimeoutMs int64` + + Optional timeout in milliseconds for the commands. + + - `CallID string` + + The unique ID of the shell tool call generated by the model. + + - `Environment ResponseFunctionShellToolCallEnvironmentUnion` + + Represents the use of a local environment to perform shell actions. + + - `type ResponseLocalEnvironment struct{…}` + + Represents the use of a local environment to perform shell actions. + + - `Type Local` + + The environment type. Always `local`. + + - `const LocalLocal Local = "local"` + + - `type ResponseContainerReference struct{…}` + + Represents a container created with /v1/containers. + + - `ContainerID string` + + - `Type ContainerReference` + + The environment type. Always `container_reference`. + + - `const ContainerReferenceContainerReference ContainerReference = "container_reference"` + + - `Status ResponseFunctionShellToolCallStatus` + + The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseFunctionShellToolCallStatusInProgress ResponseFunctionShellToolCallStatus = "in_progress"` + + - `const ResponseFunctionShellToolCallStatusCompleted ResponseFunctionShellToolCallStatus = "completed"` + + - `const ResponseFunctionShellToolCallStatusIncomplete ResponseFunctionShellToolCallStatus = "incomplete"` + + - `Type ShellCall` + + The type of the item. Always `shell_call`. + + - `const ShellCallShellCall ShellCall = "shell_call"` + + - `CreatedBy string` + + The ID of the entity that created this tool call. + + - `type ResponseFunctionShellToolCallOutput struct{…}` + + The output of a shell tool call that was emitted. + + - `ID string` + + The unique ID of the shell call output. Populated when this item is returned via API. + + - `CallID string` + + The unique ID of the shell tool call generated by the model. + + - `MaxOutputLength int64` + + The maximum length of the shell command output. This is generated by the model and should be passed back with the raw output. + + - `Output []ResponseFunctionShellToolCallOutputOutput` + + An array of shell call output contents + + - `Outcome ResponseFunctionShellToolCallOutputOutputOutcomeUnion` + + Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk. + + - `type ResponseFunctionShellToolCallOutputOutputOutcomeTimeout struct{…}` + + Indicates that the shell call exceeded its configured time limit. + + - `Type Timeout` + + The outcome type. Always `timeout`. + + - `const TimeoutTimeout Timeout = "timeout"` + + - `type ResponseFunctionShellToolCallOutputOutputOutcomeExit struct{…}` + + Indicates that the shell commands finished and returned an exit code. + + - `ExitCode int64` + + Exit code from the shell process. + + - `Type Exit` + + The outcome type. Always `exit`. + + - `const ExitExit Exit = "exit"` + + - `Stderr string` + + The standard error output that was captured. + + - `Stdout string` + + The standard output that was captured. + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `Status ResponseFunctionShellToolCallOutputStatus` + + The status of the shell call output. One of `in_progress`, `completed`, or `incomplete`. + + - `const ResponseFunctionShellToolCallOutputStatusInProgress ResponseFunctionShellToolCallOutputStatus = "in_progress"` + + - `const ResponseFunctionShellToolCallOutputStatusCompleted ResponseFunctionShellToolCallOutputStatus = "completed"` + + - `const ResponseFunctionShellToolCallOutputStatusIncomplete ResponseFunctionShellToolCallOutputStatus = "incomplete"` + + - `Type ShellCallOutput` + + The type of the shell call output. Always `shell_call_output`. + + - `const ShellCallOutputShellCallOutput ShellCallOutput = "shell_call_output"` + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `type ResponseApplyPatchToolCall struct{…}` + + A tool call that applies file diffs by creating, deleting, or updating files. + + - `ID string` + + The unique ID of the apply patch tool call. Populated when this item is returned via API. + + - `CallID string` + + The unique ID of the apply patch tool call generated by the model. + + - `Operation ResponseApplyPatchToolCallOperationUnion` + + One of the create_file, delete_file, or update_file operations applied via apply_patch. + + - `type ResponseApplyPatchToolCallOperationCreateFile struct{…}` + + Instruction describing how to create a file via the apply_patch tool. + + - `Diff string` + + Diff to apply. + + - `Path string` + + Path of the file to create. + + - `Type CreateFile` + + Create a new file with the provided diff. + + - `const CreateFileCreateFile CreateFile = "create_file"` + + - `type ResponseApplyPatchToolCallOperationDeleteFile struct{…}` + + Instruction describing how to delete a file via the apply_patch tool. + + - `Path string` + + Path of the file to delete. + + - `Type DeleteFile` + + Delete the specified file. + + - `const DeleteFileDeleteFile DeleteFile = "delete_file"` + + - `type ResponseApplyPatchToolCallOperationUpdateFile struct{…}` + + Instruction describing how to update a file via the apply_patch tool. + + - `Diff string` + + Diff to apply. + + - `Path string` + + Path of the file to update. + + - `Type UpdateFile` + + Update an existing file with the provided diff. + + - `const UpdateFileUpdateFile UpdateFile = "update_file"` + + - `Status ResponseApplyPatchToolCallStatus` + + The status of the apply patch tool call. One of `in_progress` or `completed`. + + - `const ResponseApplyPatchToolCallStatusInProgress ResponseApplyPatchToolCallStatus = "in_progress"` + + - `const ResponseApplyPatchToolCallStatusCompleted ResponseApplyPatchToolCallStatus = "completed"` + + - `Type ApplyPatchCall` + + The type of the item. Always `apply_patch_call`. + + - `const ApplyPatchCallApplyPatchCall ApplyPatchCall = "apply_patch_call"` + + - `CreatedBy string` + + The ID of the entity that created this tool call. + + - `type ResponseApplyPatchToolCallOutput struct{…}` + + The output emitted by an apply patch tool call. + + - `ID string` + + The unique ID of the apply patch tool call output. Populated when this item is returned via API. + + - `CallID string` + + The unique ID of the apply patch tool call generated by the model. + + - `Status ResponseApplyPatchToolCallOutputStatus` + + The status of the apply patch tool call output. One of `completed` or `failed`. + + - `const ResponseApplyPatchToolCallOutputStatusCompleted ResponseApplyPatchToolCallOutputStatus = "completed"` + + - `const ResponseApplyPatchToolCallOutputStatusFailed ResponseApplyPatchToolCallOutputStatus = "failed"` + + - `Type ApplyPatchCallOutput` + + The type of the item. Always `apply_patch_call_output`. + + - `const ApplyPatchCallOutputApplyPatchCallOutput ApplyPatchCallOutput = "apply_patch_call_output"` + + - `CreatedBy string` + + The ID of the entity that created this tool call output. + + - `Output string` + + Optional textual output returned by the apply patch tool. + + - `type ResponseOutputItemMcpCall struct{…}` + + An invocation of a tool on an MCP server. + + - `ID string` + + The unique ID of the tool call. + + - `Arguments string` + + A JSON string of the arguments passed to the tool. + + - `Name string` + + The name of the tool that was run. + + - `ServerLabel string` + + The label of the MCP server running the tool. + + - `Type McpCall` + + The type of the item. Always `mcp_call`. + + - `const McpCallMcpCall McpCall = "mcp_call"` + + - `ApprovalRequestID string` + + 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 string` + + The error from the tool call, if any. + + - `Output string` + + The output from the tool call. + + - `Status string` + + The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. + + - `const ResponseOutputItemMcpCallStatusInProgress ResponseOutputItemMcpCallStatus = "in_progress"` + + - `const ResponseOutputItemMcpCallStatusCompleted ResponseOutputItemMcpCallStatus = "completed"` + + - `const ResponseOutputItemMcpCallStatusIncomplete ResponseOutputItemMcpCallStatus = "incomplete"` + + - `const ResponseOutputItemMcpCallStatusCalling ResponseOutputItemMcpCallStatus = "calling"` + + - `const ResponseOutputItemMcpCallStatusFailed ResponseOutputItemMcpCallStatus = "failed"` + + - `type ResponseOutputItemMcpListTools struct{…}` + + A list of tools available on an MCP server. + + - `ID string` + + The unique ID of the list. + + - `ServerLabel string` + + The label of the MCP server. + + - `Tools []ResponseOutputItemMcpListToolsTool` + + The tools available on the server. + + - `InputSchema any` + + The JSON schema describing the tool's input. + + - `Name string` + + The name of the tool. + + - `Annotations any` + + Additional annotations about the tool. + + - `Description string` + + The description of the tool. + + - `Type McpListTools` + + The type of the item. Always `mcp_list_tools`. + + - `const McpListToolsMcpListTools McpListTools = "mcp_list_tools"` + + - `Error string` + + Error message if the server could not list tools. + + - `type ResponseOutputItemMcpApprovalRequest struct{…}` + + A request for human approval of a tool invocation. + + - `ID string` + + The unique ID of the approval request. + + - `Arguments string` + + A JSON string of arguments for the tool. + + - `Name string` + + The name of the tool to run. + + - `ServerLabel string` + + The label of the MCP server making the request. + + - `Type McpApprovalRequest` + + The type of the item. Always `mcp_approval_request`. + + - `const McpApprovalRequestMcpApprovalRequest McpApprovalRequest = "mcp_approval_request"` + + - `type ResponseOutputItemMcpApprovalResponse struct{…}` + + A response to an MCP approval request. + + - `ID string` + + The unique ID of the approval response + + - `ApprovalRequestID string` + + The ID of the approval request being answered. + + - `Approve bool` + + Whether the request was approved. + + - `Type McpApprovalResponse` + + The type of the item. Always `mcp_approval_response`. + + - `const McpApprovalResponseMcpApprovalResponse McpApprovalResponse = "mcp_approval_response"` + + - `Reason string` + + Optional reason for the decision. + + - `type ResponseCustomToolCall struct{…}` + + A call to a custom tool created by the model. + + - `type ResponseCustomToolCallOutputItem struct{…}` + + The output of a custom tool call from your code, being sent back to the model. + + - `ID string` + + The unique ID of the custom tool call output item. + + - `Status string` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `const ResponseCustomToolCallOutputItemStatusInProgress ResponseCustomToolCallOutputItemStatus = "in_progress"` + + - `const ResponseCustomToolCallOutputItemStatusCompleted ResponseCustomToolCallOutputItemStatus = "completed"` + + - `const ResponseCustomToolCallOutputItemStatusIncomplete ResponseCustomToolCallOutputItemStatus = "incomplete"` + + - `CreatedBy string` + + The identifier of the actor that created the item. + + - `ParallelToolCalls bool` + + Whether to allow the model to run tool calls in parallel. + + - `Temperature float64` + + 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. + + - `ToolChoice ResponseToolChoiceUnion` + + 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. + + - `type ToolChoiceOptions string` + + Controls which (if any) tool is called by the model. + + `none` means the model will not call any tool and instead generates a message. + + `auto` means the model can pick between generating a message or calling one or + more tools. + + `required` means the model must call one or more tools. + + - `const ToolChoiceOptionsNone ToolChoiceOptions = "none"` + + - `const ToolChoiceOptionsAuto ToolChoiceOptions = "auto"` + + - `const ToolChoiceOptionsRequired ToolChoiceOptions = "required"` + + - `type ToolChoiceAllowed struct{…}` + + Constrains the tools available to the model to a pre-defined set. + + - `Mode ToolChoiceAllowedMode` + + 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. + + - `const ToolChoiceAllowedModeAuto ToolChoiceAllowedMode = "auto"` + + - `const ToolChoiceAllowedModeRequired ToolChoiceAllowedMode = "required"` + + - `Tools []map[string, any]` + + 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 AllowedTools` + + Allowed tool configuration type. Always `allowed_tools`. + + - `const AllowedToolsAllowedTools AllowedTools = "allowed_tools"` + + - `type ToolChoiceTypes struct{…}` + + 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 ToolChoiceTypesType` + + 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` + + - `const ToolChoiceTypesTypeFileSearch ToolChoiceTypesType = "file_search"` + + - `const ToolChoiceTypesTypeWebSearchPreview ToolChoiceTypesType = "web_search_preview"` + + - `const ToolChoiceTypesTypeComputer ToolChoiceTypesType = "computer"` + + - `const ToolChoiceTypesTypeComputerUsePreview ToolChoiceTypesType = "computer_use_preview"` + + - `const ToolChoiceTypesTypeComputerUse ToolChoiceTypesType = "computer_use"` + + - `const ToolChoiceTypesTypeWebSearchPreview2025_03_11 ToolChoiceTypesType = "web_search_preview_2025_03_11"` + + - `const ToolChoiceTypesTypeImageGeneration ToolChoiceTypesType = "image_generation"` + + - `const ToolChoiceTypesTypeCodeInterpreter ToolChoiceTypesType = "code_interpreter"` + + - `type ToolChoiceFunction struct{…}` + + Use this option to force the model to call a specific function. + + - `Name string` + + The name of the function to call. + + - `Type Function` + + For function calling, the type is always `function`. + + - `const FunctionFunction Function = "function"` + + - `type ToolChoiceMcp struct{…}` + + Use this option to force the model to call a specific tool on a remote MCP server. + + - `ServerLabel string` + + The label of the MCP server to use. + + - `Type Mcp` + + For MCP tools, the type is always `mcp`. + + - `const McpMcp Mcp = "mcp"` + + - `Name string` + + The name of the tool to call on the server. + + - `type ToolChoiceCustom struct{…}` + + Use this option to force the model to call a specific custom tool. + + - `Name string` + + The name of the custom tool to call. + + - `Type Custom` + + For custom tool calling, the type is always `custom`. + + - `const CustomCustom Custom = "custom"` + + - `type ToolChoiceApplyPatch struct{…}` + + Forces the model to call the apply_patch tool when executing a tool call. + + - `Type ApplyPatch` + + The tool to call. Always `apply_patch`. + + - `const ApplyPatchApplyPatch ApplyPatch = "apply_patch"` + + - `type ToolChoiceShell struct{…}` + + Forces the model to call the shell tool when a tool call is required. + + - `Type Shell` + + The tool to call. Always `shell`. + + - `const ShellShell Shell = "shell"` + + - `Tools []ToolUnion` + + 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. + + - `type FunctionTool struct{…}` + + 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). + + - `type FileSearchTool struct{…}` + + 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 ComputerTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type ComputerUsePreviewTool struct{…}` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `type WebSearchTool struct{…}` + + 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 ToolMcp struct{…}` + + 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). + + - `type ToolCodeInterpreter struct{…}` + + A tool that runs Python code to help generate a response to a prompt. + + - `type ToolImageGeneration struct{…}` + + A tool that generates images using the GPT image models. + + - `type ToolLocalShell struct{…}` + + A tool that allows the model to execute shell commands in a local environment. + + - `type FunctionShellTool struct{…}` + + A tool that allows the model to execute shell commands. + + - `type CustomTool struct{…}` + + 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 NamespaceTool struct{…}` + + Groups function/custom tools under a shared namespace. + + - `type ToolSearchTool struct{…}` + + Hosted or BYOT tool search configuration for deferred tools. + + - `type WebSearchPreviewTool struct{…}` + + 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 ApplyPatchTool struct{…}` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `TopP float64` + + 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 bool` + + Whether to run the model response in the background. + [Learn more](https://platform.openai.com/docs/guides/background). + + - `CompletedAt float64` + + Unix timestamp (in seconds) of when this Response was completed. + Only present when the status is `completed`. + + - `Conversation ResponseConversation` + + The conversation that this response belonged to. Input items and output items from this response were automatically added to this conversation. + + - `ID string` + + The unique ID of the conversation that this response was associated with. + + - `MaxOutputTokens int64` + + 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). + + - `MaxToolCalls int64` + + 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. + + - `Moderation ResponseModeration` + + Moderation results for the response input and output, if moderated completions were requested. + + - `Input ResponseModerationInputUnion` + + Moderation for the response input. + + - `type ResponseModerationInputModerationResult struct{…}` + + A moderation result produced for the response input or output. + + - `Categories map[string, bool]` + + A dictionary of moderation categories to booleans, True if the input is flagged under this category. + + - `CategoryAppliedInputTypes map[string, []string]` + + Which modalities of input are reflected by the score for each category. + + - `const ResponseModerationInputModerationResultCategoryAppliedInputTypeText ResponseModerationInputModerationResultCategoryAppliedInputType = "text"` + + - `const ResponseModerationInputModerationResultCategoryAppliedInputTypeImage ResponseModerationInputModerationResultCategoryAppliedInputType = "image"` + + - `CategoryScores map[string, float64]` + + A dictionary of moderation categories to scores. + + - `Flagged bool` + + A boolean indicating whether the content was flagged by any category. + + - `Model string` + + The moderation model that produced this result. + + - `Type ModerationResult` + + The object type, which was always `moderation_result` for successful moderation results. + + - `const ModerationResultModerationResult ModerationResult = "moderation_result"` + + - `type ResponseModerationInputError struct{…}` + + An error produced while attempting moderation for the response input or output. + + - `Code string` + + The error code. + + - `Message string` + + The error message. + + - `Type Error` + + The object type, which was always `error` for moderation failures. + + - `const ErrorError Error = "error"` + + - `Output ResponseModerationOutputUnion` + + Moderation for the response output. + + - `type ResponseModerationOutputModerationResult struct{…}` + + A moderation result produced for the response input or output. + + - `Categories map[string, bool]` + + A dictionary of moderation categories to booleans, True if the input is flagged under this category. + + - `CategoryAppliedInputTypes map[string, []string]` + + Which modalities of input are reflected by the score for each category. + + - `const ResponseModerationOutputModerationResultCategoryAppliedInputTypeText ResponseModerationOutputModerationResultCategoryAppliedInputType = "text"` + + - `const ResponseModerationOutputModerationResultCategoryAppliedInputTypeImage ResponseModerationOutputModerationResultCategoryAppliedInputType = "image"` + + - `CategoryScores map[string, float64]` + + A dictionary of moderation categories to scores. + + - `Flagged bool` + + A boolean indicating whether the content was flagged by any category. + + - `Model string` + + The moderation model that produced this result. + + - `Type ModerationResult` + + The object type, which was always `moderation_result` for successful moderation results. + + - `const ModerationResultModerationResult ModerationResult = "moderation_result"` + + - `type ResponseModerationOutputError struct{…}` + + An error produced while attempting moderation for the response input or output. + + - `Code string` + + The error code. + + - `Message string` + + The error message. + + - `Type Error` + + The object type, which was always `error` for moderation failures. + + - `const ErrorError Error = "error"` + + - `PreviousResponseID string` + + 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 ResponsePrompt` + + Reference to a prompt template and its variables. + [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). + + - `ID string` + + The unique identifier of the prompt template to use. + + - `Variables map[string, ResponsePromptVariableUnion]` + + 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. + + - `string` + + - `type ResponseInputText struct{…}` + + A text input to the model. + + - `type ResponseInputImage struct{…}` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `type ResponseInputFile struct{…}` + + A file input to the model. + + - `Version string` + + Optional version of the prompt template. + + - `PromptCacheKey string` + + 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). + + - `PromptCacheRetention ResponsePromptCacheRetention` + + 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). + For `gpt-5.5`, `gpt-5.5-pro`, and future models, only `24h` is supported. + + For older models that support both `in_memory` and `24h`, the default depends on your organization's data retention policy: + + - Organizations without ZDR enabled default to `24h`. + - Organizations with ZDR enabled default to `in_memory` when `prompt_cache_retention` is not specified. + + - `const ResponsePromptCacheRetentionInMemory ResponsePromptCacheRetention = "in_memory"` + + - `const ResponsePromptCacheRetention24h ResponsePromptCacheRetention = "24h"` + + - `Reasoning Reasoning` + + **gpt-5 and o-series models only** + + Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + + - `Effort 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`. + + - `const ReasoningEffortNone ReasoningEffort = "none"` + + - `const ReasoningEffortMinimal ReasoningEffort = "minimal"` + + - `const ReasoningEffortLow ReasoningEffort = "low"` + + - `const ReasoningEffortMedium ReasoningEffort = "medium"` + + - `const ReasoningEffortHigh ReasoningEffort = "high"` + + - `const ReasoningEffortXhigh ReasoningEffort = "xhigh"` + + - `GenerateSummary ReasoningGenerateSummary` + + **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`. + + - `const ReasoningGenerateSummaryAuto ReasoningGenerateSummary = "auto"` + + - `const ReasoningGenerateSummaryConcise ReasoningGenerateSummary = "concise"` + + - `const ReasoningGenerateSummaryDetailed ReasoningGenerateSummary = "detailed"` + + - `Summary ReasoningSummary` + + 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`. + + - `const ReasoningSummaryAuto ReasoningSummary = "auto"` + + - `const ReasoningSummaryConcise ReasoningSummary = "concise"` + + - `const ReasoningSummaryDetailed ReasoningSummary = "detailed"` + + - `SafetyIdentifier string` + + 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). + + - `ServiceTier ResponseServiceTier` + + 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. + + - `const ResponseServiceTierAuto ResponseServiceTier = "auto"` + + - `const ResponseServiceTierDefault ResponseServiceTier = "default"` + + - `const ResponseServiceTierFlex ResponseServiceTier = "flex"` + + - `const ResponseServiceTierScale ResponseServiceTier = "scale"` + + - `const ResponseServiceTierPriority ResponseServiceTier = "priority"` + + - `Status ResponseStatus` + + The status of the response generation. One of `completed`, `failed`, + `in_progress`, `cancelled`, `queued`, or `incomplete`. + + - `const ResponseStatusCompleted ResponseStatus = "completed"` + + - `const ResponseStatusFailed ResponseStatus = "failed"` + + - `const ResponseStatusInProgress ResponseStatus = "in_progress"` + + - `const ResponseStatusCancelled ResponseStatus = "cancelled"` + + - `const ResponseStatusQueued ResponseStatus = "queued"` + + - `const ResponseStatusIncomplete ResponseStatus = "incomplete"` + + - `Text 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 ResponseFormatTextConfigUnion` + + 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. + + - `type ResponseFormatText struct{…}` + + Default response format. Used to generate text responses. + + - `Type Text` + + The type of response format being defined. Always `text`. + + - `const TextText Text = "text"` + + - `type ResponseFormatTextJSONSchemaConfig struct{…}` + + JSON Schema response format. Used to generate structured JSON responses. + Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). + + - `Name string` + + 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 map[string, any]` + + The schema for the response format, described as a JSON Schema object. + Learn how to build JSON schemas [here](https://json-schema.org/). + + - `Type JSONSchema` + + The type of response format being defined. Always `json_schema`. + + - `const JSONSchemaJSONSchema JSONSchema = "json_schema"` + + - `Description string` + + A description of what the response format is for, used by the model to + determine how to respond in the format. + + - `Strict 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). + + - `type ResponseFormatJSONObject struct{…}` + + 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 JSONObject` + + The type of response format being defined. Always `json_object`. + + - `const JSONObjectJSONObject JSONObject = "json_object"` + + - `Verbosity ResponseTextConfigVerbosity` + + 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`. + + - `const ResponseTextConfigVerbosityLow ResponseTextConfigVerbosity = "low"` + + - `const ResponseTextConfigVerbosityMedium ResponseTextConfigVerbosity = "medium"` + + - `const ResponseTextConfigVerbosityHigh ResponseTextConfigVerbosity = "high"` + + - `TopLogprobs int64` + + 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 ResponseTruncation` + + 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. + + - `const ResponseTruncationAuto ResponseTruncation = "auto"` + + - `const ResponseTruncationDisabled ResponseTruncation = "disabled"` + + - `Usage ResponseUsage` + + Represents token usage details including input tokens, output tokens, + a breakdown of output tokens, and the total tokens used. + + - `InputTokens int64` + + The number of input tokens. + + - `InputTokensDetails ResponseUsageInputTokensDetails` + + A detailed breakdown of the input tokens. + + - `CachedTokens int64` + + The number of tokens that were retrieved from the cache. + [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching). + + - `OutputTokens int64` + + The number of output tokens. + + - `OutputTokensDetails ResponseUsageOutputTokensDetails` + + A detailed breakdown of the output tokens. + + - `ReasoningTokens int64` + + The number of reasoning tokens. + + - `TotalTokens int64` + + The total number of tokens used. + + - `User string` + + 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 + +```go +package main + +import ( + "context" + "fmt" + + "github.com/openai/openai-go" + "github.com/openai/openai-go/option" + "github.com/openai/openai-go/responses" +) + +func main() { + client := openai.NewClient( + option.WithAPIKey("My API Key"), + ) + response, err := client.Responses.New(context.TODO(), responses.ResponseNewParams{ + + }) + if err != nil { + panic(err.Error()) + } + fmt.Printf("%+v\n", response.ID) +} +``` + +#### 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, + "moderation": { + "input": { + "categories": { + "foo": true + }, + "category_applied_input_types": { + "foo": [ + "text" + ] + }, + "category_scores": { + "foo": 0 + }, + "flagged": true, + "model": "model", + "type": "moderation_result" + }, + "output": { + "categories": { + "foo": true + }, + "category_applied_input_types": { + "foo": [ + "text" + ] + }, + "category_scores": { + "foo": 0 + }, + "flagged": true, + "model": "model", + "type": "moderation_result" + } + }, + "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" +} +```