## Cancel a response `client.Beta.Responses.Cancel(ctx, responseID, body) (*BetaResponse, error)` **post** `/responses/{response_id}/cancel?beta=true` Cancels a model response with the given ID. Only responses created with the `background` parameter set to `true` can be cancelled. [Learn more](https://platform.openai.com/docs/guides/background). ### Parameters - `responseID string` - `body BetaResponseCancelParams` - `Betas param.Field[[]string]` Optional beta features to enable for this request. - `const BetaResponseCancelParamsOpenAIBetaResponsesMultiAgentV1 BetaResponseCancelParamsOpenAIBeta = "responses_multi_agent=v1"` ### Returns - `type BetaResponse struct{…}` - `ID string` Unique identifier for this Response. - `CreatedAt float64` Unix timestamp (in seconds) of when this Response was created. - `Error BetaResponseError` An error object returned when the model fails to generate a Response. - `Code BetaResponseErrorCode` The error code for the response. - `const BetaResponseErrorCodeServerError BetaResponseErrorCode = "server_error"` - `const BetaResponseErrorCodeRateLimitExceeded BetaResponseErrorCode = "rate_limit_exceeded"` - `const BetaResponseErrorCodeInvalidPrompt BetaResponseErrorCode = "invalid_prompt"` - `const BetaResponseErrorCodeDataResidencyMismatch BetaResponseErrorCode = "data_residency_mismatch"` - `const BetaResponseErrorCodeBioPolicy BetaResponseErrorCode = "bio_policy"` - `const BetaResponseErrorCodeVectorStoreTimeout BetaResponseErrorCode = "vector_store_timeout"` - `const BetaResponseErrorCodeInvalidImage BetaResponseErrorCode = "invalid_image"` - `const BetaResponseErrorCodeInvalidImageFormat BetaResponseErrorCode = "invalid_image_format"` - `const BetaResponseErrorCodeInvalidBase64Image BetaResponseErrorCode = "invalid_base64_image"` - `const BetaResponseErrorCodeInvalidImageURL BetaResponseErrorCode = "invalid_image_url"` - `const BetaResponseErrorCodeImageTooLarge BetaResponseErrorCode = "image_too_large"` - `const BetaResponseErrorCodeImageTooSmall BetaResponseErrorCode = "image_too_small"` - `const BetaResponseErrorCodeImageParseError BetaResponseErrorCode = "image_parse_error"` - `const BetaResponseErrorCodeImageContentPolicyViolation BetaResponseErrorCode = "image_content_policy_violation"` - `const BetaResponseErrorCodeInvalidImageMode BetaResponseErrorCode = "invalid_image_mode"` - `const BetaResponseErrorCodeImageFileTooLarge BetaResponseErrorCode = "image_file_too_large"` - `const BetaResponseErrorCodeUnsupportedImageMediaType BetaResponseErrorCode = "unsupported_image_media_type"` - `const BetaResponseErrorCodeEmptyImageFile BetaResponseErrorCode = "empty_image_file"` - `const BetaResponseErrorCodeFailedToDownloadImage BetaResponseErrorCode = "failed_to_download_image"` - `const BetaResponseErrorCodeImageFileNotFound BetaResponseErrorCode = "image_file_not_found"` - `Message string` A human-readable description of the error. - `IncompleteDetails BetaResponseIncompleteDetails` Details about why the response is incomplete. - `Reason string` The reason why the response is incomplete. - `const BetaResponseIncompleteDetailsReasonMaxOutputTokens BetaResponseIncompleteDetailsReason = "max_output_tokens"` - `const BetaResponseIncompleteDetailsReasonContentFilter BetaResponseIncompleteDetailsReason = "content_filter"` - `Instructions BetaResponseInstructionsUnion` 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 BetaResponseInstructionsInputItemList []BetaResponseInputItemUnion` A list of one or many input items to the model, containing different content types. - `type BetaEasyInputMessage 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 BetaEasyInputMessageContentUnion` Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses. - `string` - `type BetaResponseInputMessageContentList []BetaResponseInputContentUnion` A list of one or many input items to the model, containing different content types. - `type BetaResponseInputText 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"` - `PromptCacheBreakpoint BetaResponseInputTextPromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `type BetaResponseInputImage struct{…}` An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - `Detail BetaResponseInputImageDetail` The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - `const BetaResponseInputImageDetailLow BetaResponseInputImageDetail = "low"` - `const BetaResponseInputImageDetailHigh BetaResponseInputImageDetail = "high"` - `const BetaResponseInputImageDetailAuto BetaResponseInputImageDetail = "auto"` - `const BetaResponseInputImageDetailOriginal BetaResponseInputImageDetail = "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. - `PromptCacheBreakpoint BetaResponseInputImagePromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `type BetaResponseInputFile struct{…}` A file input to the model. - `Type InputFile` The type of the input item. Always `input_file`. - `const InputFileInputFile InputFile = "input_file"` - `Detail BetaResponseInputFileDetail` The detail level of the file to be sent to the model. Use `auto` to let the system select the detail level; for GPT-5.6 and later models, `auto` uses high-quality rendering, which may increase input token usage. Use `low` for lower-cost rendering, or `high` to render the file at higher quality. Defaults to `auto`. - `const BetaResponseInputFileDetailAuto BetaResponseInputFileDetail = "auto"` - `const BetaResponseInputFileDetailLow BetaResponseInputFileDetail = "low"` - `const BetaResponseInputFileDetailHigh BetaResponseInputFileDetail = "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. - `PromptCacheBreakpoint BetaResponseInputFilePromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `Role BetaEasyInputMessageRole` The role of the message input. One of `user`, `assistant`, `system`, or `developer`. - `const BetaEasyInputMessageRoleUser BetaEasyInputMessageRole = "user"` - `const BetaEasyInputMessageRoleAssistant BetaEasyInputMessageRole = "assistant"` - `const BetaEasyInputMessageRoleSystem BetaEasyInputMessageRole = "system"` - `const BetaEasyInputMessageRoleDeveloper BetaEasyInputMessageRole = "developer"` - `Phase BetaEasyInputMessagePhase` 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 BetaEasyInputMessagePhaseCommentary BetaEasyInputMessagePhase = "commentary"` - `const BetaEasyInputMessagePhaseFinalAnswer BetaEasyInputMessagePhase = "final_answer"` - `Type BetaEasyInputMessageType` The type of the message input. Always `message`. - `const BetaEasyInputMessageTypeMessage BetaEasyInputMessageType = "message"` - `type BetaResponseInputItemMessage 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 BetaResponseInputMessageContentList` 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 BetaResponseInputItemMessageRoleUser BetaResponseInputItemMessageRole = "user"` - `const BetaResponseInputItemMessageRoleSystem BetaResponseInputItemMessageRole = "system"` - `const BetaResponseInputItemMessageRoleDeveloper BetaResponseInputItemMessageRole = "developer"` - `Agent BetaResponseInputItemMessageAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Status string` The status of item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - `const BetaResponseInputItemMessageStatusInProgress BetaResponseInputItemMessageStatus = "in_progress"` - `const BetaResponseInputItemMessageStatusCompleted BetaResponseInputItemMessageStatus = "completed"` - `const BetaResponseInputItemMessageStatusIncomplete BetaResponseInputItemMessageStatus = "incomplete"` - `Type string` The type of the message input. Always set to `message`. - `const BetaResponseInputItemMessageTypeMessage BetaResponseInputItemMessageType = "message"` - `type BetaResponseOutputMessage struct{…}` An output message from the model. - `ID string` The unique ID of the output message. - `Content []BetaResponseOutputMessageContentUnion` The content of the output message. - `type BetaResponseOutputText struct{…}` A text output from the model. - `Annotations []BetaResponseOutputTextAnnotationUnion` The annotations of the text output. - `type BetaResponseOutputTextAnnotationFileCitation 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 BetaResponseOutputTextAnnotationURLCitation 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 BetaResponseOutputTextAnnotationContainerFileCitation 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 BetaResponseOutputTextAnnotationFilePath 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 []BetaResponseOutputTextLogprob` - `Token string` - `Bytes []int64` - `Logprob float64` - `TopLogprobs []BetaResponseOutputTextLogprobTopLogprob` - `Token string` - `Bytes []int64` - `Logprob float64` - `type BetaResponseOutputRefusal 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 BetaResponseOutputMessageStatus` The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. - `const BetaResponseOutputMessageStatusInProgress BetaResponseOutputMessageStatus = "in_progress"` - `const BetaResponseOutputMessageStatusCompleted BetaResponseOutputMessageStatus = "completed"` - `const BetaResponseOutputMessageStatusIncomplete BetaResponseOutputMessageStatus = "incomplete"` - `Type Message` The type of the output message. Always `message`. - `const MessageMessage Message = "message"` - `Agent BetaResponseOutputMessageAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Phase BetaResponseOutputMessagePhase` 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 BetaResponseOutputMessagePhaseCommentary BetaResponseOutputMessagePhase = "commentary"` - `const BetaResponseOutputMessagePhaseFinalAnswer BetaResponseOutputMessagePhase = "final_answer"` - `type BetaResponseFileSearchToolCall 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 BetaResponseFileSearchToolCallStatus` The status of the file search tool call. One of `in_progress`, `searching`, `incomplete` or `failed`, - `const BetaResponseFileSearchToolCallStatusInProgress BetaResponseFileSearchToolCallStatus = "in_progress"` - `const BetaResponseFileSearchToolCallStatusSearching BetaResponseFileSearchToolCallStatus = "searching"` - `const BetaResponseFileSearchToolCallStatusCompleted BetaResponseFileSearchToolCallStatus = "completed"` - `const BetaResponseFileSearchToolCallStatusIncomplete BetaResponseFileSearchToolCallStatus = "incomplete"` - `const BetaResponseFileSearchToolCallStatusFailed BetaResponseFileSearchToolCallStatus = "failed"` - `Type FileSearchCall` The type of the file search tool call. Always `file_search_call`. - `const FileSearchCallFileSearchCall FileSearchCall = "file_search_call"` - `Agent BetaResponseFileSearchToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Results []BetaResponseFileSearchToolCallResult` The results of the file search tool call. - `Attributes map[string, BetaResponseFileSearchToolCallResultAttributeUnion]` 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 BetaResponseComputerToolCall 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 []BetaResponseComputerToolCallPendingSafetyCheck` 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 BetaResponseComputerToolCallStatus` The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - `const BetaResponseComputerToolCallStatusInProgress BetaResponseComputerToolCallStatus = "in_progress"` - `const BetaResponseComputerToolCallStatusCompleted BetaResponseComputerToolCallStatus = "completed"` - `const BetaResponseComputerToolCallStatusIncomplete BetaResponseComputerToolCallStatus = "incomplete"` - `Type BetaResponseComputerToolCallType` The type of the computer call. Always `computer_call`. - `const BetaResponseComputerToolCallTypeComputerCall BetaResponseComputerToolCallType = "computer_call"` - `Action BetaComputerActionUnion` A click action. - `type BetaComputerActionClick struct{…}` A click action. - `Button string` Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`. - `const BetaComputerActionClickButtonLeft BetaComputerActionClickButton = "left"` - `const BetaComputerActionClickButtonRight BetaComputerActionClickButton = "right"` - `const BetaComputerActionClickButtonWheel BetaComputerActionClickButton = "wheel"` - `const BetaComputerActionClickButtonBack BetaComputerActionClickButton = "back"` - `const BetaComputerActionClickButtonForward BetaComputerActionClickButton = "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 BetaComputerActionDoubleClick 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 BetaComputerActionDrag struct{…}` A drag action. - `Path []BetaComputerActionDragPath` 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 BetaComputerActionKeypress 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 BetaComputerActionMove 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 BetaComputerActionScreenshot 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 BetaComputerActionScroll 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 BetaComputerActionType 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 BetaComputerActionWait 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 BetaComputerActionList` Flattened batched actions for `computer_use`. Each action includes an `type` discriminator and action-specific fields. - `type BetaComputerActionClick struct{…}` A click action. - `type BetaComputerActionDoubleClick struct{…}` A double click action. - `type BetaComputerActionDrag struct{…}` A drag action. - `type BetaComputerActionKeypress struct{…}` A collection of keypresses the model would like to perform. - `type BetaComputerActionMove struct{…}` A mouse move action. - `type BetaComputerActionScreenshot struct{…}` A screenshot action. - `type BetaComputerActionScroll struct{…}` A scroll action. - `type BetaComputerActionType struct{…}` An action to type in text. - `type BetaComputerActionWait struct{…}` A wait action. - `Agent BetaResponseComputerToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemComputerCallOutput struct{…}` The output of a computer tool call. - `CallID string` The ID of the computer tool call that produced the output. - `Output BetaResponseComputerToolCallOutputScreenshot` 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 []BetaResponseInputItemComputerCallOutputAcknowledgedSafetyCheck` 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. - `Agent BetaResponseInputItemComputerCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Status string` The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. - `const BetaResponseInputItemComputerCallOutputStatusInProgress BetaResponseInputItemComputerCallOutputStatus = "in_progress"` - `const BetaResponseInputItemComputerCallOutputStatusCompleted BetaResponseInputItemComputerCallOutputStatus = "completed"` - `const BetaResponseInputItemComputerCallOutputStatusIncomplete BetaResponseInputItemComputerCallOutputStatus = "incomplete"` - `type BetaResponseFunctionWebSearch 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 BetaResponseFunctionWebSearchActionUnion` 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 BetaResponseFunctionWebSearchActionSearch 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 []BetaResponseFunctionWebSearchActionSearchSource` 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 BetaResponseFunctionWebSearchActionOpenPage 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 BetaResponseFunctionWebSearchActionFindInPage 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 BetaResponseFunctionWebSearchStatus` The status of the web search tool call. - `const BetaResponseFunctionWebSearchStatusInProgress BetaResponseFunctionWebSearchStatus = "in_progress"` - `const BetaResponseFunctionWebSearchStatusSearching BetaResponseFunctionWebSearchStatus = "searching"` - `const BetaResponseFunctionWebSearchStatusCompleted BetaResponseFunctionWebSearchStatus = "completed"` - `const BetaResponseFunctionWebSearchStatusFailed BetaResponseFunctionWebSearchStatus = "failed"` - `Type WebSearchCall` The type of the web search tool call. Always `web_search_call`. - `const WebSearchCallWebSearchCall WebSearchCall = "web_search_call"` - `Agent BetaResponseFunctionWebSearchAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseFunctionToolCall 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. - `Agent BetaResponseFunctionToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseFunctionToolCallCallerUnion` The execution context that produced this tool call. - `type BetaResponseFunctionToolCallCallerDirect struct{…}` - `Type Direct` - `const DirectDirect Direct = "direct"` - `type BetaResponseFunctionToolCallCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` - `const ProgramProgram Program = "program"` - `Namespace string` The namespace of the function to run. - `Status BetaResponseFunctionToolCallStatus` The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - `const BetaResponseFunctionToolCallStatusInProgress BetaResponseFunctionToolCallStatus = "in_progress"` - `const BetaResponseFunctionToolCallStatusCompleted BetaResponseFunctionToolCallStatus = "completed"` - `const BetaResponseFunctionToolCallStatusIncomplete BetaResponseFunctionToolCallStatus = "incomplete"` - `type BetaResponseInputItemFunctionCallOutput struct{…}` The output of a function tool call. - `CallID string` The unique ID of the function tool call generated by the model. - `Output BetaResponseInputItemFunctionCallOutputOutputUnion` Text, image, or file output of the function tool call. - `string` - `type BetaResponseFunctionCallOutputItemList []BetaResponseFunctionCallOutputItemUnion` An array of content outputs (text, image, file) for the function tool call. - `type BetaResponseInputTextContent 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"` - `PromptCacheBreakpoint BetaResponseInputTextContentPromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `type BetaResponseInputImageContent 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 BetaResponseInputImageContentDetail` The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - `const BetaResponseInputImageContentDetailLow BetaResponseInputImageContentDetail = "low"` - `const BetaResponseInputImageContentDetailHigh BetaResponseInputImageContentDetail = "high"` - `const BetaResponseInputImageContentDetailAuto BetaResponseInputImageContentDetail = "auto"` - `const BetaResponseInputImageContentDetailOriginal BetaResponseInputImageContentDetail = "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. - `PromptCacheBreakpoint BetaResponseInputImageContentPromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `type BetaResponseInputFileContent struct{…}` A file input to the model. - `Type InputFile` The type of the input item. Always `input_file`. - `const InputFileInputFile InputFile = "input_file"` - `Detail BetaResponseInputFileContentDetail` The detail level of the file to be sent to the model. Use `auto` to let the system select the detail level; for GPT-5.6 and later models, `auto` uses high-quality rendering, which may increase input token usage. Use `low` for lower-cost rendering, or `high` to render the file at higher quality. Defaults to `auto`. - `const BetaResponseInputFileContentDetailAuto BetaResponseInputFileContentDetail = "auto"` - `const BetaResponseInputFileContentDetailLow BetaResponseInputFileContentDetail = "low"` - `const BetaResponseInputFileContentDetailHigh BetaResponseInputFileContentDetail = "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. - `PromptCacheBreakpoint BetaResponseInputFileContentPromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `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. - `Agent BetaResponseInputItemFunctionCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseInputItemFunctionCallOutputCallerUnion` The execution context that produced this tool call. - `type BetaResponseInputItemFunctionCallOutputCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseInputItemFunctionCallOutputCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `Status string` The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - `const BetaResponseInputItemFunctionCallOutputStatusInProgress BetaResponseInputItemFunctionCallOutputStatus = "in_progress"` - `const BetaResponseInputItemFunctionCallOutputStatusCompleted BetaResponseInputItemFunctionCallOutputStatus = "completed"` - `const BetaResponseInputItemFunctionCallOutputStatusIncomplete BetaResponseInputItemFunctionCallOutputStatus = "incomplete"` - `type BetaResponseInputItemAgentMessage struct{…}` A message routed between agents. - `Author string` The sending agent identity. - `Content []BetaResponseInputItemAgentMessageContentUnion` Plaintext, image, or encrypted content sent between agents. - `type BetaResponseInputTextContent struct{…}` A text input to the model. - `type BetaResponseInputImageContent struct{…}` An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision) - `type BetaResponseInputItemAgentMessageContentEncryptedContent struct{…}` Opaque encrypted content that Responses API decrypts inside trusted model execution. - `EncryptedContent string` Opaque encrypted content. - `Type EncryptedContent` The type of the input item. Always `encrypted_content`. - `const EncryptedContentEncryptedContent EncryptedContent = "encrypted_content"` - `Recipient string` The destination agent identity. - `Type AgentMessage` The item type. Always `agent_message`. - `const AgentMessageAgentMessage AgentMessage = "agent_message"` - `ID string` The unique ID of this agent message item. - `Agent BetaResponseInputItemAgentMessageAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemMultiAgentCall struct{…}` - `Action string` The multi-agent action that was executed. - `const BetaResponseInputItemMultiAgentCallActionSpawnAgent BetaResponseInputItemMultiAgentCallAction = "spawn_agent"` - `const BetaResponseInputItemMultiAgentCallActionInterruptAgent BetaResponseInputItemMultiAgentCallAction = "interrupt_agent"` - `const BetaResponseInputItemMultiAgentCallActionListAgents BetaResponseInputItemMultiAgentCallAction = "list_agents"` - `const BetaResponseInputItemMultiAgentCallActionSendMessage BetaResponseInputItemMultiAgentCallAction = "send_message"` - `const BetaResponseInputItemMultiAgentCallActionFollowupTask BetaResponseInputItemMultiAgentCallAction = "followup_task"` - `const BetaResponseInputItemMultiAgentCallActionWaitAgent BetaResponseInputItemMultiAgentCallAction = "wait_agent"` - `Arguments string` The action arguments as a JSON string. - `CallID string` The unique ID linking this call to its output. - `Type MultiAgentCall` The item type. Always `multi_agent_call`. - `const MultiAgentCallMultiAgentCall MultiAgentCall = "multi_agent_call"` - `ID string` The unique ID of this multi-agent call. - `Agent BetaResponseInputItemMultiAgentCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemMultiAgentCallOutput struct{…}` - `Action string` The multi-agent action that produced this result. - `const BetaResponseInputItemMultiAgentCallOutputActionSpawnAgent BetaResponseInputItemMultiAgentCallOutputAction = "spawn_agent"` - `const BetaResponseInputItemMultiAgentCallOutputActionInterruptAgent BetaResponseInputItemMultiAgentCallOutputAction = "interrupt_agent"` - `const BetaResponseInputItemMultiAgentCallOutputActionListAgents BetaResponseInputItemMultiAgentCallOutputAction = "list_agents"` - `const BetaResponseInputItemMultiAgentCallOutputActionSendMessage BetaResponseInputItemMultiAgentCallOutputAction = "send_message"` - `const BetaResponseInputItemMultiAgentCallOutputActionFollowupTask BetaResponseInputItemMultiAgentCallOutputAction = "followup_task"` - `const BetaResponseInputItemMultiAgentCallOutputActionWaitAgent BetaResponseInputItemMultiAgentCallOutputAction = "wait_agent"` - `CallID string` The unique ID of the multi-agent call. - `Output []BetaResponseInputItemMultiAgentCallOutputOutput` Text output returned by the multi-agent action. - `Text string` The text content. - `Type OutputText` The content type. Always `output_text`. - `const OutputTextOutputText OutputText = "output_text"` - `Annotations []BetaResponseInputItemMultiAgentCallOutputOutputAnnotationUnion` Citations associated with the text content. - `type BetaResponseInputItemMultiAgentCallOutputOutputAnnotationFileCitation struct{…}` - `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 citation type. Always `file_citation`. - `const FileCitationFileCitation FileCitation = "file_citation"` - `type BetaResponseInputItemMultiAgentCallOutputOutputAnnotationURLCitation struct{…}` - `EndIndex int64` The index of the last character of the citation in the message. - `StartIndex int64` The index of the first character of the citation in the message. - `Title string` The title of the cited resource. - `Type URLCitation` The citation type. Always `url_citation`. - `const URLCitationURLCitation URLCitation = "url_citation"` - `URL string` The URL of the cited resource. - `type BetaResponseInputItemMultiAgentCallOutputOutputAnnotationContainerFileCitation struct{…}` - `ContainerID string` The ID of the container. - `EndIndex int64` The index of the last character of the citation in the message. - `FileID string` The ID of the container file. - `Filename string` The filename of the container file cited. - `StartIndex int64` The index of the first character of the citation in the message. - `Type ContainerFileCitation` The citation type. Always `container_file_citation`. - `const ContainerFileCitationContainerFileCitation ContainerFileCitation = "container_file_citation"` - `Type MultiAgentCallOutput` The item type. Always `multi_agent_call_output`. - `const MultiAgentCallOutputMultiAgentCallOutput MultiAgentCallOutput = "multi_agent_call_output"` - `ID string` The unique ID of this multi-agent call output. - `Agent BetaResponseInputItemMultiAgentCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemToolSearchCall 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. - `Agent BetaResponseInputItemToolSearchCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `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 BetaResponseInputItemToolSearchCallExecutionServer BetaResponseInputItemToolSearchCallExecution = "server"` - `const BetaResponseInputItemToolSearchCallExecutionClient BetaResponseInputItemToolSearchCallExecution = "client"` - `Status string` The status of the tool search call. - `const BetaResponseInputItemToolSearchCallStatusInProgress BetaResponseInputItemToolSearchCallStatus = "in_progress"` - `const BetaResponseInputItemToolSearchCallStatusCompleted BetaResponseInputItemToolSearchCallStatus = "completed"` - `const BetaResponseInputItemToolSearchCallStatusIncomplete BetaResponseInputItemToolSearchCallStatus = "incomplete"` - `type BetaResponseToolSearchOutputItemParamResp struct{…}` - `Tools []BetaToolUnion` The loaded tool definitions returned by the tool search output. - `type BetaFunctionTool 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 strict parameter validation is enforced for this function tool. - `Type Function` The type of the function tool. Always `function`. - `const FunctionFunction Function = "function"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaFunctionToolAllowedCallerDirect BetaFunctionToolAllowedCaller = "direct"` - `const BetaFunctionToolAllowedCallerProgrammatic BetaFunctionToolAllowedCaller = "programmatic"` - `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. - `OutputSchema map[string, any]` A JSON schema object describing the JSON value encoded in string outputs for this function. - `type BetaFileSearchTool 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 BetaFileSearchToolFiltersUnion` A filter to apply. - `type BetaFileSearchToolFiltersComparisonFilter 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 string` 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 BetaFileSearchToolFiltersComparisonFilterTypeEq BetaFileSearchToolFiltersComparisonFilterType = "eq"` - `const BetaFileSearchToolFiltersComparisonFilterTypeNe BetaFileSearchToolFiltersComparisonFilterType = "ne"` - `const BetaFileSearchToolFiltersComparisonFilterTypeGt BetaFileSearchToolFiltersComparisonFilterType = "gt"` - `const BetaFileSearchToolFiltersComparisonFilterTypeGte BetaFileSearchToolFiltersComparisonFilterType = "gte"` - `const BetaFileSearchToolFiltersComparisonFilterTypeLt BetaFileSearchToolFiltersComparisonFilterType = "lt"` - `const BetaFileSearchToolFiltersComparisonFilterTypeLte BetaFileSearchToolFiltersComparisonFilterType = "lte"` - `const BetaFileSearchToolFiltersComparisonFilterTypeIn BetaFileSearchToolFiltersComparisonFilterType = "in"` - `const BetaFileSearchToolFiltersComparisonFilterTypeNin BetaFileSearchToolFiltersComparisonFilterType = "nin"` - `Value BetaFileSearchToolFiltersComparisonFilterValueUnion` The value to compare against the attribute key; supports string, number, or boolean types. - `string` - `float64` - `bool` - `type BetaFileSearchToolFiltersComparisonFilterValueArray []BetaFileSearchToolFiltersComparisonFilterValueArrayItemUnion` - `string` - `float64` - `type BetaFileSearchToolFiltersCompoundFilter struct{…}` Combine multiple filters using `and` or `or`. - `Filters []BetaFileSearchToolFiltersCompoundFilterFilter` Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. - `type BetaFileSearchToolFiltersCompoundFilterFilter 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 string` 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 BetaFileSearchToolFiltersCompoundFilterFilterTypeEq BetaFileSearchToolFiltersCompoundFilterFilterType = "eq"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeNe BetaFileSearchToolFiltersCompoundFilterFilterType = "ne"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeGt BetaFileSearchToolFiltersCompoundFilterFilterType = "gt"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeGte BetaFileSearchToolFiltersCompoundFilterFilterType = "gte"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeLt BetaFileSearchToolFiltersCompoundFilterFilterType = "lt"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeLte BetaFileSearchToolFiltersCompoundFilterFilterType = "lte"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeIn BetaFileSearchToolFiltersCompoundFilterFilterType = "in"` - `const BetaFileSearchToolFiltersCompoundFilterFilterTypeNin BetaFileSearchToolFiltersCompoundFilterFilterType = "nin"` - `Value BetaFileSearchToolFiltersCompoundFilterFilterValueUnion` The value to compare against the attribute key; supports string, number, or boolean types. - `string` - `float64` - `bool` - `type BetaFileSearchToolFiltersCompoundFilterFilterValueArray []BetaFileSearchToolFiltersCompoundFilterFilterValueArrayItemUnion` - `string` - `float64` - `Type string` Type of operation: `and` or `or`. - `const BetaFileSearchToolFiltersCompoundFilterTypeAnd BetaFileSearchToolFiltersCompoundFilterType = "and"` - `const BetaFileSearchToolFiltersCompoundFilterTypeOr BetaFileSearchToolFiltersCompoundFilterType = "or"` - `MaxNumResults int64` The maximum number of results to return. This number should be between 1 and 50 inclusive. - `RankingOptions BetaFileSearchToolRankingOptions` Ranking options for search. - `HybridSearch BetaFileSearchToolRankingOptionsHybridSearch` 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 BetaFileSearchToolRankingOptionsRankerAuto BetaFileSearchToolRankingOptionsRanker = "auto"` - `const BetaFileSearchToolRankingOptionsRankerDefault2024_11_15 BetaFileSearchToolRankingOptionsRanker = "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 BetaComputerTool 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 BetaComputerUsePreviewTool 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 BetaComputerUsePreviewToolEnvironment` The type of computer environment to control. - `const BetaComputerUsePreviewToolEnvironmentWindows BetaComputerUsePreviewToolEnvironment = "windows"` - `const BetaComputerUsePreviewToolEnvironmentMac BetaComputerUsePreviewToolEnvironment = "mac"` - `const BetaComputerUsePreviewToolEnvironmentLinux BetaComputerUsePreviewToolEnvironment = "linux"` - `const BetaComputerUsePreviewToolEnvironmentUbuntu BetaComputerUsePreviewToolEnvironment = "ubuntu"` - `const BetaComputerUsePreviewToolEnvironmentBrowser BetaComputerUsePreviewToolEnvironment = "browser"` - `Type ComputerUsePreview` The type of the computer use tool. Always `computer_use_preview`. - `const ComputerUsePreviewComputerUsePreview ComputerUsePreview = "computer_use_preview"` - `type BetaWebSearchTool 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 BetaWebSearchToolType` The type of the web search tool. One of `web_search` or `web_search_2025_08_26`. - `const BetaWebSearchToolTypeWebSearch BetaWebSearchToolType = "web_search"` - `const BetaWebSearchToolTypeWebSearch2025_08_26 BetaWebSearchToolType = "web_search_2025_08_26"` - `Filters BetaWebSearchToolFilters` 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 BetaWebSearchToolSearchContextSize` 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 BetaWebSearchToolSearchContextSizeLow BetaWebSearchToolSearchContextSize = "low"` - `const BetaWebSearchToolSearchContextSizeMedium BetaWebSearchToolSearchContextSize = "medium"` - `const BetaWebSearchToolSearchContextSizeHigh BetaWebSearchToolSearchContextSize = "high"` - `UserLocation BetaWebSearchToolUserLocation` 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 BetaWebSearchToolUserLocationTypeApproximate BetaWebSearchToolUserLocationType = "approximate"` - `type BetaToolMcp 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"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaToolMcpAllowedCallerDirect BetaToolMcpAllowedCaller = "direct"` - `const BetaToolMcpAllowedCallerProgrammatic BetaToolMcpAllowedCaller = "programmatic"` - `AllowedTools BetaToolMcpAllowedToolsUnion` List of allowed tool names or a filter object. - `type BetaToolMcpAllowedToolsMcpAllowedTools []string` A string array of allowed tool names - `type BetaToolMcpAllowedToolsMcpToolFilter 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`, `connector_id`, or `tunnel_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 BetaToolMcpConnectorIDConnectorDropbox BetaToolMcpConnectorID = "connector_dropbox"` - `const BetaToolMcpConnectorIDConnectorGmail BetaToolMcpConnectorID = "connector_gmail"` - `const BetaToolMcpConnectorIDConnectorGooglecalendar BetaToolMcpConnectorID = "connector_googlecalendar"` - `const BetaToolMcpConnectorIDConnectorGoogledrive BetaToolMcpConnectorID = "connector_googledrive"` - `const BetaToolMcpConnectorIDConnectorMicrosoftteams BetaToolMcpConnectorID = "connector_microsoftteams"` - `const BetaToolMcpConnectorIDConnectorOutlookcalendar BetaToolMcpConnectorID = "connector_outlookcalendar"` - `const BetaToolMcpConnectorIDConnectorOutlookemail BetaToolMcpConnectorID = "connector_outlookemail"` - `const BetaToolMcpConnectorIDConnectorSharepoint BetaToolMcpConnectorID = "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 BetaToolMcpRequireApprovalUnion` Specify which of the MCP server's tools require approval. - `type BetaToolMcpRequireApprovalMcpToolApprovalFilter 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 BetaToolMcpRequireApprovalMcpToolApprovalFilterAlways` 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 BetaToolMcpRequireApprovalMcpToolApprovalFilterNever` 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 BetaToolMcpRequireApprovalMcpToolApprovalSetting 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 BetaToolMcpRequireApprovalMcpToolApprovalSettingAlways BetaToolMcpRequireApprovalMcpToolApprovalSetting = "always"` - `const BetaToolMcpRequireApprovalMcpToolApprovalSettingNever BetaToolMcpRequireApprovalMcpToolApprovalSetting = "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`, `connector_id`, or `tunnel_id` must be provided. - `TunnelID string` The Secure MCP Tunnel ID to use instead of a direct server URL. One of `server_url`, `connector_id`, or `tunnel_id` must be provided. - `type BetaToolCodeInterpreter struct{…}` A tool that runs Python code to help generate a response to a prompt. - `Container BetaToolCodeInterpreterContainerUnion` 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 BetaToolCodeInterpreterContainerCodeInterpreterToolAuto 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 BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit1g BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "1g"` - `const BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit4g BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "4g"` - `const BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit16g BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "16g"` - `const BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit64g BetaToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "64g"` - `NetworkPolicy BetaToolCodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicyUnion` Network access policy for the container. - `type BetaContainerNetworkPolicyDisabled struct{…}` - `Type Disabled` Disable outbound network access. Always `disabled`. - `const DisabledDisabled Disabled = "disabled"` - `type BetaContainerNetworkPolicyAllowlist 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 []BetaContainerNetworkPolicyDomainSecret` 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"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaToolCodeInterpreterAllowedCallerDirect BetaToolCodeInterpreterAllowedCaller = "direct"` - `const BetaToolCodeInterpreterAllowedCallerProgrammatic BetaToolCodeInterpreterAllowedCaller = "programmatic"` - `type BetaToolProgrammaticToolCalling struct{…}` - `Type ProgrammaticToolCalling` The type of the tool. Always `programmatic_tool_calling`. - `const ProgrammaticToolCallingProgrammaticToolCalling ProgrammaticToolCalling = "programmatic_tool_calling"` - `type BetaToolImageGeneration 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 BetaToolImageGenerationActionGenerate BetaToolImageGenerationAction = "generate"` - `const BetaToolImageGenerationActionEdit BetaToolImageGenerationAction = "edit"` - `const BetaToolImageGenerationActionAuto BetaToolImageGenerationAction = "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 BetaToolImageGenerationBackgroundTransparent BetaToolImageGenerationBackground = "transparent"` - `const BetaToolImageGenerationBackgroundOpaque BetaToolImageGenerationBackground = "opaque"` - `const BetaToolImageGenerationBackgroundAuto BetaToolImageGenerationBackground = "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 BetaToolImageGenerationInputFidelityHigh BetaToolImageGenerationInputFidelity = "high"` - `const BetaToolImageGenerationInputFidelityLow BetaToolImageGenerationInputFidelity = "low"` - `InputImageMask BetaToolImageGenerationInputImageMask` 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 BetaToolImageGenerationModelGPTImage1 BetaToolImageGenerationModel = "gpt-image-1"` - `const BetaToolImageGenerationModelGPTImage1Mini BetaToolImageGenerationModel = "gpt-image-1-mini"` - `const BetaToolImageGenerationModelGPTImage2 BetaToolImageGenerationModel = "gpt-image-2"` - `const BetaToolImageGenerationModelGPTImage2_2026_04_21 BetaToolImageGenerationModel = "gpt-image-2-2026-04-21"` - `const BetaToolImageGenerationModelGPTImage1_5 BetaToolImageGenerationModel = "gpt-image-1.5"` - `const BetaToolImageGenerationModelChatgptImageLatest BetaToolImageGenerationModel = "chatgpt-image-latest"` - `Moderation string` Moderation level for the generated image. Default: `auto`. - `const BetaToolImageGenerationModerationAuto BetaToolImageGenerationModeration = "auto"` - `const BetaToolImageGenerationModerationLow BetaToolImageGenerationModeration = "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 BetaToolImageGenerationOutputFormatPNG BetaToolImageGenerationOutputFormat = "png"` - `const BetaToolImageGenerationOutputFormatWebP BetaToolImageGenerationOutputFormat = "webp"` - `const BetaToolImageGenerationOutputFormatJPEG BetaToolImageGenerationOutputFormat = "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 BetaToolImageGenerationQualityLow BetaToolImageGenerationQuality = "low"` - `const BetaToolImageGenerationQualityMedium BetaToolImageGenerationQuality = "medium"` - `const BetaToolImageGenerationQualityHigh BetaToolImageGenerationQuality = "high"` - `const BetaToolImageGenerationQualityAuto BetaToolImageGenerationQuality = "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 BetaToolImageGenerationSize1024x1024 BetaToolImageGenerationSize = "1024x1024"` - `const BetaToolImageGenerationSize1024x1536 BetaToolImageGenerationSize = "1024x1536"` - `const BetaToolImageGenerationSize1536x1024 BetaToolImageGenerationSize = "1536x1024"` - `const BetaToolImageGenerationSizeAuto BetaToolImageGenerationSize = "auto"` - `type BetaToolLocalShell 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 BetaFunctionShellTool 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"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaFunctionShellToolAllowedCallerDirect BetaFunctionShellToolAllowedCaller = "direct"` - `const BetaFunctionShellToolAllowedCallerProgrammatic BetaFunctionShellToolAllowedCaller = "programmatic"` - `Environment BetaFunctionShellToolEnvironmentUnion` - `type BetaContainerAuto 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 BetaContainerAutoMemoryLimit` The memory limit for the container. - `const BetaContainerAutoMemoryLimit1g BetaContainerAutoMemoryLimit = "1g"` - `const BetaContainerAutoMemoryLimit4g BetaContainerAutoMemoryLimit = "4g"` - `const BetaContainerAutoMemoryLimit16g BetaContainerAutoMemoryLimit = "16g"` - `const BetaContainerAutoMemoryLimit64g BetaContainerAutoMemoryLimit = "64g"` - `NetworkPolicy BetaContainerAutoNetworkPolicyUnion` Network access policy for the container. - `type BetaContainerNetworkPolicyDisabled struct{…}` - `type BetaContainerNetworkPolicyAllowlist struct{…}` - `Skills []BetaContainerAutoSkillUnion` An optional list of skills referenced by id or inline data. - `type BetaSkillReference 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 BetaInlineSkill struct{…}` - `Description string` The description of the skill. - `Name string` The name of the skill. - `Source BetaInlineSkillSource` 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 BetaLocalEnvironment struct{…}` - `Type Local` Use a local computer environment. - `const LocalLocal Local = "local"` - `Skills []BetaLocalSkill` 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 BetaContainerReference 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 BetaCustomTool 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"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaCustomToolAllowedCallerDirect BetaCustomToolAllowedCaller = "direct"` - `const BetaCustomToolAllowedCallerProgrammatic BetaCustomToolAllowedCaller = "programmatic"` - `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 BetaCustomToolFormatUnion` The input format for the custom tool. Default is unconstrained text. - `type BetaCustomToolFormatText struct{…}` Unconstrained free-form text. - `Type Text` Unconstrained text format. Always `text`. - `const TextText Text = "text"` - `type BetaCustomToolFormatGrammar 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 BetaCustomToolFormatGrammarSyntaxLark BetaCustomToolFormatGrammarSyntax = "lark"` - `const BetaCustomToolFormatGrammarSyntaxRegex BetaCustomToolFormatGrammarSyntax = "regex"` - `Type Grammar` Grammar format. Always `grammar`. - `const GrammarGrammar Grammar = "grammar"` - `type BetaNamespaceTool 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 []BetaNamespaceToolToolUnion` The function/custom tools available inside this namespace. - `type BetaNamespaceToolToolFunction struct{…}` - `Name string` - `Type Function` - `const FunctionFunction Function = "function"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaNamespaceToolToolFunctionAllowedCallerDirect BetaNamespaceToolToolFunctionAllowedCaller = "direct"` - `const BetaNamespaceToolToolFunctionAllowedCallerProgrammatic BetaNamespaceToolToolFunctionAllowedCaller = "programmatic"` - `DeferLoading bool` Whether this function should be deferred and discovered via tool search. - `Description string` - `OutputSchema map[string, any]` A JSON Schema describing the JSON value encoded in string outputs for this function tool. This does not describe content-array outputs. - `Parameters any` - `Strict bool` Whether to enforce strict parameter validation. If omitted, Responses attempts to use strict validation when the schema is compatible, and falls back to non-strict validation otherwise. - `type BetaCustomTool 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 BetaToolSearchTool 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 BetaToolSearchToolExecution` Whether tool search is executed by the server or by the client. - `const BetaToolSearchToolExecutionServer BetaToolSearchToolExecution = "server"` - `const BetaToolSearchToolExecutionClient BetaToolSearchToolExecution = "client"` - `Parameters any` Parameter schema for a client-executed tool search tool. - `type BetaWebSearchPreviewTool 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 BetaWebSearchPreviewToolType` The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`. - `const BetaWebSearchPreviewToolTypeWebSearchPreview BetaWebSearchPreviewToolType = "web_search_preview"` - `const BetaWebSearchPreviewToolTypeWebSearchPreview2025_03_11 BetaWebSearchPreviewToolType = "web_search_preview_2025_03_11"` - `SearchContentTypes []string` - `const BetaWebSearchPreviewToolSearchContentTypeText BetaWebSearchPreviewToolSearchContentType = "text"` - `const BetaWebSearchPreviewToolSearchContentTypeImage BetaWebSearchPreviewToolSearchContentType = "image"` - `SearchContextSize BetaWebSearchPreviewToolSearchContextSize` 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 BetaWebSearchPreviewToolSearchContextSizeLow BetaWebSearchPreviewToolSearchContextSize = "low"` - `const BetaWebSearchPreviewToolSearchContextSizeMedium BetaWebSearchPreviewToolSearchContextSize = "medium"` - `const BetaWebSearchPreviewToolSearchContextSizeHigh BetaWebSearchPreviewToolSearchContextSize = "high"` - `UserLocation BetaWebSearchPreviewToolUserLocation` 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 BetaApplyPatchTool 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"` - `AllowedCallers []string` The tool invocation context(s). - `const BetaApplyPatchToolAllowedCallerDirect BetaApplyPatchToolAllowedCaller = "direct"` - `const BetaApplyPatchToolAllowedCallerProgrammatic BetaApplyPatchToolAllowedCaller = "programmatic"` - `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. - `Agent BetaResponseToolSearchOutputItemParamAgentResp` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `CallID string` The unique ID of the tool search call generated by the model. - `Execution BetaResponseToolSearchOutputItemParamExecution` Whether tool search was executed by the server or by the client. - `const BetaResponseToolSearchOutputItemParamExecutionServer BetaResponseToolSearchOutputItemParamExecution = "server"` - `const BetaResponseToolSearchOutputItemParamExecutionClient BetaResponseToolSearchOutputItemParamExecution = "client"` - `Status BetaResponseToolSearchOutputItemParamStatus` The status of the tool search output. - `const BetaResponseToolSearchOutputItemParamStatusInProgress BetaResponseToolSearchOutputItemParamStatus = "in_progress"` - `const BetaResponseToolSearchOutputItemParamStatusCompleted BetaResponseToolSearchOutputItemParamStatus = "completed"` - `const BetaResponseToolSearchOutputItemParamStatusIncomplete BetaResponseToolSearchOutputItemParamStatus = "incomplete"` - `type BetaResponseInputItemAdditionalTools struct{…}` - `Role Developer` The role that provided the additional tools. Only `developer` is supported. - `const DeveloperDeveloper Developer = "developer"` - `Tools []BetaToolUnion` A list of additional tools made available at this item. - `type BetaFunctionTool 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 BetaFileSearchTool 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 BetaComputerTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaComputerUsePreviewTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaWebSearchTool 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 BetaToolMcp 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 BetaToolCodeInterpreter struct{…}` A tool that runs Python code to help generate a response to a prompt. - `type BetaToolProgrammaticToolCalling struct{…}` - `type BetaToolImageGeneration struct{…}` A tool that generates images using the GPT image models. - `type BetaToolLocalShell struct{…}` A tool that allows the model to execute shell commands in a local environment. - `type BetaFunctionShellTool struct{…}` A tool that allows the model to execute shell commands. - `type BetaCustomTool 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 BetaNamespaceTool struct{…}` Groups function/custom tools under a shared namespace. - `type BetaToolSearchTool struct{…}` Hosted or BYOT tool search configuration for deferred tools. - `type BetaWebSearchPreviewTool 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 BetaApplyPatchTool 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. - `Agent BetaResponseInputItemAdditionalToolsAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseReasoningItem 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 []BetaResponseReasoningItemSummary` 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"` - `Agent BetaResponseReasoningItemAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Content []BetaResponseReasoningItemContent` 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. This is populated by default for reasoning items returned by `POST /v1/responses` and WebSocket `response.create` requests. - `Status BetaResponseReasoningItemStatus` The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - `const BetaResponseReasoningItemStatusInProgress BetaResponseReasoningItemStatus = "in_progress"` - `const BetaResponseReasoningItemStatusCompleted BetaResponseReasoningItemStatus = "completed"` - `const BetaResponseReasoningItemStatusIncomplete BetaResponseReasoningItemStatus = "incomplete"` - `type BetaResponseCompactionItemParamResp 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. - `Agent BetaResponseCompactionItemParamAgentResp` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemImageGenerationCall 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 BetaResponseInputItemImageGenerationCallStatusInProgress BetaResponseInputItemImageGenerationCallStatus = "in_progress"` - `const BetaResponseInputItemImageGenerationCallStatusCompleted BetaResponseInputItemImageGenerationCallStatus = "completed"` - `const BetaResponseInputItemImageGenerationCallStatusGenerating BetaResponseInputItemImageGenerationCallStatus = "generating"` - `const BetaResponseInputItemImageGenerationCallStatusFailed BetaResponseInputItemImageGenerationCallStatus = "failed"` - `Type ImageGenerationCall` The type of the image generation call. Always `image_generation_call`. - `const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"` - `Agent BetaResponseInputItemImageGenerationCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseCodeInterpreterToolCall 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 []BetaResponseCodeInterpreterToolCallOutputUnion` The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available. - `type BetaResponseCodeInterpreterToolCallOutputLogs 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 BetaResponseCodeInterpreterToolCallOutputImage 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 BetaResponseCodeInterpreterToolCallStatus` The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`. - `const BetaResponseCodeInterpreterToolCallStatusInProgress BetaResponseCodeInterpreterToolCallStatus = "in_progress"` - `const BetaResponseCodeInterpreterToolCallStatusCompleted BetaResponseCodeInterpreterToolCallStatus = "completed"` - `const BetaResponseCodeInterpreterToolCallStatusIncomplete BetaResponseCodeInterpreterToolCallStatus = "incomplete"` - `const BetaResponseCodeInterpreterToolCallStatusInterpreting BetaResponseCodeInterpreterToolCallStatus = "interpreting"` - `const BetaResponseCodeInterpreterToolCallStatusFailed BetaResponseCodeInterpreterToolCallStatus = "failed"` - `Type CodeInterpreterCall` The type of the code interpreter tool call. Always `code_interpreter_call`. - `const CodeInterpreterCallCodeInterpreterCall CodeInterpreterCall = "code_interpreter_call"` - `Agent BetaResponseCodeInterpreterToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemLocalShellCall struct{…}` A tool call to run a command on the local shell. - `ID string` The unique ID of the local shell call. - `Action BetaResponseInputItemLocalShellCallAction` 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 BetaResponseInputItemLocalShellCallStatusInProgress BetaResponseInputItemLocalShellCallStatus = "in_progress"` - `const BetaResponseInputItemLocalShellCallStatusCompleted BetaResponseInputItemLocalShellCallStatus = "completed"` - `const BetaResponseInputItemLocalShellCallStatusIncomplete BetaResponseInputItemLocalShellCallStatus = "incomplete"` - `Type LocalShellCall` The type of the local shell call. Always `local_shell_call`. - `const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"` - `Agent BetaResponseInputItemLocalShellCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemLocalShellCallOutput 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"` - `Agent BetaResponseInputItemLocalShellCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Status string` The status of the item. One of `in_progress`, `completed`, or `incomplete`. - `const BetaResponseInputItemLocalShellCallOutputStatusInProgress BetaResponseInputItemLocalShellCallOutputStatus = "in_progress"` - `const BetaResponseInputItemLocalShellCallOutputStatusCompleted BetaResponseInputItemLocalShellCallOutputStatus = "completed"` - `const BetaResponseInputItemLocalShellCallOutputStatusIncomplete BetaResponseInputItemLocalShellCallOutputStatus = "incomplete"` - `type BetaResponseInputItemShellCall struct{…}` A tool representing a request to execute one or more shell commands. - `Action BetaResponseInputItemShellCallAction` 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. - `Agent BetaResponseInputItemShellCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseInputItemShellCallCallerUnion` The execution context that produced this tool call. - `type BetaResponseInputItemShellCallCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseInputItemShellCallCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `Environment BetaResponseInputItemShellCallEnvironmentUnion` The environment to execute the shell commands in. - `type BetaLocalEnvironment struct{…}` - `type BetaContainerReference struct{…}` - `Status string` The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. - `const BetaResponseInputItemShellCallStatusInProgress BetaResponseInputItemShellCallStatus = "in_progress"` - `const BetaResponseInputItemShellCallStatusCompleted BetaResponseInputItemShellCallStatus = "completed"` - `const BetaResponseInputItemShellCallStatusIncomplete BetaResponseInputItemShellCallStatus = "incomplete"` - `type BetaResponseInputItemShellCallOutput 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 []BetaResponseFunctionShellCallOutputContent` Captured chunks of stdout and stderr output, along with their associated outcomes. - `Outcome BetaResponseFunctionShellCallOutputContentOutcomeUnion` The exit or timeout outcome associated with this shell call. - `type BetaResponseFunctionShellCallOutputContentOutcomeTimeout struct{…}` Indicates that the shell call exceeded its configured time limit. - `Type Timeout` The outcome type. Always `timeout`. - `const TimeoutTimeout Timeout = "timeout"` - `type BetaResponseFunctionShellCallOutputContentOutcomeExit 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. - `Agent BetaResponseInputItemShellCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseInputItemShellCallOutputCallerUnion` The execution context that produced this tool call. - `type BetaResponseInputItemShellCallOutputCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseInputItemShellCallOutputCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `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 BetaResponseInputItemShellCallOutputStatusInProgress BetaResponseInputItemShellCallOutputStatus = "in_progress"` - `const BetaResponseInputItemShellCallOutputStatusCompleted BetaResponseInputItemShellCallOutputStatus = "completed"` - `const BetaResponseInputItemShellCallOutputStatusIncomplete BetaResponseInputItemShellCallOutputStatus = "incomplete"` - `type BetaResponseInputItemApplyPatchCall 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 BetaResponseInputItemApplyPatchCallOperationUnion` The specific create, delete, or update instruction for the apply_patch tool call. - `type BetaResponseInputItemApplyPatchCallOperationCreateFile 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 BetaResponseInputItemApplyPatchCallOperationDeleteFile 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 BetaResponseInputItemApplyPatchCallOperationUpdateFile 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 BetaResponseInputItemApplyPatchCallStatusInProgress BetaResponseInputItemApplyPatchCallStatus = "in_progress"` - `const BetaResponseInputItemApplyPatchCallStatusCompleted BetaResponseInputItemApplyPatchCallStatus = "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. - `Agent BetaResponseInputItemApplyPatchCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseInputItemApplyPatchCallCallerUnion` The execution context that produced this tool call. - `type BetaResponseInputItemApplyPatchCallCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseInputItemApplyPatchCallCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `type BetaResponseInputItemApplyPatchCallOutput 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 BetaResponseInputItemApplyPatchCallOutputStatusCompleted BetaResponseInputItemApplyPatchCallOutputStatus = "completed"` - `const BetaResponseInputItemApplyPatchCallOutputStatusFailed BetaResponseInputItemApplyPatchCallOutputStatus = "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. - `Agent BetaResponseInputItemApplyPatchCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseInputItemApplyPatchCallOutputCallerUnion` The execution context that produced this tool call. - `type BetaResponseInputItemApplyPatchCallOutputCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseInputItemApplyPatchCallOutputCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `Output string` Optional human-readable log text from the apply patch tool (e.g., patch results or errors). - `type BetaResponseInputItemMcpListTools 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 []BetaResponseInputItemMcpListToolsTool` 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"` - `Agent BetaResponseInputItemMcpListToolsAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Error string` Error message if the server could not list tools. - `type BetaResponseInputItemMcpApprovalRequest 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"` - `Agent BetaResponseInputItemMcpApprovalRequestAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemMcpApprovalResponse 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 - `Agent BetaResponseInputItemMcpApprovalResponseAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Reason string` Optional reason for the decision. - `type BetaResponseInputItemMcpCall 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"` - `Agent BetaResponseInputItemMcpCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `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 BetaResponseInputItemMcpCallStatusInProgress BetaResponseInputItemMcpCallStatus = "in_progress"` - `const BetaResponseInputItemMcpCallStatusCompleted BetaResponseInputItemMcpCallStatus = "completed"` - `const BetaResponseInputItemMcpCallStatusIncomplete BetaResponseInputItemMcpCallStatus = "incomplete"` - `const BetaResponseInputItemMcpCallStatusCalling BetaResponseInputItemMcpCallStatus = "calling"` - `const BetaResponseInputItemMcpCallStatusFailed BetaResponseInputItemMcpCallStatus = "failed"` - `type BetaResponseCustomToolCallOutput 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 BetaResponseCustomToolCallOutputOutputUnion` The output from the custom tool call generated by your code. Can be a string or an list of output content. - `string` - `type BetaResponseCustomToolCallOutputOutputOutputContentList []BetaResponseCustomToolCallOutputOutputOutputContentListItemUnion` Text, image, or file output of the custom tool call. - `type BetaResponseInputText struct{…}` A text input to the model. - `type BetaResponseInputImage struct{…}` An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - `type BetaResponseInputFile 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. - `Agent BetaResponseCustomToolCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseCustomToolCallOutputCallerUnion` The execution context that produced this tool call. - `type BetaResponseCustomToolCallOutputCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseCustomToolCallOutputCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `type BetaResponseCustomToolCall 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. - `Agent BetaResponseCustomToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseCustomToolCallCallerUnion` The execution context that produced this tool call. - `type BetaResponseCustomToolCallCallerDirect struct{…}` - `Type Direct` - `const DirectDirect Direct = "direct"` - `type BetaResponseCustomToolCallCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` - `const ProgramProgram Program = "program"` - `Namespace string` The namespace of the custom tool being called. - `type BetaResponseInputItemCompactionTrigger 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"` - `Agent BetaResponseInputItemCompactionTriggerAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemItemReference struct{…}` An internal identifier for an item to reference. - `ID string` The ID of the item to reference. - `Agent BetaResponseInputItemItemReferenceAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Type string` The type of item to reference. Always `item_reference`. - `const BetaResponseInputItemItemReferenceTypeItemReference BetaResponseInputItemItemReferenceType = "item_reference"` - `type BetaResponseInputItemProgram struct{…}` - `ID string` The unique ID of this program item. - `CallID string` The stable call ID of the program item. - `Code string` The JavaScript source executed by programmatic tool calling. - `Fingerprint string` Opaque program replay fingerprint that must be round-tripped. - `Type Program` The item type. Always `program`. - `const ProgramProgram Program = "program"` - `Agent BetaResponseInputItemProgramAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseInputItemProgramOutput struct{…}` - `ID string` The unique ID of this program output item. - `CallID string` The call ID of the program item. - `Result string` The result produced by the program item. - `Status string` The terminal status of the program output. - `const BetaResponseInputItemProgramOutputStatusCompleted BetaResponseInputItemProgramOutputStatus = "completed"` - `const BetaResponseInputItemProgramOutputStatusIncomplete BetaResponseInputItemProgramOutputStatus = "incomplete"` - `Type ProgramOutput` The item type. Always `program_output`. - `const ProgramOutputProgramOutput ProgramOutput = "program_output"` - `Agent BetaResponseInputItemProgramOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Metadata map[string, string]` 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 BetaResponseModel` 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. - `type BetaResponseModel string` 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. - `const BetaResponseModelGPT5_6Sol BetaResponseModel = "gpt-5.6-sol"` - `const BetaResponseModelGPT5_6Terra BetaResponseModel = "gpt-5.6-terra"` - `const BetaResponseModelGPT5_6Luna BetaResponseModel = "gpt-5.6-luna"` - `const BetaResponseModelGPT5_4 BetaResponseModel = "gpt-5.4"` - `const BetaResponseModelGPT5_4Mini BetaResponseModel = "gpt-5.4-mini"` - `const BetaResponseModelGPT5_4Nano BetaResponseModel = "gpt-5.4-nano"` - `const BetaResponseModelGPT5_4Mini2026_03_17 BetaResponseModel = "gpt-5.4-mini-2026-03-17"` - `const BetaResponseModelGPT5_4Nano2026_03_17 BetaResponseModel = "gpt-5.4-nano-2026-03-17"` - `const BetaResponseModelGPT5_3ChatLatest BetaResponseModel = "gpt-5.3-chat-latest"` - `const BetaResponseModelGPT5_2 BetaResponseModel = "gpt-5.2"` - `const BetaResponseModelGPT5_2_2025_12_11 BetaResponseModel = "gpt-5.2-2025-12-11"` - `const BetaResponseModelGPT5_2ChatLatest BetaResponseModel = "gpt-5.2-chat-latest"` - `const BetaResponseModelGPT5_2Pro BetaResponseModel = "gpt-5.2-pro"` - `const BetaResponseModelGPT5_2Pro2025_12_11 BetaResponseModel = "gpt-5.2-pro-2025-12-11"` - `const BetaResponseModelGPT5_1 BetaResponseModel = "gpt-5.1"` - `const BetaResponseModelGPT5_1_2025_11_13 BetaResponseModel = "gpt-5.1-2025-11-13"` - `const BetaResponseModelGPT5_1Codex BetaResponseModel = "gpt-5.1-codex"` - `const BetaResponseModelGPT5_1Mini BetaResponseModel = "gpt-5.1-mini"` - `const BetaResponseModelGPT5_1ChatLatest BetaResponseModel = "gpt-5.1-chat-latest"` - `const BetaResponseModelGPT5 BetaResponseModel = "gpt-5"` - `const BetaResponseModelGPT5Mini BetaResponseModel = "gpt-5-mini"` - `const BetaResponseModelGPT5Nano BetaResponseModel = "gpt-5-nano"` - `const BetaResponseModelGPT5_2025_08_07 BetaResponseModel = "gpt-5-2025-08-07"` - `const BetaResponseModelGPT5Mini2025_08_07 BetaResponseModel = "gpt-5-mini-2025-08-07"` - `const BetaResponseModelGPT5Nano2025_08_07 BetaResponseModel = "gpt-5-nano-2025-08-07"` - `const BetaResponseModelGPT5ChatLatest BetaResponseModel = "gpt-5-chat-latest"` - `const BetaResponseModelGPT4_1 BetaResponseModel = "gpt-4.1"` - `const BetaResponseModelGPT4_1Mini BetaResponseModel = "gpt-4.1-mini"` - `const BetaResponseModelGPT4_1Nano BetaResponseModel = "gpt-4.1-nano"` - `const BetaResponseModelGPT4_1_2025_04_14 BetaResponseModel = "gpt-4.1-2025-04-14"` - `const BetaResponseModelGPT4_1Mini2025_04_14 BetaResponseModel = "gpt-4.1-mini-2025-04-14"` - `const BetaResponseModelGPT4_1Nano2025_04_14 BetaResponseModel = "gpt-4.1-nano-2025-04-14"` - `const BetaResponseModelO4Mini BetaResponseModel = "o4-mini"` - `const BetaResponseModelO4Mini2025_04_16 BetaResponseModel = "o4-mini-2025-04-16"` - `const BetaResponseModelO3 BetaResponseModel = "o3"` - `const BetaResponseModelO3_2025_04_16 BetaResponseModel = "o3-2025-04-16"` - `const BetaResponseModelO3Mini BetaResponseModel = "o3-mini"` - `const BetaResponseModelO3Mini2025_01_31 BetaResponseModel = "o3-mini-2025-01-31"` - `const BetaResponseModelO1 BetaResponseModel = "o1"` - `const BetaResponseModelO1_2024_12_17 BetaResponseModel = "o1-2024-12-17"` - `const BetaResponseModelO1Preview BetaResponseModel = "o1-preview"` - `const BetaResponseModelO1Preview2024_09_12 BetaResponseModel = "o1-preview-2024-09-12"` - `const BetaResponseModelO1Mini BetaResponseModel = "o1-mini"` - `const BetaResponseModelO1Mini2024_09_12 BetaResponseModel = "o1-mini-2024-09-12"` - `const BetaResponseModelGPT4o BetaResponseModel = "gpt-4o"` - `const BetaResponseModelGPT4o2024_11_20 BetaResponseModel = "gpt-4o-2024-11-20"` - `const BetaResponseModelGPT4o2024_08_06 BetaResponseModel = "gpt-4o-2024-08-06"` - `const BetaResponseModelGPT4o2024_05_13 BetaResponseModel = "gpt-4o-2024-05-13"` - `const BetaResponseModelGPT4oAudioPreview BetaResponseModel = "gpt-4o-audio-preview"` - `const BetaResponseModelGPT4oAudioPreview2024_10_01 BetaResponseModel = "gpt-4o-audio-preview-2024-10-01"` - `const BetaResponseModelGPT4oAudioPreview2024_12_17 BetaResponseModel = "gpt-4o-audio-preview-2024-12-17"` - `const BetaResponseModelGPT4oAudioPreview2025_06_03 BetaResponseModel = "gpt-4o-audio-preview-2025-06-03"` - `const BetaResponseModelGPT4oMiniAudioPreview BetaResponseModel = "gpt-4o-mini-audio-preview"` - `const BetaResponseModelGPT4oMiniAudioPreview2024_12_17 BetaResponseModel = "gpt-4o-mini-audio-preview-2024-12-17"` - `const BetaResponseModelGPT4oSearchPreview BetaResponseModel = "gpt-4o-search-preview"` - `const BetaResponseModelGPT4oMiniSearchPreview BetaResponseModel = "gpt-4o-mini-search-preview"` - `const BetaResponseModelGPT4oSearchPreview2025_03_11 BetaResponseModel = "gpt-4o-search-preview-2025-03-11"` - `const BetaResponseModelGPT4oMiniSearchPreview2025_03_11 BetaResponseModel = "gpt-4o-mini-search-preview-2025-03-11"` - `const BetaResponseModelChatgpt4oLatest BetaResponseModel = "chatgpt-4o-latest"` - `const BetaResponseModelCodexMiniLatest BetaResponseModel = "codex-mini-latest"` - `const BetaResponseModelGPT4oMini BetaResponseModel = "gpt-4o-mini"` - `const BetaResponseModelGPT4oMini2024_07_18 BetaResponseModel = "gpt-4o-mini-2024-07-18"` - `const BetaResponseModelGPT4Turbo BetaResponseModel = "gpt-4-turbo"` - `const BetaResponseModelGPT4Turbo2024_04_09 BetaResponseModel = "gpt-4-turbo-2024-04-09"` - `const BetaResponseModelGPT4_0125Preview BetaResponseModel = "gpt-4-0125-preview"` - `const BetaResponseModelGPT4TurboPreview BetaResponseModel = "gpt-4-turbo-preview"` - `const BetaResponseModelGPT4_1106Preview BetaResponseModel = "gpt-4-1106-preview"` - `const BetaResponseModelGPT4VisionPreview BetaResponseModel = "gpt-4-vision-preview"` - `const BetaResponseModelGPT4 BetaResponseModel = "gpt-4"` - `const BetaResponseModelGPT4_0314 BetaResponseModel = "gpt-4-0314"` - `const BetaResponseModelGPT4_0613 BetaResponseModel = "gpt-4-0613"` - `const BetaResponseModelGPT4_32k BetaResponseModel = "gpt-4-32k"` - `const BetaResponseModelGPT4_32k0314 BetaResponseModel = "gpt-4-32k-0314"` - `const BetaResponseModelGPT4_32k0613 BetaResponseModel = "gpt-4-32k-0613"` - `const BetaResponseModelGPT3_5Turbo BetaResponseModel = "gpt-3.5-turbo"` - `const BetaResponseModelGPT3_5Turbo16k BetaResponseModel = "gpt-3.5-turbo-16k"` - `const BetaResponseModelGPT3_5Turbo0301 BetaResponseModel = "gpt-3.5-turbo-0301"` - `const BetaResponseModelGPT3_5Turbo0613 BetaResponseModel = "gpt-3.5-turbo-0613"` - `const BetaResponseModelGPT3_5Turbo1106 BetaResponseModel = "gpt-3.5-turbo-1106"` - `const BetaResponseModelGPT3_5Turbo0125 BetaResponseModel = "gpt-3.5-turbo-0125"` - `const BetaResponseModelGPT3_5Turbo16k0613 BetaResponseModel = "gpt-3.5-turbo-16k-0613"` - `const BetaResponseModelO1Pro BetaResponseModel = "o1-pro"` - `const BetaResponseModelO1Pro2025_03_19 BetaResponseModel = "o1-pro-2025-03-19"` - `const BetaResponseModelO3Pro BetaResponseModel = "o3-pro"` - `const BetaResponseModelO3Pro2025_06_10 BetaResponseModel = "o3-pro-2025-06-10"` - `const BetaResponseModelO3DeepResearch BetaResponseModel = "o3-deep-research"` - `const BetaResponseModelO3DeepResearch2025_06_26 BetaResponseModel = "o3-deep-research-2025-06-26"` - `const BetaResponseModelO4MiniDeepResearch BetaResponseModel = "o4-mini-deep-research"` - `const BetaResponseModelO4MiniDeepResearch2025_06_26 BetaResponseModel = "o4-mini-deep-research-2025-06-26"` - `const BetaResponseModelComputerUsePreview BetaResponseModel = "computer-use-preview"` - `const BetaResponseModelComputerUsePreview2025_03_11 BetaResponseModel = "computer-use-preview-2025-03-11"` - `const BetaResponseModelGPT5Codex BetaResponseModel = "gpt-5-codex"` - `const BetaResponseModelGPT5Pro BetaResponseModel = "gpt-5-pro"` - `const BetaResponseModelGPT5Pro2025_10_06 BetaResponseModel = "gpt-5-pro-2025-10-06"` - `const BetaResponseModelGPT5_1CodexMax BetaResponseModel = "gpt-5.1-codex-max"` - `string` - `Object Response` The object type of this resource - always set to `response`. - `const ResponseResponse Response = "response"` - `Output []BetaResponseOutputItemUnion` 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 BetaResponseOutputMessage struct{…}` An output message from the model. - `type BetaResponseFileSearchToolCall 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 BetaResponseFunctionToolCall 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 BetaResponseFunctionToolCallOutputItem 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 BetaResponseFunctionToolCallOutputItemOutputUnion` The output from the function call generated by your code. Can be a string or an list of output content. - `string` - `type BetaResponseFunctionToolCallOutputItemOutputOutputContentList []BetaResponseFunctionToolCallOutputItemOutputOutputContentListItemUnion` Text, image, or file output of the function call. - `type BetaResponseInputText struct{…}` A text input to the model. - `type BetaResponseInputImage struct{…}` An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - `type BetaResponseInputFile struct{…}` A file input to the model. - `Status BetaResponseFunctionToolCallOutputItemStatus` The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. - `const BetaResponseFunctionToolCallOutputItemStatusInProgress BetaResponseFunctionToolCallOutputItemStatus = "in_progress"` - `const BetaResponseFunctionToolCallOutputItemStatusCompleted BetaResponseFunctionToolCallOutputItemStatus = "completed"` - `const BetaResponseFunctionToolCallOutputItemStatusIncomplete BetaResponseFunctionToolCallOutputItemStatus = "incomplete"` - `Type FunctionCallOutput` The type of the function tool call output. Always `function_call_output`. - `const FunctionCallOutputFunctionCallOutput FunctionCallOutput = "function_call_output"` - `Agent BetaResponseFunctionToolCallOutputItemAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseFunctionToolCallOutputItemCallerUnion` The execution context that produced this tool call. - `type BetaResponseFunctionToolCallOutputItemCallerDirect struct{…}` - `Type Direct` The caller type. Always `direct`. - `const DirectDirect Direct = "direct"` - `type BetaResponseFunctionToolCallOutputItemCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` The caller type. Always `program`. - `const ProgramProgram Program = "program"` - `CreatedBy string` The identifier of the actor that created the item. - `type BetaResponseOutputItemAgentMessage struct{…}` - `ID string` The unique ID of the agent message. - `Author string` The sending agent identity. - `Content []BetaResponseOutputItemAgentMessageContentUnion` Encrypted content sent between agents. - `type BetaResponseInputText struct{…}` A text input to the model. - `type BetaResponseOutputText struct{…}` A text output from the model. - `type BetaResponseOutputItemAgentMessageContentText struct{…}` A text content. - `Text string` - `Type Text` - `const TextText Text = "text"` - `type BetaResponseOutputItemAgentMessageContentSummaryText struct{…}` A summary text from the model. - `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 BetaResponseOutputItemAgentMessageContentReasoningText struct{…}` Reasoning text from the model. - `Text string` The reasoning text from the model. - `Type ReasoningText` The type of the reasoning text. Always `reasoning_text`. - `const ReasoningTextReasoningText ReasoningText = "reasoning_text"` - `type BetaResponseOutputRefusal struct{…}` A refusal from the model. - `type BetaResponseInputImage struct{…}` An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - `type BetaResponseOutputItemAgentMessageContentComputerScreenshot struct{…}` A screenshot of a computer. - `Detail string` The detail level of the screenshot image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. - `const BetaResponseOutputItemAgentMessageContentComputerScreenshotDetailLow BetaResponseOutputItemAgentMessageContentComputerScreenshotDetail = "low"` - `const BetaResponseOutputItemAgentMessageContentComputerScreenshotDetailHigh BetaResponseOutputItemAgentMessageContentComputerScreenshotDetail = "high"` - `const BetaResponseOutputItemAgentMessageContentComputerScreenshotDetailAuto BetaResponseOutputItemAgentMessageContentComputerScreenshotDetail = "auto"` - `const BetaResponseOutputItemAgentMessageContentComputerScreenshotDetailOriginal BetaResponseOutputItemAgentMessageContentComputerScreenshotDetail = "original"` - `FileID string` The identifier of an uploaded file that contains the screenshot. - `ImageURL string` The URL of the screenshot image. - `Type ComputerScreenshot` Specifies the event type. For a computer screenshot, this property is always set to `computer_screenshot`. - `const ComputerScreenshotComputerScreenshot ComputerScreenshot = "computer_screenshot"` - `PromptCacheBreakpoint BetaResponseOutputItemAgentMessageContentComputerScreenshotPromptCacheBreakpoint` Marks the exact end of a reusable prompt prefix. The breakpoint inherits its TTL from the request's `prompt_cache_options.ttl`; the boundary is not rounded to a token block. - `Mode Explicit` The breakpoint mode. Always `explicit`. - `const ExplicitExplicit Explicit = "explicit"` - `type BetaResponseInputFile struct{…}` A file input to the model. - `type BetaResponseOutputItemAgentMessageContentEncryptedContent struct{…}` Opaque encrypted content that Responses API decrypts inside trusted model execution. - `EncryptedContent string` Opaque encrypted content. - `Type EncryptedContent` The type of the input item. Always `encrypted_content`. - `const EncryptedContentEncryptedContent EncryptedContent = "encrypted_content"` - `Recipient string` The destination agent identity. - `Type AgentMessage` The type of the item. Always `agent_message`. - `const AgentMessageAgentMessage AgentMessage = "agent_message"` - `Agent BetaResponseOutputItemAgentMessageAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseOutputItemMultiAgentCall struct{…}` - `ID string` The unique ID of the multi-agent call item. - `Action string` The multi-agent action to execute. - `const BetaResponseOutputItemMultiAgentCallActionSpawnAgent BetaResponseOutputItemMultiAgentCallAction = "spawn_agent"` - `const BetaResponseOutputItemMultiAgentCallActionInterruptAgent BetaResponseOutputItemMultiAgentCallAction = "interrupt_agent"` - `const BetaResponseOutputItemMultiAgentCallActionListAgents BetaResponseOutputItemMultiAgentCallAction = "list_agents"` - `const BetaResponseOutputItemMultiAgentCallActionSendMessage BetaResponseOutputItemMultiAgentCallAction = "send_message"` - `const BetaResponseOutputItemMultiAgentCallActionFollowupTask BetaResponseOutputItemMultiAgentCallAction = "followup_task"` - `const BetaResponseOutputItemMultiAgentCallActionWaitAgent BetaResponseOutputItemMultiAgentCallAction = "wait_agent"` - `Arguments string` The JSON string of arguments generated for the action. - `CallID string` The unique ID linking this call to its output. - `Type MultiAgentCall` The type of the multi-agent call. Always `multi_agent_call`. - `const MultiAgentCallMultiAgentCall MultiAgentCall = "multi_agent_call"` - `Agent BetaResponseOutputItemMultiAgentCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseOutputItemMultiAgentCallOutput struct{…}` - `ID string` The unique ID of the multi-agent call output item. - `Action string` The multi-agent action that produced this result. - `const BetaResponseOutputItemMultiAgentCallOutputActionSpawnAgent BetaResponseOutputItemMultiAgentCallOutputAction = "spawn_agent"` - `const BetaResponseOutputItemMultiAgentCallOutputActionInterruptAgent BetaResponseOutputItemMultiAgentCallOutputAction = "interrupt_agent"` - `const BetaResponseOutputItemMultiAgentCallOutputActionListAgents BetaResponseOutputItemMultiAgentCallOutputAction = "list_agents"` - `const BetaResponseOutputItemMultiAgentCallOutputActionSendMessage BetaResponseOutputItemMultiAgentCallOutputAction = "send_message"` - `const BetaResponseOutputItemMultiAgentCallOutputActionFollowupTask BetaResponseOutputItemMultiAgentCallOutputAction = "followup_task"` - `const BetaResponseOutputItemMultiAgentCallOutputActionWaitAgent BetaResponseOutputItemMultiAgentCallOutputAction = "wait_agent"` - `CallID string` The unique ID of the multi-agent call. - `Output []BetaResponseOutputText` Text output returned by the multi-agent action. - `Annotations []BetaResponseOutputTextAnnotationUnion` The annotations of the text output. - `Text string` The text output from the model. - `Type OutputText` The type of the output text. Always `output_text`. - `Logprobs []BetaResponseOutputTextLogprob` - `Type MultiAgentCallOutput` The type of the multi-agent result. Always `multi_agent_call_output`. - `const MultiAgentCallOutputMultiAgentCallOutput MultiAgentCallOutput = "multi_agent_call_output"` - `Agent BetaResponseOutputItemMultiAgentCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseFunctionWebSearch 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 BetaResponseComputerToolCall 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 BetaResponseComputerToolCallOutputItem 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 BetaResponseComputerToolCallOutputScreenshot` A computer screenshot image used with the computer use tool. - `Status BetaResponseComputerToolCallOutputItemStatus` The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. - `const BetaResponseComputerToolCallOutputItemStatusCompleted BetaResponseComputerToolCallOutputItemStatus = "completed"` - `const BetaResponseComputerToolCallOutputItemStatusIncomplete BetaResponseComputerToolCallOutputItemStatus = "incomplete"` - `const BetaResponseComputerToolCallOutputItemStatusFailed BetaResponseComputerToolCallOutputItemStatus = "failed"` - `const BetaResponseComputerToolCallOutputItemStatusInProgress BetaResponseComputerToolCallOutputItemStatus = "in_progress"` - `Type ComputerCallOutput` The type of the computer tool call output. Always `computer_call_output`. - `const ComputerCallOutputComputerCallOutput ComputerCallOutput = "computer_call_output"` - `AcknowledgedSafetyChecks []BetaResponseComputerToolCallOutputItemAcknowledgedSafetyCheck` 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. - `Agent BetaResponseComputerToolCallOutputItemAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `CreatedBy string` The identifier of the actor that created the item. - `type BetaResponseReasoningItem 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 BetaResponseOutputItemProgram struct{…}` - `ID string` The unique ID of the program item. - `CallID string` The stable call ID of the program item. - `Code string` The JavaScript source executed by programmatic tool calling. - `Fingerprint string` Opaque program replay fingerprint that must be round-tripped. - `Type Program` The type of the item. Always `program`. - `const ProgramProgram Program = "program"` - `Agent BetaResponseOutputItemProgramAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseOutputItemProgramOutput struct{…}` - `ID string` The unique ID of the program output item. - `CallID string` The call ID of the program item. - `Result string` The result produced by the program item. - `Status string` The terminal status of the program output item. - `const BetaResponseOutputItemProgramOutputStatusCompleted BetaResponseOutputItemProgramOutputStatus = "completed"` - `const BetaResponseOutputItemProgramOutputStatusIncomplete BetaResponseOutputItemProgramOutputStatus = "incomplete"` - `Type ProgramOutput` The type of the item. Always `program_output`. - `const ProgramOutputProgramOutput ProgramOutput = "program_output"` - `Agent BetaResponseOutputItemProgramOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseToolSearchCall 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 BetaResponseToolSearchCallExecution` Whether tool search was executed by the server or by the client. - `const BetaResponseToolSearchCallExecutionServer BetaResponseToolSearchCallExecution = "server"` - `const BetaResponseToolSearchCallExecutionClient BetaResponseToolSearchCallExecution = "client"` - `Status BetaResponseToolSearchCallStatus` The status of the tool search call item that was recorded. - `const BetaResponseToolSearchCallStatusInProgress BetaResponseToolSearchCallStatus = "in_progress"` - `const BetaResponseToolSearchCallStatusCompleted BetaResponseToolSearchCallStatus = "completed"` - `const BetaResponseToolSearchCallStatusIncomplete BetaResponseToolSearchCallStatus = "incomplete"` - `Type ToolSearchCall` The type of the item. Always `tool_search_call`. - `const ToolSearchCallToolSearchCall ToolSearchCall = "tool_search_call"` - `Agent BetaResponseToolSearchCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `CreatedBy string` The identifier of the actor that created the item. - `type BetaResponseToolSearchOutputItem 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 BetaResponseToolSearchOutputItemExecution` Whether tool search was executed by the server or by the client. - `const BetaResponseToolSearchOutputItemExecutionServer BetaResponseToolSearchOutputItemExecution = "server"` - `const BetaResponseToolSearchOutputItemExecutionClient BetaResponseToolSearchOutputItemExecution = "client"` - `Status BetaResponseToolSearchOutputItemStatus` The status of the tool search output item that was recorded. - `const BetaResponseToolSearchOutputItemStatusInProgress BetaResponseToolSearchOutputItemStatus = "in_progress"` - `const BetaResponseToolSearchOutputItemStatusCompleted BetaResponseToolSearchOutputItemStatus = "completed"` - `const BetaResponseToolSearchOutputItemStatusIncomplete BetaResponseToolSearchOutputItemStatus = "incomplete"` - `Tools []BetaToolUnion` The loaded tool definitions returned by tool search. - `type BetaFunctionTool 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 BetaFileSearchTool 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 BetaComputerTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaComputerUsePreviewTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaWebSearchTool 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 BetaToolMcp 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 BetaToolCodeInterpreter struct{…}` A tool that runs Python code to help generate a response to a prompt. - `type BetaToolProgrammaticToolCalling struct{…}` - `type BetaToolImageGeneration struct{…}` A tool that generates images using the GPT image models. - `type BetaToolLocalShell struct{…}` A tool that allows the model to execute shell commands in a local environment. - `type BetaFunctionShellTool struct{…}` A tool that allows the model to execute shell commands. - `type BetaCustomTool 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 BetaNamespaceTool struct{…}` Groups function/custom tools under a shared namespace. - `type BetaToolSearchTool struct{…}` Hosted or BYOT tool search configuration for deferred tools. - `type BetaWebSearchPreviewTool 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 BetaApplyPatchTool 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"` - `Agent BetaResponseToolSearchOutputItemAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `CreatedBy string` The identifier of the actor that created the item. - `type BetaResponseOutputItemAdditionalTools struct{…}` - `ID string` The unique ID of the additional tools item. - `Role string` The role that provided the additional tools. - `const BetaResponseOutputItemAdditionalToolsRoleUnknown BetaResponseOutputItemAdditionalToolsRole = "unknown"` - `const BetaResponseOutputItemAdditionalToolsRoleUser BetaResponseOutputItemAdditionalToolsRole = "user"` - `const BetaResponseOutputItemAdditionalToolsRoleAssistant BetaResponseOutputItemAdditionalToolsRole = "assistant"` - `const BetaResponseOutputItemAdditionalToolsRoleSystem BetaResponseOutputItemAdditionalToolsRole = "system"` - `const BetaResponseOutputItemAdditionalToolsRoleCritic BetaResponseOutputItemAdditionalToolsRole = "critic"` - `const BetaResponseOutputItemAdditionalToolsRoleDiscriminator BetaResponseOutputItemAdditionalToolsRole = "discriminator"` - `const BetaResponseOutputItemAdditionalToolsRoleDeveloper BetaResponseOutputItemAdditionalToolsRole = "developer"` - `const BetaResponseOutputItemAdditionalToolsRoleTool BetaResponseOutputItemAdditionalToolsRole = "tool"` - `Tools []BetaToolUnion` The additional tool definitions made available at this item. - `type BetaFunctionTool 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 BetaFileSearchTool 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 BetaComputerTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaComputerUsePreviewTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaWebSearchTool 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 BetaToolMcp 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 BetaToolCodeInterpreter struct{…}` A tool that runs Python code to help generate a response to a prompt. - `type BetaToolProgrammaticToolCalling struct{…}` - `type BetaToolImageGeneration struct{…}` A tool that generates images using the GPT image models. - `type BetaToolLocalShell struct{…}` A tool that allows the model to execute shell commands in a local environment. - `type BetaFunctionShellTool struct{…}` A tool that allows the model to execute shell commands. - `type BetaCustomTool 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 BetaNamespaceTool struct{…}` Groups function/custom tools under a shared namespace. - `type BetaToolSearchTool struct{…}` Hosted or BYOT tool search configuration for deferred tools. - `type BetaWebSearchPreviewTool 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 BetaApplyPatchTool 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"` - `Agent BetaResponseOutputItemAdditionalToolsAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseCompactionItem 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"` - `Agent BetaResponseCompactionItemAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `CreatedBy string` The identifier of the actor that created the item. - `type BetaResponseOutputItemImageGenerationCall 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 BetaResponseOutputItemImageGenerationCallStatusInProgress BetaResponseOutputItemImageGenerationCallStatus = "in_progress"` - `const BetaResponseOutputItemImageGenerationCallStatusCompleted BetaResponseOutputItemImageGenerationCallStatus = "completed"` - `const BetaResponseOutputItemImageGenerationCallStatusGenerating BetaResponseOutputItemImageGenerationCallStatus = "generating"` - `const BetaResponseOutputItemImageGenerationCallStatusFailed BetaResponseOutputItemImageGenerationCallStatus = "failed"` - `Type ImageGenerationCall` The type of the image generation call. Always `image_generation_call`. - `const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"` - `Agent BetaResponseOutputItemImageGenerationCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseCodeInterpreterToolCall struct{…}` A tool call to run code. - `type BetaResponseOutputItemLocalShellCall struct{…}` A tool call to run a command on the local shell. - `ID string` The unique ID of the local shell call. - `Action BetaResponseOutputItemLocalShellCallAction` 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 BetaResponseOutputItemLocalShellCallStatusInProgress BetaResponseOutputItemLocalShellCallStatus = "in_progress"` - `const BetaResponseOutputItemLocalShellCallStatusCompleted BetaResponseOutputItemLocalShellCallStatus = "completed"` - `const BetaResponseOutputItemLocalShellCallStatusIncomplete BetaResponseOutputItemLocalShellCallStatus = "incomplete"` - `Type LocalShellCall` The type of the local shell call. Always `local_shell_call`. - `const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"` - `Agent BetaResponseOutputItemLocalShellCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseOutputItemLocalShellCallOutput 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"` - `Agent BetaResponseOutputItemLocalShellCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Status string` The status of the item. One of `in_progress`, `completed`, or `incomplete`. - `const BetaResponseOutputItemLocalShellCallOutputStatusInProgress BetaResponseOutputItemLocalShellCallOutputStatus = "in_progress"` - `const BetaResponseOutputItemLocalShellCallOutputStatusCompleted BetaResponseOutputItemLocalShellCallOutputStatus = "completed"` - `const BetaResponseOutputItemLocalShellCallOutputStatusIncomplete BetaResponseOutputItemLocalShellCallOutputStatus = "incomplete"` - `type BetaResponseFunctionShellToolCall 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 BetaResponseFunctionShellToolCallAction` 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 BetaResponseFunctionShellToolCallEnvironmentUnion` Represents the use of a local environment to perform shell actions. - `type BetaResponseLocalEnvironment struct{…}` Represents the use of a local environment to perform shell actions. - `Type Local` The environment type. Always `local`. - `const LocalLocal Local = "local"` - `type BetaResponseContainerReference struct{…}` Represents a container created with /v1/containers. - `ContainerID string` - `Type ContainerReference` The environment type. Always `container_reference`. - `const ContainerReferenceContainerReference ContainerReference = "container_reference"` - `Status BetaResponseFunctionShellToolCallStatus` The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. - `const BetaResponseFunctionShellToolCallStatusInProgress BetaResponseFunctionShellToolCallStatus = "in_progress"` - `const BetaResponseFunctionShellToolCallStatusCompleted BetaResponseFunctionShellToolCallStatus = "completed"` - `const BetaResponseFunctionShellToolCallStatusIncomplete BetaResponseFunctionShellToolCallStatus = "incomplete"` - `Type ShellCall` The type of the item. Always `shell_call`. - `const ShellCallShellCall ShellCall = "shell_call"` - `Agent BetaResponseFunctionShellToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseFunctionShellToolCallCallerUnion` The execution context that produced this tool call. - `type BetaResponseFunctionShellToolCallCallerDirect struct{…}` - `Type Direct` - `const DirectDirect Direct = "direct"` - `type BetaResponseFunctionShellToolCallCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` - `const ProgramProgram Program = "program"` - `CreatedBy string` The ID of the entity that created this tool call. - `type BetaResponseFunctionShellToolCallOutput 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 []BetaResponseFunctionShellToolCallOutputOutput` An array of shell call output contents - `Outcome BetaResponseFunctionShellToolCallOutputOutputOutcomeUnion` Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk. - `type BetaResponseFunctionShellToolCallOutputOutputOutcomeTimeout struct{…}` Indicates that the shell call exceeded its configured time limit. - `Type Timeout` The outcome type. Always `timeout`. - `const TimeoutTimeout Timeout = "timeout"` - `type BetaResponseFunctionShellToolCallOutputOutputOutcomeExit 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 BetaResponseFunctionShellToolCallOutputStatus` The status of the shell call output. One of `in_progress`, `completed`, or `incomplete`. - `const BetaResponseFunctionShellToolCallOutputStatusInProgress BetaResponseFunctionShellToolCallOutputStatus = "in_progress"` - `const BetaResponseFunctionShellToolCallOutputStatusCompleted BetaResponseFunctionShellToolCallOutputStatus = "completed"` - `const BetaResponseFunctionShellToolCallOutputStatusIncomplete BetaResponseFunctionShellToolCallOutputStatus = "incomplete"` - `Type ShellCallOutput` The type of the shell call output. Always `shell_call_output`. - `const ShellCallOutputShellCallOutput ShellCallOutput = "shell_call_output"` - `Agent BetaResponseFunctionShellToolCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseFunctionShellToolCallOutputCallerUnion` The execution context that produced this tool call. - `type BetaResponseFunctionShellToolCallOutputCallerDirect struct{…}` - `Type Direct` - `const DirectDirect Direct = "direct"` - `type BetaResponseFunctionShellToolCallOutputCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` - `const ProgramProgram Program = "program"` - `CreatedBy string` The identifier of the actor that created the item. - `type BetaResponseApplyPatchToolCall 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 BetaResponseApplyPatchToolCallOperationUnion` One of the create_file, delete_file, or update_file operations applied via apply_patch. - `type BetaResponseApplyPatchToolCallOperationCreateFile 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 BetaResponseApplyPatchToolCallOperationDeleteFile 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 BetaResponseApplyPatchToolCallOperationUpdateFile 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 BetaResponseApplyPatchToolCallStatus` The status of the apply patch tool call. One of `in_progress` or `completed`. - `const BetaResponseApplyPatchToolCallStatusInProgress BetaResponseApplyPatchToolCallStatus = "in_progress"` - `const BetaResponseApplyPatchToolCallStatusCompleted BetaResponseApplyPatchToolCallStatus = "completed"` - `Type ApplyPatchCall` The type of the item. Always `apply_patch_call`. - `const ApplyPatchCallApplyPatchCall ApplyPatchCall = "apply_patch_call"` - `Agent BetaResponseApplyPatchToolCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseApplyPatchToolCallCallerUnion` The execution context that produced this tool call. - `type BetaResponseApplyPatchToolCallCallerDirect struct{…}` - `Type Direct` - `const DirectDirect Direct = "direct"` - `type BetaResponseApplyPatchToolCallCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` - `const ProgramProgram Program = "program"` - `CreatedBy string` The ID of the entity that created this tool call. - `type BetaResponseApplyPatchToolCallOutput 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 BetaResponseApplyPatchToolCallOutputStatus` The status of the apply patch tool call output. One of `completed` or `failed`. - `const BetaResponseApplyPatchToolCallOutputStatusCompleted BetaResponseApplyPatchToolCallOutputStatus = "completed"` - `const BetaResponseApplyPatchToolCallOutputStatusFailed BetaResponseApplyPatchToolCallOutputStatus = "failed"` - `Type ApplyPatchCallOutput` The type of the item. Always `apply_patch_call_output`. - `const ApplyPatchCallOutputApplyPatchCallOutput ApplyPatchCallOutput = "apply_patch_call_output"` - `Agent BetaResponseApplyPatchToolCallOutputAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Caller BetaResponseApplyPatchToolCallOutputCallerUnion` The execution context that produced this tool call. - `type BetaResponseApplyPatchToolCallOutputCallerDirect struct{…}` - `Type Direct` - `const DirectDirect Direct = "direct"` - `type BetaResponseApplyPatchToolCallOutputCallerProgram struct{…}` - `CallerID string` The call ID of the program item that produced this tool call. - `Type Program` - `const ProgramProgram Program = "program"` - `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 BetaResponseOutputItemMcpCall 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"` - `Agent BetaResponseOutputItemMcpCallAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `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 BetaResponseOutputItemMcpCallStatusInProgress BetaResponseOutputItemMcpCallStatus = "in_progress"` - `const BetaResponseOutputItemMcpCallStatusCompleted BetaResponseOutputItemMcpCallStatus = "completed"` - `const BetaResponseOutputItemMcpCallStatusIncomplete BetaResponseOutputItemMcpCallStatus = "incomplete"` - `const BetaResponseOutputItemMcpCallStatusCalling BetaResponseOutputItemMcpCallStatus = "calling"` - `const BetaResponseOutputItemMcpCallStatusFailed BetaResponseOutputItemMcpCallStatus = "failed"` - `type BetaResponseOutputItemMcpListTools 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 []BetaResponseOutputItemMcpListToolsTool` 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"` - `Agent BetaResponseOutputItemMcpListToolsAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Error string` Error message if the server could not list tools. - `type BetaResponseOutputItemMcpApprovalRequest 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"` - `Agent BetaResponseOutputItemMcpApprovalRequestAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `type BetaResponseOutputItemMcpApprovalResponse 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"` - `Agent BetaResponseOutputItemMcpApprovalResponseAgent` The agent that produced this item. - `AgentName string` The canonical name of the agent that produced this item. - `Reason string` Optional reason for the decision. - `type BetaResponseCustomToolCall struct{…}` A call to a custom tool created by the model. - `type BetaResponseCustomToolCallOutputItem 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 BetaResponseCustomToolCallOutputItemStatusInProgress BetaResponseCustomToolCallOutputItemStatus = "in_progress"` - `const BetaResponseCustomToolCallOutputItemStatusCompleted BetaResponseCustomToolCallOutputItemStatus = "completed"` - `const BetaResponseCustomToolCallOutputItemStatusIncomplete BetaResponseCustomToolCallOutputItemStatus = "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 BetaResponseToolChoiceUnion` 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 BetaToolChoiceOptions 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 BetaToolChoiceOptionsNone BetaToolChoiceOptions = "none"` - `const BetaToolChoiceOptionsAuto BetaToolChoiceOptions = "auto"` - `const BetaToolChoiceOptionsRequired BetaToolChoiceOptions = "required"` - `type BetaToolChoiceAllowed struct{…}` Constrains the tools available to the model to a pre-defined set. - `Mode BetaToolChoiceAllowedMode` 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 BetaToolChoiceAllowedModeAuto BetaToolChoiceAllowedMode = "auto"` - `const BetaToolChoiceAllowedModeRequired BetaToolChoiceAllowedMode = "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 BetaToolChoiceTypes 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 BetaToolChoiceTypesType` 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 BetaToolChoiceTypesTypeFileSearch BetaToolChoiceTypesType = "file_search"` - `const BetaToolChoiceTypesTypeWebSearchPreview BetaToolChoiceTypesType = "web_search_preview"` - `const BetaToolChoiceTypesTypeComputer BetaToolChoiceTypesType = "computer"` - `const BetaToolChoiceTypesTypeComputerUsePreview BetaToolChoiceTypesType = "computer_use_preview"` - `const BetaToolChoiceTypesTypeComputerUse BetaToolChoiceTypesType = "computer_use"` - `const BetaToolChoiceTypesTypeWebSearchPreview2025_03_11 BetaToolChoiceTypesType = "web_search_preview_2025_03_11"` - `const BetaToolChoiceTypesTypeImageGeneration BetaToolChoiceTypesType = "image_generation"` - `const BetaToolChoiceTypesTypeCodeInterpreter BetaToolChoiceTypesType = "code_interpreter"` - `type BetaToolChoiceFunction 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 BetaToolChoiceMcp 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 BetaToolChoiceCustom 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 BetaResponseToolChoiceBetaSpecificProgrammaticToolCallingParam struct{…}` - `Type ProgrammaticToolCalling` The tool to call. Always `programmatic_tool_calling`. - `const ProgrammaticToolCallingProgrammaticToolCalling ProgrammaticToolCalling = "programmatic_tool_calling"` - `type BetaToolChoiceApplyPatch 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 BetaToolChoiceShell 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 []BetaToolUnion` 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 BetaFunctionTool 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 BetaFileSearchTool 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 BetaComputerTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaComputerUsePreviewTool struct{…}` A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). - `type BetaWebSearchTool 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 BetaToolMcp 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 BetaToolCodeInterpreter struct{…}` A tool that runs Python code to help generate a response to a prompt. - `type BetaToolProgrammaticToolCalling struct{…}` - `type BetaToolImageGeneration struct{…}` A tool that generates images using the GPT image models. - `type BetaToolLocalShell struct{…}` A tool that allows the model to execute shell commands in a local environment. - `type BetaFunctionShellTool struct{…}` A tool that allows the model to execute shell commands. - `type BetaCustomTool 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 BetaNamespaceTool struct{…}` Groups function/custom tools under a shared namespace. - `type BetaToolSearchTool struct{…}` Hosted or BYOT tool search configuration for deferred tools. - `type BetaWebSearchPreviewTool 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 BetaApplyPatchTool 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 BetaResponseConversation` 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 BetaResponseModeration` Moderation results for the response input and output, if moderated completions were requested. - `Input BetaResponseModerationInputUnion` Moderation for the response input. - `type BetaResponseModerationInputModerationResult 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 BetaResponseModerationInputModerationResultCategoryAppliedInputTypeText BetaResponseModerationInputModerationResultCategoryAppliedInputType = "text"` - `const BetaResponseModerationInputModerationResultCategoryAppliedInputTypeImage BetaResponseModerationInputModerationResultCategoryAppliedInputType = "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 BetaResponseModerationInputError 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 BetaResponseModerationOutputUnion` Moderation for the response output. - `type BetaResponseModerationOutputModerationResult 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 BetaResponseModerationOutputModerationResultCategoryAppliedInputTypeText BetaResponseModerationOutputModerationResultCategoryAppliedInputType = "text"` - `const BetaResponseModerationOutputModerationResultCategoryAppliedInputTypeImage BetaResponseModerationOutputModerationResultCategoryAppliedInputType = "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 BetaResponseModerationOutputError 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 BetaResponsePrompt` 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, BetaResponsePromptVariableUnion]` 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 BetaResponseInputText struct{…}` A text input to the model. - `type BetaResponseInputImage struct{…}` An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). - `type BetaResponseInputFile 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). - `PromptCacheOptions BetaResponsePromptCacheOptions` The prompt-caching options that were applied to the response. Supported for `gpt-5.6` and later models. - `Mode string` Whether implicit prompt-cache breakpoints were enabled. - `const BetaResponsePromptCacheOptionsModeImplicit BetaResponsePromptCacheOptionsMode = "implicit"` - `const BetaResponsePromptCacheOptionsModeExplicit BetaResponsePromptCacheOptionsMode = "explicit"` - `Ttl string` The minimum lifetime applied to each cache breakpoint. - `const BetaResponsePromptCacheOptionsTtl30m BetaResponsePromptCacheOptionsTtl = "30m"` - `PromptCacheRetention BetaResponsePromptCacheRetention` Deprecated. Use `prompt_cache_options.ttl` instead. 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). This field expresses a maximum retention policy, while `prompt_cache_options.ttl` expresses a minimum cache lifetime. The two fields are independent and do not interact. 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 BetaResponsePromptCacheRetentionInMemory BetaResponsePromptCacheRetention = "in_memory"` - `const BetaResponsePromptCacheRetention24h BetaResponsePromptCacheRetention = "24h"` - `Reasoning BetaResponseReasoning` **gpt-5 and o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning). - `Context string` Controls which reasoning items are rendered back to the model on later turns. If omitted or set to `auto`, the model determines the context mode. The `gpt-5.6` model family defaults to `all_turns`; earlier models default to `current_turn`. When returned on a response, this is the effective reasoning context mode used for the response. - `const BetaResponseReasoningContextAuto BetaResponseReasoningContext = "auto"` - `const BetaResponseReasoningContextCurrentTurn BetaResponseReasoningContext = "current_turn"` - `const BetaResponseReasoningContextAllTurns BetaResponseReasoningContext = "all_turns"` - `Effort string` Constrains effort on reasoning for reasoning models. Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, and `max`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Not all reasoning models support every value. See the [reasoning guide](https://platform.openai.com/docs/guides/reasoning) for model-specific support. - `const BetaResponseReasoningEffortNone BetaResponseReasoningEffort = "none"` - `const BetaResponseReasoningEffortMinimal BetaResponseReasoningEffort = "minimal"` - `const BetaResponseReasoningEffortLow BetaResponseReasoningEffort = "low"` - `const BetaResponseReasoningEffortMedium BetaResponseReasoningEffort = "medium"` - `const BetaResponseReasoningEffortHigh BetaResponseReasoningEffort = "high"` - `const BetaResponseReasoningEffortXhigh BetaResponseReasoningEffort = "xhigh"` - `const BetaResponseReasoningEffortMax BetaResponseReasoningEffort = "max"` - `GenerateSummary string` **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 BetaResponseReasoningGenerateSummaryAuto BetaResponseReasoningGenerateSummary = "auto"` - `const BetaResponseReasoningGenerateSummaryConcise BetaResponseReasoningGenerateSummary = "concise"` - `const BetaResponseReasoningGenerateSummaryDetailed BetaResponseReasoningGenerateSummary = "detailed"` - `Mode string` Controls the reasoning execution mode for the request. When returned on a response, this is the effective execution mode. - `string` - `string` - `const BetaResponseReasoningModeStandard BetaResponseReasoningMode = "standard"` - `const BetaResponseReasoningModePro BetaResponseReasoningMode = "pro"` - `Summary string` 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 BetaResponseReasoningSummaryAuto BetaResponseReasoningSummary = "auto"` - `const BetaResponseReasoningSummaryConcise BetaResponseReasoningSummary = "concise"` - `const BetaResponseReasoningSummaryDetailed BetaResponseReasoningSummary = "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 BetaResponseServiceTier` 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 BetaResponseServiceTierAuto BetaResponseServiceTier = "auto"` - `const BetaResponseServiceTierDefault BetaResponseServiceTier = "default"` - `const BetaResponseServiceTierFlex BetaResponseServiceTier = "flex"` - `const BetaResponseServiceTierScale BetaResponseServiceTier = "scale"` - `const BetaResponseServiceTierPriority BetaResponseServiceTier = "priority"` - `Status BetaResponseStatus` The status of the response generation. One of `completed`, `failed`, `in_progress`, `cancelled`, `queued`, or `incomplete`. - `const BetaResponseStatusCompleted BetaResponseStatus = "completed"` - `const BetaResponseStatusFailed BetaResponseStatus = "failed"` - `const BetaResponseStatusInProgress BetaResponseStatus = "in_progress"` - `const BetaResponseStatusCancelled BetaResponseStatus = "cancelled"` - `const BetaResponseStatusQueued BetaResponseStatus = "queued"` - `const BetaResponseStatusIncomplete BetaResponseStatus = "incomplete"` - `Text BetaResponseTextConfig` 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 BetaResponseFormatTextConfigUnion` 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 BetaResponseFormatTextConfigText 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 BetaResponseFormatTextJSONSchemaConfig 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 BetaResponseFormatTextConfigJSONObject 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 BetaResponseTextConfigVerbosity` 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`. The default is `medium`. - `const BetaResponseTextConfigVerbosityLow BetaResponseTextConfigVerbosity = "low"` - `const BetaResponseTextConfigVerbosityMedium BetaResponseTextConfigVerbosity = "medium"` - `const BetaResponseTextConfigVerbosityHigh BetaResponseTextConfigVerbosity = "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 BetaResponseTruncation` 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 BetaResponseTruncationAuto BetaResponseTruncation = "auto"` - `const BetaResponseTruncationDisabled BetaResponseTruncation = "disabled"` - `Usage BetaResponseUsage` 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 BetaResponseUsageInputTokensDetails` A detailed breakdown of the input tokens. - `CacheWriteTokens int64` The number of input tokens that were written to the cache. - `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 BetaResponseUsageOutputTokensDetails` 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" ) func main() { client := openai.NewClient( option.WithAPIKey("My API Key"), ) betaResponse, err := client.Beta.Responses.Cancel( context.TODO(), "resp_677efb5139a88190b512bc3fef8e535d", openai.BetaResponseCancelParams{ }, ) if err != nil { panic(err.Error()) } fmt.Printf("%+v\n", betaResponse.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", "agent": { "agent_name": "agent_name" }, "phase": "commentary" } ], "parallel_tool_calls": true, "temperature": 1, "tool_choice": "none", "tools": [ { "name": "name", "parameters": { "foo": "bar" }, "strict": true, "type": "function", "allowed_callers": [ "direct" ], "defer_loading": true, "description": "description", "output_schema": { "foo": "bar" } } ], "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_options": { "mode": "implicit", "ttl": "30m" }, "prompt_cache_retention": "in_memory", "reasoning": { "context": "auto", "effort": "none", "generate_summary": "auto", "mode": "standard", "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": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 0, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 0 }, "user": "user-1234" } ```