Compact a response
client.Responses.Compact(ctx, body) (*CompactedResponse, error)
post /responses/compact
Compact a conversation. Returns a compacted response object.
Learn when and how to compact long-running conversations in the conversation state guide. For ZDR-compatible compaction details, see Compaction (advanced).
Parameters
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body ResponseCompactParams-
Model param.Field[ResponseCompactParamsModel]Model ID used to generate the response, like
gpt-5oro3. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the model guide to browse and compare available models.-
type ResponseCompactParamsModel stringModel ID used to generate the response, like
gpt-5oro3. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the model guide to browse and compare available models.-
const ResponseCompactParamsModelGPT5_4 ResponseCompactParamsModel = "gpt-5.4" -
const ResponseCompactParamsModelGPT5_4Mini ResponseCompactParamsModel = "gpt-5.4-mini" -
const ResponseCompactParamsModelGPT5_4Nano ResponseCompactParamsModel = "gpt-5.4-nano" -
const ResponseCompactParamsModelGPT5_4Mini2026_03_17 ResponseCompactParamsModel = "gpt-5.4-mini-2026-03-17" -
const ResponseCompactParamsModelGPT5_4Nano2026_03_17 ResponseCompactParamsModel = "gpt-5.4-nano-2026-03-17" -
const ResponseCompactParamsModelGPT5_3ChatLatest ResponseCompactParamsModel = "gpt-5.3-chat-latest" -
const ResponseCompactParamsModelGPT5_2 ResponseCompactParamsModel = "gpt-5.2" -
const ResponseCompactParamsModelGPT5_2_2025_12_11 ResponseCompactParamsModel = "gpt-5.2-2025-12-11" -
const ResponseCompactParamsModelGPT5_2ChatLatest ResponseCompactParamsModel = "gpt-5.2-chat-latest" -
const ResponseCompactParamsModelGPT5_2Pro ResponseCompactParamsModel = "gpt-5.2-pro" -
const ResponseCompactParamsModelGPT5_2Pro2025_12_11 ResponseCompactParamsModel = "gpt-5.2-pro-2025-12-11" -
const ResponseCompactParamsModelGPT5_1 ResponseCompactParamsModel = "gpt-5.1" -
const ResponseCompactParamsModelGPT5_1_2025_11_13 ResponseCompactParamsModel = "gpt-5.1-2025-11-13" -
const ResponseCompactParamsModelGPT5_1Codex ResponseCompactParamsModel = "gpt-5.1-codex" -
const ResponseCompactParamsModelGPT5_1Mini ResponseCompactParamsModel = "gpt-5.1-mini" -
const ResponseCompactParamsModelGPT5_1ChatLatest ResponseCompactParamsModel = "gpt-5.1-chat-latest" -
const ResponseCompactParamsModelGPT5 ResponseCompactParamsModel = "gpt-5" -
const ResponseCompactParamsModelGPT5Mini ResponseCompactParamsModel = "gpt-5-mini" -
const ResponseCompactParamsModelGPT5Nano ResponseCompactParamsModel = "gpt-5-nano" -
const ResponseCompactParamsModelGPT5_2025_08_07 ResponseCompactParamsModel = "gpt-5-2025-08-07" -
const ResponseCompactParamsModelGPT5Mini2025_08_07 ResponseCompactParamsModel = "gpt-5-mini-2025-08-07" -
const ResponseCompactParamsModelGPT5Nano2025_08_07 ResponseCompactParamsModel = "gpt-5-nano-2025-08-07" -
const ResponseCompactParamsModelGPT5ChatLatest ResponseCompactParamsModel = "gpt-5-chat-latest" -
const ResponseCompactParamsModelGPT4_1 ResponseCompactParamsModel = "gpt-4.1" -
const ResponseCompactParamsModelGPT4_1Mini ResponseCompactParamsModel = "gpt-4.1-mini" -
const ResponseCompactParamsModelGPT4_1Nano ResponseCompactParamsModel = "gpt-4.1-nano" -
const ResponseCompactParamsModelGPT4_1_2025_04_14 ResponseCompactParamsModel = "gpt-4.1-2025-04-14" -
const ResponseCompactParamsModelGPT4_1Mini2025_04_14 ResponseCompactParamsModel = "gpt-4.1-mini-2025-04-14" -
const ResponseCompactParamsModelGPT4_1Nano2025_04_14 ResponseCompactParamsModel = "gpt-4.1-nano-2025-04-14" -
const ResponseCompactParamsModelO4Mini ResponseCompactParamsModel = "o4-mini" -
const ResponseCompactParamsModelO4Mini2025_04_16 ResponseCompactParamsModel = "o4-mini-2025-04-16" -
const ResponseCompactParamsModelO3 ResponseCompactParamsModel = "o3" -
const ResponseCompactParamsModelO3_2025_04_16 ResponseCompactParamsModel = "o3-2025-04-16" -
const ResponseCompactParamsModelO3Mini ResponseCompactParamsModel = "o3-mini" -
const ResponseCompactParamsModelO3Mini2025_01_31 ResponseCompactParamsModel = "o3-mini-2025-01-31" -
const ResponseCompactParamsModelO1 ResponseCompactParamsModel = "o1" -
const ResponseCompactParamsModelO1_2024_12_17 ResponseCompactParamsModel = "o1-2024-12-17" -
const ResponseCompactParamsModelO1Preview ResponseCompactParamsModel = "o1-preview" -
const ResponseCompactParamsModelO1Preview2024_09_12 ResponseCompactParamsModel = "o1-preview-2024-09-12" -
const ResponseCompactParamsModelO1Mini ResponseCompactParamsModel = "o1-mini" -
const ResponseCompactParamsModelO1Mini2024_09_12 ResponseCompactParamsModel = "o1-mini-2024-09-12" -
const ResponseCompactParamsModelGPT4o ResponseCompactParamsModel = "gpt-4o" -
const ResponseCompactParamsModelGPT4o2024_11_20 ResponseCompactParamsModel = "gpt-4o-2024-11-20" -
const ResponseCompactParamsModelGPT4o2024_08_06 ResponseCompactParamsModel = "gpt-4o-2024-08-06" -
const ResponseCompactParamsModelGPT4o2024_05_13 ResponseCompactParamsModel = "gpt-4o-2024-05-13" -
const ResponseCompactParamsModelGPT4oAudioPreview ResponseCompactParamsModel = "gpt-4o-audio-preview" -
const ResponseCompactParamsModelGPT4oAudioPreview2024_10_01 ResponseCompactParamsModel = "gpt-4o-audio-preview-2024-10-01" -
const ResponseCompactParamsModelGPT4oAudioPreview2024_12_17 ResponseCompactParamsModel = "gpt-4o-audio-preview-2024-12-17" -
const ResponseCompactParamsModelGPT4oAudioPreview2025_06_03 ResponseCompactParamsModel = "gpt-4o-audio-preview-2025-06-03" -
const ResponseCompactParamsModelGPT4oMiniAudioPreview ResponseCompactParamsModel = "gpt-4o-mini-audio-preview" -
const ResponseCompactParamsModelGPT4oMiniAudioPreview2024_12_17 ResponseCompactParamsModel = "gpt-4o-mini-audio-preview-2024-12-17" -
const ResponseCompactParamsModelGPT4oSearchPreview ResponseCompactParamsModel = "gpt-4o-search-preview" -
const ResponseCompactParamsModelGPT4oMiniSearchPreview ResponseCompactParamsModel = "gpt-4o-mini-search-preview" -
const ResponseCompactParamsModelGPT4oSearchPreview2025_03_11 ResponseCompactParamsModel = "gpt-4o-search-preview-2025-03-11" -
const ResponseCompactParamsModelGPT4oMiniSearchPreview2025_03_11 ResponseCompactParamsModel = "gpt-4o-mini-search-preview-2025-03-11" -
const ResponseCompactParamsModelChatgpt4oLatest ResponseCompactParamsModel = "chatgpt-4o-latest" -
const ResponseCompactParamsModelCodexMiniLatest ResponseCompactParamsModel = "codex-mini-latest" -
const ResponseCompactParamsModelGPT4oMini ResponseCompactParamsModel = "gpt-4o-mini" -
const ResponseCompactParamsModelGPT4oMini2024_07_18 ResponseCompactParamsModel = "gpt-4o-mini-2024-07-18" -
const ResponseCompactParamsModelGPT4Turbo ResponseCompactParamsModel = "gpt-4-turbo" -
const ResponseCompactParamsModelGPT4Turbo2024_04_09 ResponseCompactParamsModel = "gpt-4-turbo-2024-04-09" -
const ResponseCompactParamsModelGPT4_0125Preview ResponseCompactParamsModel = "gpt-4-0125-preview" -
const ResponseCompactParamsModelGPT4TurboPreview ResponseCompactParamsModel = "gpt-4-turbo-preview" -
const ResponseCompactParamsModelGPT4_1106Preview ResponseCompactParamsModel = "gpt-4-1106-preview" -
const ResponseCompactParamsModelGPT4VisionPreview ResponseCompactParamsModel = "gpt-4-vision-preview" -
const ResponseCompactParamsModelGPT4 ResponseCompactParamsModel = "gpt-4" -
const ResponseCompactParamsModelGPT4_0314 ResponseCompactParamsModel = "gpt-4-0314" -
const ResponseCompactParamsModelGPT4_0613 ResponseCompactParamsModel = "gpt-4-0613" -
const ResponseCompactParamsModelGPT4_32k ResponseCompactParamsModel = "gpt-4-32k" -
const ResponseCompactParamsModelGPT4_32k0314 ResponseCompactParamsModel = "gpt-4-32k-0314" -
const ResponseCompactParamsModelGPT4_32k0613 ResponseCompactParamsModel = "gpt-4-32k-0613" -
const ResponseCompactParamsModelGPT3_5Turbo ResponseCompactParamsModel = "gpt-3.5-turbo" -
const ResponseCompactParamsModelGPT3_5Turbo16k ResponseCompactParamsModel = "gpt-3.5-turbo-16k" -
const ResponseCompactParamsModelGPT3_5Turbo0301 ResponseCompactParamsModel = "gpt-3.5-turbo-0301" -
const ResponseCompactParamsModelGPT3_5Turbo0613 ResponseCompactParamsModel = "gpt-3.5-turbo-0613" -
const ResponseCompactParamsModelGPT3_5Turbo1106 ResponseCompactParamsModel = "gpt-3.5-turbo-1106" -
const ResponseCompactParamsModelGPT3_5Turbo0125 ResponseCompactParamsModel = "gpt-3.5-turbo-0125" -
const ResponseCompactParamsModelGPT3_5Turbo16k0613 ResponseCompactParamsModel = "gpt-3.5-turbo-16k-0613" -
const ResponseCompactParamsModelO1Pro ResponseCompactParamsModel = "o1-pro" -
const ResponseCompactParamsModelO1Pro2025_03_19 ResponseCompactParamsModel = "o1-pro-2025-03-19" -
const ResponseCompactParamsModelO3Pro ResponseCompactParamsModel = "o3-pro" -
const ResponseCompactParamsModelO3Pro2025_06_10 ResponseCompactParamsModel = "o3-pro-2025-06-10" -
const ResponseCompactParamsModelO3DeepResearch ResponseCompactParamsModel = "o3-deep-research" -
const ResponseCompactParamsModelO3DeepResearch2025_06_26 ResponseCompactParamsModel = "o3-deep-research-2025-06-26" -
const ResponseCompactParamsModelO4MiniDeepResearch ResponseCompactParamsModel = "o4-mini-deep-research" -
const ResponseCompactParamsModelO4MiniDeepResearch2025_06_26 ResponseCompactParamsModel = "o4-mini-deep-research-2025-06-26" -
const ResponseCompactParamsModelComputerUsePreview ResponseCompactParamsModel = "computer-use-preview" -
const ResponseCompactParamsModelComputerUsePreview2025_03_11 ResponseCompactParamsModel = "computer-use-preview-2025-03-11" -
const ResponseCompactParamsModelGPT5Codex ResponseCompactParamsModel = "gpt-5-codex" -
const ResponseCompactParamsModelGPT5Pro ResponseCompactParamsModel = "gpt-5-pro" -
const ResponseCompactParamsModelGPT5Pro2025_10_06 ResponseCompactParamsModel = "gpt-5-pro-2025-10-06" -
const ResponseCompactParamsModelGPT5_1CodexMax ResponseCompactParamsModel = "gpt-5.1-codex-max"
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string
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Input param.Field[ResponseCompactParamsInputUnion]Text, image, or file inputs to the model, used to generate a response
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string -
type ResponseCompactParamsInputArray []ResponseInputItemUnionA list of one or many input items to the model, containing different content types.
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type EasyInputMessage struct{…}A message input to the model with a role indicating instruction following hierarchy. Instructions given with the
developerorsystemrole take precedence over instructions given with theuserrole. Messages with theassistantrole are presumed to have been generated by the model in previous interactions.-
Content EasyInputMessageContentUnionText, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.
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string -
type ResponseInputMessageContentList []ResponseInputContentUnionA list of one or many input items to the model, containing different content types.
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type ResponseInputText struct{…}A text input to the model.
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Text stringThe text input to the model.
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Type InputTextThe type of the input item. Always
input_text.const InputTextInputText InputText = "input_text"
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type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
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Detail ResponseInputImageDetailThe detail level of the image to be sent to the model. One of
high,low,auto, ororiginal. Defaults toauto.-
const ResponseInputImageDetailLow ResponseInputImageDetail = "low" -
const ResponseInputImageDetailHigh ResponseInputImageDetail = "high" -
const ResponseInputImageDetailAuto ResponseInputImageDetail = "auto" -
const ResponseInputImageDetailOriginal ResponseInputImageDetail = "original"
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Type InputImageThe type of the input item. Always
input_image.const InputImageInputImage InputImage = "input_image"
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FileID stringThe ID of the file to be sent to the model.
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ImageURL stringThe URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.
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type ResponseInputFile struct{…}A file input to the model.
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Type InputFileThe type of the input item. Always
input_file.const InputFileInputFile InputFile = "input_file"
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Detail ResponseInputFileDetailThe detail level of the file to be sent to the model. Use
lowfor the default rendering behavior, orhighto render the file at higher quality. Defaults tolow.-
const ResponseInputFileDetailLow ResponseInputFileDetail = "low" -
const ResponseInputFileDetailHigh ResponseInputFileDetail = "high"
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FileData stringThe content of the file to be sent to the model.
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FileID stringThe ID of the file to be sent to the model.
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FileURL stringThe URL of the file to be sent to the model.
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Filename stringThe name of the file to be sent to the model.
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Role EasyInputMessageRoleThe role of the message input. One of
user,assistant,system, ordeveloper.-
const EasyInputMessageRoleUser EasyInputMessageRole = "user" -
const EasyInputMessageRoleAssistant EasyInputMessageRole = "assistant" -
const EasyInputMessageRoleSystem EasyInputMessageRole = "system" -
const EasyInputMessageRoleDeveloper EasyInputMessageRole = "developer"
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Phase EasyInputMessagePhaseLabels an
assistantmessage as intermediate commentary (commentary) or the final answer (final_answer). For models likegpt-5.3-codexand beyond, when sending follow-up requests, preserve and resend phase on all assistant messages — dropping it can degrade performance. Not used for user messages.-
const EasyInputMessagePhaseCommentary EasyInputMessagePhase = "commentary" -
const EasyInputMessagePhaseFinalAnswer EasyInputMessagePhase = "final_answer"
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Type EasyInputMessageTypeThe type of the message input. Always
message.const EasyInputMessageTypeMessage EasyInputMessageType = "message"
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type ResponseInputItemMessage struct{…}A message input to the model with a role indicating instruction following hierarchy. Instructions given with the
developerorsystemrole take precedence over instructions given with theuserrole.-
Content ResponseInputMessageContentListA list of one or many input items to the model, containing different content types.
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Role stringThe role of the message input. One of
user,system, ordeveloper.-
const ResponseInputItemMessageRoleUser ResponseInputItemMessageRole = "user" -
const ResponseInputItemMessageRoleSystem ResponseInputItemMessageRole = "system" -
const ResponseInputItemMessageRoleDeveloper ResponseInputItemMessageRole = "developer"
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Status stringThe status of item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseInputItemMessageStatusInProgress ResponseInputItemMessageStatus = "in_progress" -
const ResponseInputItemMessageStatusCompleted ResponseInputItemMessageStatus = "completed" -
const ResponseInputItemMessageStatusIncomplete ResponseInputItemMessageStatus = "incomplete"
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Type stringThe type of the message input. Always set to
message.const ResponseInputItemMessageTypeMessage ResponseInputItemMessageType = "message"
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type ResponseOutputMessage struct{…}An output message from the model.
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ID stringThe unique ID of the output message.
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Content []ResponseOutputMessageContentUnionThe content of the output message.
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type ResponseOutputText struct{…}A text output from the model.
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Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
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type ResponseOutputTextAnnotationFileCitation struct{…}A citation to a file.
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FileID stringThe ID of the file.
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Filename stringThe filename of the file cited.
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Index int64The index of the file in the list of files.
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Type FileCitationThe type of the file citation. Always
file_citation.const FileCitationFileCitation FileCitation = "file_citation"
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type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
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EndIndex int64The index of the last character of the URL citation in the message.
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StartIndex int64The index of the first character of the URL citation in the message.
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Title stringThe title of the web resource.
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Type URLCitationThe type of the URL citation. Always
url_citation.const URLCitationURLCitation URLCitation = "url_citation"
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URL stringThe URL of the web resource.
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type ResponseOutputTextAnnotationContainerFileCitation struct{…}A citation for a container file used to generate a model response.
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ContainerID stringThe ID of the container file.
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EndIndex int64The index of the last character of the container file citation in the message.
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FileID stringThe ID of the file.
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Filename stringThe filename of the container file cited.
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StartIndex int64The index of the first character of the container file citation in the message.
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Type ContainerFileCitationThe type of the container file citation. Always
container_file_citation.const ContainerFileCitationContainerFileCitation ContainerFileCitation = "container_file_citation"
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type ResponseOutputTextAnnotationFilePath struct{…}A path to a file.
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FileID stringThe ID of the file.
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Index int64The index of the file in the list of files.
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Type FilePathThe type of the file path. Always
file_path.const FilePathFilePath FilePath = "file_path"
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Text stringThe text output from the model.
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Type OutputTextThe type of the output text. Always
output_text.const OutputTextOutputText OutputText = "output_text"
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Logprobs []ResponseOutputTextLogprob-
Token string -
Bytes []int64 -
Logprob float64 -
TopLogprobs []ResponseOutputTextLogprobTopLogprob-
Token string -
Bytes []int64 -
Logprob float64
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type ResponseOutputRefusal struct{…}A refusal from the model.
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Refusal stringThe refusal explanation from the model.
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Type RefusalThe type of the refusal. Always
refusal.const RefusalRefusal Refusal = "refusal"
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Role AssistantThe role of the output message. Always
assistant.const AssistantAssistant Assistant = "assistant"
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Status ResponseOutputMessageStatusThe status of the message input. One of
in_progress,completed, orincomplete. Populated when input items are returned via API.-
const ResponseOutputMessageStatusInProgress ResponseOutputMessageStatus = "in_progress" -
const ResponseOutputMessageStatusCompleted ResponseOutputMessageStatus = "completed" -
const ResponseOutputMessageStatusIncomplete ResponseOutputMessageStatus = "incomplete"
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Type MessageThe type of the output message. Always
message.const MessageMessage Message = "message"
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Phase ResponseOutputMessagePhaseLabels an
assistantmessage as intermediate commentary (commentary) or the final answer (final_answer). For models likegpt-5.3-codexand beyond, when sending follow-up requests, preserve and resend phase on all assistant messages — dropping it can degrade performance. Not used for user messages.-
const ResponseOutputMessagePhaseCommentary ResponseOutputMessagePhase = "commentary" -
const ResponseOutputMessagePhaseFinalAnswer ResponseOutputMessagePhase = "final_answer"
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type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the file search guide for more information.
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ID stringThe unique ID of the file search tool call.
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Queries []stringThe queries used to search for files.
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Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of
in_progress,searching,incompleteorfailed,-
const ResponseFileSearchToolCallStatusInProgress ResponseFileSearchToolCallStatus = "in_progress" -
const ResponseFileSearchToolCallStatusSearching ResponseFileSearchToolCallStatus = "searching" -
const ResponseFileSearchToolCallStatusCompleted ResponseFileSearchToolCallStatus = "completed" -
const ResponseFileSearchToolCallStatusIncomplete ResponseFileSearchToolCallStatus = "incomplete" -
const ResponseFileSearchToolCallStatusFailed ResponseFileSearchToolCallStatus = "failed"
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Type FileSearchCallThe type of the file search tool call. Always
file_search_call.const FileSearchCallFileSearchCall FileSearchCall = "file_search_call"
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Results []ResponseFileSearchToolCallResultThe results of the file search tool call.
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Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters, booleans, or numbers.
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string -
float64 -
bool
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FileID stringThe unique ID of the file.
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Filename stringThe name of the file.
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Score float64The relevance score of the file - a value between 0 and 1.
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Text stringThe text that was retrieved from the file.
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type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the computer use guide for more information.
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ID stringThe unique ID of the computer call.
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CallID stringAn identifier used when responding to the tool call with output.
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PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
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ID stringThe ID of the pending safety check.
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Code stringThe type of the pending safety check.
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Message stringDetails about the pending safety check.
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Status ResponseComputerToolCallStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseComputerToolCallStatusInProgress ResponseComputerToolCallStatus = "in_progress" -
const ResponseComputerToolCallStatusCompleted ResponseComputerToolCallStatus = "completed" -
const ResponseComputerToolCallStatusIncomplete ResponseComputerToolCallStatus = "incomplete"
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Type ResponseComputerToolCallTypeThe type of the computer call. Always
computer_call.const ResponseComputerToolCallTypeComputerCall ResponseComputerToolCallType = "computer_call"
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Action ResponseComputerToolCallActionUnionA click action.
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type ResponseComputerToolCallActionClick struct{…}A click action.
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Button stringIndicates which mouse button was pressed during the click. One of
left,right,wheel,back, orforward.-
const ResponseComputerToolCallActionClickButtonLeft ResponseComputerToolCallActionClickButton = "left" -
const ResponseComputerToolCallActionClickButtonRight ResponseComputerToolCallActionClickButton = "right" -
const ResponseComputerToolCallActionClickButtonWheel ResponseComputerToolCallActionClickButton = "wheel" -
const ResponseComputerToolCallActionClickButtonBack ResponseComputerToolCallActionClickButton = "back" -
const ResponseComputerToolCallActionClickButtonForward ResponseComputerToolCallActionClickButton = "forward"
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Type ClickSpecifies the event type. For a click action, this property is always
click.const ClickClick Click = "click"
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X int64The x-coordinate where the click occurred.
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Y int64The y-coordinate where the click occurred.
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Keys []stringThe keys being held while clicking.
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type ResponseComputerToolCallActionDoubleClick struct{…}A double click action.
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Keys []stringThe keys being held while double-clicking.
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Type DoubleClickSpecifies the event type. For a double click action, this property is always set to
double_click.const DoubleClickDoubleClick DoubleClick = "double_click"
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X int64The x-coordinate where the double click occurred.
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Y int64The y-coordinate where the double click occurred.
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type ResponseComputerToolCallActionDrag struct{…}A drag action.
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Path []ResponseComputerToolCallActionDragPathAn 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 int64The x-coordinate.
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Y int64The y-coordinate.
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Type DragSpecifies the event type. For a drag action, this property is always set to
drag.const DragDrag Drag = "drag"
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Keys []stringThe keys being held while dragging the mouse.
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type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
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Keys []stringThe combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.
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Type KeypressSpecifies the event type. For a keypress action, this property is always set to
keypress.const KeypressKeypress Keypress = "keypress"
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type ResponseComputerToolCallActionMove struct{…}A mouse move action.
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Type MoveSpecifies the event type. For a move action, this property is always set to
move.const MoveMove Move = "move"
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X int64The x-coordinate to move to.
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Y int64The y-coordinate to move to.
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Keys []stringThe keys being held while moving the mouse.
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type ResponseComputerToolCallActionScreenshot struct{…}A screenshot action.
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Type ScreenshotSpecifies the event type. For a screenshot action, this property is always set to
screenshot.const ScreenshotScreenshot Screenshot = "screenshot"
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type ResponseComputerToolCallActionScroll struct{…}A scroll action.
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ScrollX int64The horizontal scroll distance.
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ScrollY int64The vertical scroll distance.
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Type ScrollSpecifies the event type. For a scroll action, this property is always set to
scroll.const ScrollScroll Scroll = "scroll"
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X int64The x-coordinate where the scroll occurred.
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Y int64The y-coordinate where the scroll occurred.
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Keys []stringThe keys being held while scrolling.
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type ResponseComputerToolCallActionType struct{…}An action to type in text.
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Text stringThe text to type.
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Type TypeSpecifies the event type. For a type action, this property is always set to
type.const TypeType Type = "type"
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type ResponseComputerToolCallActionWait struct{…}A wait action.
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Type WaitSpecifies the event type. For a wait action, this property is always set to
wait.const WaitWait Wait = "wait"
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Actions ComputerActionListFlattened batched actions for
computer_use. Each action includes antypediscriminator and action-specific fields.-
type ComputerActionClick struct{…}A click action.
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Button stringIndicates which mouse button was pressed during the click. One of
left,right,wheel,back, orforward.-
const ComputerActionClickButtonLeft ComputerActionClickButton = "left" -
const ComputerActionClickButtonRight ComputerActionClickButton = "right" -
const ComputerActionClickButtonWheel ComputerActionClickButton = "wheel" -
const ComputerActionClickButtonBack ComputerActionClickButton = "back" -
const ComputerActionClickButtonForward ComputerActionClickButton = "forward"
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Type ClickSpecifies the event type. For a click action, this property is always
click.const ClickClick Click = "click"
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X int64The x-coordinate where the click occurred.
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Y int64The y-coordinate where the click occurred.
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Keys []stringThe keys being held while clicking.
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type ComputerActionDoubleClick struct{…}A double click action.
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Keys []stringThe keys being held while double-clicking.
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Type DoubleClickSpecifies the event type. For a double click action, this property is always set to
double_click.const DoubleClickDoubleClick DoubleClick = "double_click"
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X int64The x-coordinate where the double click occurred.
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Y int64The y-coordinate where the double click occurred.
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type ComputerActionDrag struct{…}A drag action.
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Path []ComputerActionDragPathAn 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 int64The x-coordinate.
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Y int64The y-coordinate.
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Type DragSpecifies the event type. For a drag action, this property is always set to
drag.const DragDrag Drag = "drag"
-
Keys []stringThe keys being held while dragging the mouse.
-
-
type ComputerActionKeypress struct{…}A collection of keypresses the model would like to perform.
-
Keys []stringThe combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.
-
Type KeypressSpecifies the event type. For a keypress action, this property is always set to
keypress.const KeypressKeypress Keypress = "keypress"
-
-
type ComputerActionMove struct{…}A mouse move action.
-
Type MoveSpecifies the event type. For a move action, this property is always set to
move.const MoveMove Move = "move"
-
X int64The x-coordinate to move to.
-
Y int64The y-coordinate to move to.
-
Keys []stringThe keys being held while moving the mouse.
-
-
type ComputerActionScreenshot struct{…}A screenshot action.
-
Type ScreenshotSpecifies the event type. For a screenshot action, this property is always set to
screenshot.const ScreenshotScreenshot Screenshot = "screenshot"
-
-
type ComputerActionScroll struct{…}A scroll action.
-
ScrollX int64The horizontal scroll distance.
-
ScrollY int64The vertical scroll distance.
-
Type ScrollSpecifies the event type. For a scroll action, this property is always set to
scroll.const ScrollScroll Scroll = "scroll"
-
X int64The x-coordinate where the scroll occurred.
-
Y int64The y-coordinate where the scroll occurred.
-
Keys []stringThe keys being held while scrolling.
-
-
type ComputerActionType struct{…}An action to type in text.
-
Text stringThe text to type.
-
Type TypeSpecifies the event type. For a type action, this property is always set to
type.const TypeType Type = "type"
-
-
type ComputerActionWait struct{…}A wait action.
-
Type WaitSpecifies the event type. For a wait action, this property is always set to
wait.const WaitWait Wait = "wait"
-
-
-
-
type ResponseInputItemComputerCallOutput struct{…}The output of a computer tool call.
-
CallID stringThe ID of the computer tool call that produced the output.
-
Output ResponseComputerToolCallOutputScreenshotA computer screenshot image used with the computer use tool.
-
Type ComputerScreenshotSpecifies the event type. For a computer screenshot, this property is always set to
computer_screenshot.const ComputerScreenshotComputerScreenshot ComputerScreenshot = "computer_screenshot"
-
FileID stringThe identifier of an uploaded file that contains the screenshot.
-
ImageURL stringThe URL of the screenshot image.
-
-
Type ComputerCallOutputThe type of the computer tool call output. Always
computer_call_output.const ComputerCallOutputComputerCallOutput ComputerCallOutput = "computer_call_output"
-
ID stringThe ID of the computer tool call output.
-
AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheckThe safety checks reported by the API that have been acknowledged by the developer.
-
ID stringThe ID of the pending safety check.
-
Code stringThe type of the pending safety check.
-
Message stringDetails about the pending safety check.
-
-
Status stringThe status of the message input. One of
in_progress,completed, orincomplete. Populated when input items are returned via API.-
const ResponseInputItemComputerCallOutputStatusInProgress ResponseInputItemComputerCallOutputStatus = "in_progress" -
const ResponseInputItemComputerCallOutputStatusCompleted ResponseInputItemComputerCallOutputStatus = "completed" -
const ResponseInputItemComputerCallOutputStatusIncomplete ResponseInputItemComputerCallOutputStatus = "incomplete"
-
-
-
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the web search guide for more information.
-
ID stringThe unique ID of the web search tool call.
-
Action ResponseFunctionWebSearchActionUnionAn object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
-
type ResponseFunctionWebSearchActionSearch struct{…}Action type "search" - Performs a web search query.
-
Type SearchThe action type.
const SearchSearch Search = "search"
-
Queries []stringThe search queries.
-
Query stringThe search query.
-
Sources []ResponseFunctionWebSearchActionSearchSourceThe sources used in the search.
-
Type URLThe type of source. Always
url.const URLURL URL = "url"
-
URL stringThe URL of the source.
-
-
-
type ResponseFunctionWebSearchActionOpenPage struct{…}Action type "open_page" - Opens a specific URL from search results.
-
Type OpenPageThe action type.
const OpenPageOpenPage OpenPage = "open_page"
-
URL stringThe URL opened by the model.
-
-
type ResponseFunctionWebSearchActionFindInPage struct{…}Action type "find_in_page": Searches for a pattern within a loaded page.
-
Pattern stringThe pattern or text to search for within the page.
-
Type FindInPageThe action type.
const FindInPageFindInPage FindInPage = "find_in_page"
-
URL stringThe URL of the page searched for the pattern.
-
-
-
Status ResponseFunctionWebSearchStatusThe status of the web search tool call.
-
const ResponseFunctionWebSearchStatusInProgress ResponseFunctionWebSearchStatus = "in_progress" -
const ResponseFunctionWebSearchStatusSearching ResponseFunctionWebSearchStatus = "searching" -
const ResponseFunctionWebSearchStatusCompleted ResponseFunctionWebSearchStatus = "completed" -
const ResponseFunctionWebSearchStatusFailed ResponseFunctionWebSearchStatus = "failed"
-
-
Type WebSearchCallThe type of the web search tool call. Always
web_search_call.const WebSearchCallWebSearchCall WebSearchCall = "web_search_call"
-
-
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the function calling guide for more information.
-
Arguments stringA JSON string of the arguments to pass to the function.
-
CallID stringThe unique ID of the function tool call generated by the model.
-
Name stringThe name of the function to run.
-
Type FunctionCallThe type of the function tool call. Always
function_call.const FunctionCallFunctionCall FunctionCall = "function_call"
-
ID stringThe unique ID of the function tool call.
-
Namespace stringThe namespace of the function to run.
-
Status ResponseFunctionToolCallStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseFunctionToolCallStatusInProgress ResponseFunctionToolCallStatus = "in_progress" -
const ResponseFunctionToolCallStatusCompleted ResponseFunctionToolCallStatus = "completed" -
const ResponseFunctionToolCallStatusIncomplete ResponseFunctionToolCallStatus = "incomplete"
-
-
-
type ResponseInputItemFunctionCallOutput struct{…}The output of a function tool call.
-
CallID stringThe unique ID of the function tool call generated by the model.
-
Output ResponseInputItemFunctionCallOutputOutputUnionText, image, or file output of the function tool call.
-
string -
type ResponseFunctionCallOutputItemList []ResponseFunctionCallOutputItemUnionAn array of content outputs (text, image, file) for the function tool call.
-
type ResponseInputTextContent struct{…}A text input to the model.
-
Text stringThe text input to the model.
-
Type InputTextThe type of the input item. Always
input_text.const InputTextInputText InputText = "input_text"
-
-
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
-
Type InputImageThe type of the input item. Always
input_image.const InputImageInputImage InputImage = "input_image"
-
Detail ResponseInputImageContentDetailThe detail level of the image to be sent to the model. One of
high,low,auto, ororiginal. Defaults toauto.-
const ResponseInputImageContentDetailLow ResponseInputImageContentDetail = "low" -
const ResponseInputImageContentDetailHigh ResponseInputImageContentDetail = "high" -
const ResponseInputImageContentDetailAuto ResponseInputImageContentDetail = "auto" -
const ResponseInputImageContentDetailOriginal ResponseInputImageContentDetail = "original"
-
-
FileID stringThe ID of the file to be sent to the model.
-
ImageURL stringThe URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.
-
-
type ResponseInputFileContent struct{…}A file input to the model.
-
Type InputFileThe type of the input item. Always
input_file.const InputFileInputFile InputFile = "input_file"
-
Detail ResponseInputFileContentDetailThe detail level of the file to be sent to the model. Use
lowfor the default rendering behavior, orhighto render the file at higher quality. Defaults tolow.-
const ResponseInputFileContentDetailLow ResponseInputFileContentDetail = "low" -
const ResponseInputFileContentDetailHigh ResponseInputFileContentDetail = "high"
-
-
FileData stringThe base64-encoded data of the file to be sent to the model.
-
FileID stringThe ID of the file to be sent to the model.
-
FileURL stringThe URL of the file to be sent to the model.
-
Filename stringThe name of the file to be sent to the model.
-
-
-
-
Type FunctionCallOutputThe type of the function tool call output. Always
function_call_output.const FunctionCallOutputFunctionCallOutput FunctionCallOutput = "function_call_output"
-
ID stringThe unique ID of the function tool call output. Populated when this item is returned via API.
-
Status stringThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseInputItemFunctionCallOutputStatusInProgress ResponseInputItemFunctionCallOutputStatus = "in_progress" -
const ResponseInputItemFunctionCallOutputStatusCompleted ResponseInputItemFunctionCallOutputStatus = "completed" -
const ResponseInputItemFunctionCallOutputStatusIncomplete ResponseInputItemFunctionCallOutputStatus = "incomplete"
-
-
-
type ResponseInputItemToolSearchCall struct{…}-
Arguments anyThe arguments supplied to the tool search call.
-
Type ToolSearchCallThe item type. Always
tool_search_call.const ToolSearchCallToolSearchCall ToolSearchCall = "tool_search_call"
-
ID stringThe unique ID of this tool search call.
-
CallID stringThe unique ID of the tool search call generated by the model.
-
Execution stringWhether tool search was executed by the server or by the client.
-
const ResponseInputItemToolSearchCallExecutionServer ResponseInputItemToolSearchCallExecution = "server" -
const ResponseInputItemToolSearchCallExecutionClient ResponseInputItemToolSearchCallExecution = "client"
-
-
Status stringThe status of the tool search call.
-
const ResponseInputItemToolSearchCallStatusInProgress ResponseInputItemToolSearchCallStatus = "in_progress" -
const ResponseInputItemToolSearchCallStatusCompleted ResponseInputItemToolSearchCallStatus = "completed" -
const ResponseInputItemToolSearchCallStatusIncomplete ResponseInputItemToolSearchCallStatus = "incomplete"
-
-
-
type ResponseToolSearchOutputItemParamResp struct{…}-
Tools []ToolUnionThe loaded tool definitions returned by the tool search output.
-
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
-
Name stringThe name of the function to call.
-
Parameters map[string, any]A JSON schema object describing the parameters of the function.
-
Strict boolWhether to enforce strict parameter validation. Default
true. -
Type FunctionThe type of the function tool. Always
function.const FunctionFunction Function = "function"
-
DeferLoading boolWhether this function is deferred and loaded via tool search.
-
Description stringA description of the function. Used by the model to determine whether or not to call the function.
-
-
type FileSearchTool struct{…}A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
-
Type FileSearchThe type of the file search tool. Always
file_search.const FileSearchFileSearch FileSearch = "file_search"
-
VectorStoreIDs []stringThe IDs of the vector stores to search.
-
Filters FileSearchToolFiltersUnionA filter to apply.
-
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
-
Key stringThe key to compare against the value.
-
Type ComparisonFilterTypeSpecifies the comparison operator:
eq,ne,gt,gte,lt,lte,in,nin.-
eq: equals -
ne: not equal -
gt: greater than -
gte: greater than or equal -
lt: less than -
lte: less than or equal -
in: in -
nin: not in -
const ComparisonFilterTypeEq ComparisonFilterType = "eq" -
const ComparisonFilterTypeNe ComparisonFilterType = "ne" -
const ComparisonFilterTypeGt ComparisonFilterType = "gt" -
const ComparisonFilterTypeGte ComparisonFilterType = "gte" -
const ComparisonFilterTypeLt ComparisonFilterType = "lt" -
const ComparisonFilterTypeLte ComparisonFilterType = "lte" -
const ComparisonFilterTypeIn ComparisonFilterType = "in" -
const ComparisonFilterTypeNin ComparisonFilterType = "nin"
-
-
Value ComparisonFilterValueUnionThe value to compare against the attribute key; supports string, number, or boolean types.
-
string -
float64 -
bool -
type ComparisonFilterValueArray []ComparisonFilterValueArrayItemUnion-
string -
float64
-
-
-
-
type CompoundFilter struct{…}Combine multiple filters using
andoror.-
Filters []ComparisonFilterArray of filters to combine. Items can be
ComparisonFilterorCompoundFilter.-
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
-
-
Type CompoundFilterTypeType of operation:
andoror.-
const CompoundFilterTypeAnd CompoundFilterType = "and" -
const CompoundFilterTypeOr CompoundFilterType = "or"
-
-
-
-
MaxNumResults int64The maximum number of results to return. This number should be between 1 and 50 inclusive.
-
RankingOptions FileSearchToolRankingOptionsRanking options for search.
-
HybridSearch FileSearchToolRankingOptionsHybridSearchWeights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled.
-
EmbeddingWeight float64The weight of the embedding in the reciprocal ranking fusion.
-
TextWeight float64The weight of the text in the reciprocal ranking fusion.
-
-
Ranker stringThe ranker to use for the file search.
-
const FileSearchToolRankingOptionsRankerAuto FileSearchToolRankingOptionsRanker = "auto" -
const FileSearchToolRankingOptionsRankerDefault2024_11_15 FileSearchToolRankingOptionsRanker = "default-2024-11-15"
-
-
ScoreThreshold float64The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results.
-
-
-
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
Type ComputerThe type of the computer tool. Always
computer.const ComputerComputer Computer = "computer"
-
-
type ComputerUsePreviewTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
DisplayHeight int64The height of the computer display.
-
DisplayWidth int64The width of the computer display.
-
Environment ComputerUsePreviewToolEnvironmentThe type of computer environment to control.
-
const ComputerUsePreviewToolEnvironmentWindows ComputerUsePreviewToolEnvironment = "windows" -
const ComputerUsePreviewToolEnvironmentMac ComputerUsePreviewToolEnvironment = "mac" -
const ComputerUsePreviewToolEnvironmentLinux ComputerUsePreviewToolEnvironment = "linux" -
const ComputerUsePreviewToolEnvironmentUbuntu ComputerUsePreviewToolEnvironment = "ubuntu" -
const ComputerUsePreviewToolEnvironmentBrowser ComputerUsePreviewToolEnvironment = "browser"
-
-
Type ComputerUsePreviewThe type of the computer use tool. Always
computer_use_preview.const ComputerUsePreviewComputerUsePreview ComputerUsePreview = "computer_use_preview"
-
-
type WebSearchTool struct{…}Search the Internet for sources related to the prompt. Learn more about the web search tool.
-
Type WebSearchToolTypeThe type of the web search tool. One of
web_searchorweb_search_2025_08_26.-
const WebSearchToolTypeWebSearch WebSearchToolType = "web_search" -
const WebSearchToolTypeWebSearch2025_08_26 WebSearchToolType = "web_search_2025_08_26"
-
-
Filters WebSearchToolFiltersFilters for the search.
-
AllowedDomains []stringAllowed 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 WebSearchToolSearchContextSizeHigh level guidance for the amount of context window space to use for the search. One of
low,medium, orhigh.mediumis the default.-
const WebSearchToolSearchContextSizeLow WebSearchToolSearchContextSize = "low" -
const WebSearchToolSearchContextSizeMedium WebSearchToolSearchContextSize = "medium" -
const WebSearchToolSearchContextSizeHigh WebSearchToolSearchContextSize = "high"
-
-
UserLocation WebSearchToolUserLocationThe approximate location of the user.
-
City stringFree text input for the city of the user, e.g.
San Francisco. -
Country stringThe two-letter ISO country code of the user, e.g.
US. -
Region stringFree text input for the region of the user, e.g.
California. -
Timezone stringThe IANA timezone of the user, e.g.
America/Los_Angeles. -
Type stringThe type of location approximation. Always
approximate.const WebSearchToolUserLocationTypeApproximate WebSearchToolUserLocationType = "approximate"
-
-
-
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
-
ServerLabel stringA label for this MCP server, used to identify it in tool calls.
-
Type McpThe type of the MCP tool. Always
mcp.const McpMcp Mcp = "mcp"
-
AllowedTools ToolMcpAllowedToolsUnionList of allowed tool names or a filter object.
-
type ToolMcpAllowedToolsMcpAllowedTools []stringA string array of allowed tool names
-
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
-
ReadOnly boolIndicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with
readOnlyHint, it will match this filter. -
ToolNames []stringList of allowed tool names.
-
-
-
Authorization stringAn 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 stringIdentifier for service connectors, like those available in ChatGPT. One of
server_url,connector_id, ortunnel_idmust be provided. Learn more about service connectors here.Currently supported
connector_idvalues are:-
Dropbox:
connector_dropbox -
Gmail:
connector_gmail -
Google Calendar:
connector_googlecalendar -
Google Drive:
connector_googledrive -
Microsoft Teams:
connector_microsoftteams -
Outlook Calendar:
connector_outlookcalendar -
Outlook Email:
connector_outlookemail -
SharePoint:
connector_sharepoint -
const ToolMcpConnectorIDConnectorDropbox ToolMcpConnectorID = "connector_dropbox" -
const ToolMcpConnectorIDConnectorGmail ToolMcpConnectorID = "connector_gmail" -
const ToolMcpConnectorIDConnectorGooglecalendar ToolMcpConnectorID = "connector_googlecalendar" -
const ToolMcpConnectorIDConnectorGoogledrive ToolMcpConnectorID = "connector_googledrive" -
const ToolMcpConnectorIDConnectorMicrosoftteams ToolMcpConnectorID = "connector_microsoftteams" -
const ToolMcpConnectorIDConnectorOutlookcalendar ToolMcpConnectorID = "connector_outlookcalendar" -
const ToolMcpConnectorIDConnectorOutlookemail ToolMcpConnectorID = "connector_outlookemail" -
const ToolMcpConnectorIDConnectorSharepoint ToolMcpConnectorID = "connector_sharepoint"
-
-
DeferLoading boolWhether 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 ToolMcpRequireApprovalUnionSpecify which of the MCP server's tools require approval.
-
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always,never, or a filter object associated with tools that require approval.-
Always ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysA filter object to specify which tools are allowed.
-
ReadOnly boolIndicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with
readOnlyHint, it will match this filter. -
ToolNames []stringList of allowed tool names.
-
-
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeverA filter object to specify which tools are allowed.
-
ReadOnly boolIndicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with
readOnlyHint, it will match this filter. -
ToolNames []stringList of allowed tool names.
-
-
-
type ToolMcpRequireApprovalMcpToolApprovalSetting stringSpecify a single approval policy for all tools. One of
alwaysornever. When set toalways, all tools will require approval. When set tonever, all tools will not require approval.-
const ToolMcpRequireApprovalMcpToolApprovalSettingAlways ToolMcpRequireApprovalMcpToolApprovalSetting = "always" -
const ToolMcpRequireApprovalMcpToolApprovalSettingNever ToolMcpRequireApprovalMcpToolApprovalSetting = "never"
-
-
-
ServerDescription stringOptional description of the MCP server, used to provide more context.
-
ServerURL stringThe URL for the MCP server. One of
server_url,connector_id, ortunnel_idmust be provided. -
TunnelID stringThe Secure MCP Tunnel ID to use instead of a direct server URL. One of
server_url,connector_id, ortunnel_idmust be provided.
-
-
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
-
Container ToolCodeInterpreterContainerUnionThe 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_limitsetting.-
string -
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
-
Type AutoAlways
auto.const AutoAuto Auto = "auto"
-
FileIDs []stringAn optional list of uploaded files to make available to your code.
-
MemoryLimit stringThe memory limit for the code interpreter container.
-
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit1g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "1g" -
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit4g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "4g" -
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit16g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "16g" -
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit64g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "64g"
-
-
NetworkPolicy ToolCodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicyUnionNetwork access policy for the container.
-
type ContainerNetworkPolicyDisabled struct{…}-
Type DisabledDisable outbound network access. Always
disabled.const DisabledDisabled Disabled = "disabled"
-
-
type ContainerNetworkPolicyAllowlist struct{…}-
AllowedDomains []stringA list of allowed domains when type is
allowlist. -
Type AllowlistAllow outbound network access only to specified domains. Always
allowlist.const AllowlistAllowlist Allowlist = "allowlist"
-
DomainSecrets []ContainerNetworkPolicyDomainSecretOptional domain-scoped secrets for allowlisted domains.
-
Domain stringThe domain associated with the secret.
-
Name stringThe name of the secret to inject for the domain.
-
Value stringThe secret value to inject for the domain.
-
-
-
-
-
-
Type CodeInterpreterThe type of the code interpreter tool. Always
code_interpreter.const CodeInterpreterCodeInterpreter CodeInterpreter = "code_interpreter"
-
-
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
-
Type ImageGenerationThe type of the image generation tool. Always
image_generation.const ImageGenerationImageGeneration ImageGeneration = "image_generation"
-
Action stringWhether to generate a new image or edit an existing image. Default:
auto.-
const ToolImageGenerationActionGenerate ToolImageGenerationAction = "generate" -
const ToolImageGenerationActionEdit ToolImageGenerationAction = "edit" -
const ToolImageGenerationActionAuto ToolImageGenerationAction = "auto"
-
-
Background stringAllows 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, orauto(default value). Whenautois used, the model will automatically determine the best background for the image.gpt-image-2andgpt-image-2-2026-04-21do not support transparent backgrounds. Requests withbackgroundset totransparentwill return an error for these models; useopaqueorautoinstead.If
transparent, the output format needs to support transparency, so it should be set to eitherpng(default value) orwebp.-
const ToolImageGenerationBackgroundTransparent ToolImageGenerationBackground = "transparent" -
const ToolImageGenerationBackgroundOpaque ToolImageGenerationBackground = "opaque" -
const ToolImageGenerationBackgroundAuto ToolImageGenerationBackground = "auto"
-
-
InputFidelity stringControl 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-1andgpt-image-1.5and later models, unsupported forgpt-image-1-mini. Supportshighandlow. Defaults tolow.-
const ToolImageGenerationInputFidelityHigh ToolImageGenerationInputFidelity = "high" -
const ToolImageGenerationInputFidelityLow ToolImageGenerationInputFidelity = "low"
-
-
InputImageMask ToolImageGenerationInputImageMaskOptional mask for inpainting. Contains
image_url(string, optional) andfile_id(string, optional).-
FileID stringFile ID for the mask image.
-
ImageURL stringBase64-encoded mask image.
-
-
Model stringThe image generation model to use. Default:
gpt-image-1.-
string -
string-
const ToolImageGenerationModelGPTImage1 ToolImageGenerationModel = "gpt-image-1" -
const ToolImageGenerationModelGPTImage1Mini ToolImageGenerationModel = "gpt-image-1-mini" -
const ToolImageGenerationModelGPTImage2 ToolImageGenerationModel = "gpt-image-2" -
const ToolImageGenerationModelGPTImage2_2026_04_21 ToolImageGenerationModel = "gpt-image-2-2026-04-21" -
const ToolImageGenerationModelGPTImage1_5 ToolImageGenerationModel = "gpt-image-1.5" -
const ToolImageGenerationModelChatgptImageLatest ToolImageGenerationModel = "chatgpt-image-latest"
-
-
-
Moderation stringModeration level for the generated image. Default:
auto.-
const ToolImageGenerationModerationAuto ToolImageGenerationModeration = "auto" -
const ToolImageGenerationModerationLow ToolImageGenerationModeration = "low"
-
-
OutputCompression int64Compression level for the output image. Default: 100.
-
OutputFormat stringThe output format of the generated image. One of
png,webp, orjpeg. Default:png.-
const ToolImageGenerationOutputFormatPNG ToolImageGenerationOutputFormat = "png" -
const ToolImageGenerationOutputFormatWebP ToolImageGenerationOutputFormat = "webp" -
const ToolImageGenerationOutputFormatJPEG ToolImageGenerationOutputFormat = "jpeg"
-
-
PartialImages int64Number of partial images to generate in streaming mode, from 0 (default value) to 3.
-
Quality stringThe quality of the generated image. One of
low,medium,high, orauto. Default:auto.-
const ToolImageGenerationQualityLow ToolImageGenerationQuality = "low" -
const ToolImageGenerationQualityMedium ToolImageGenerationQuality = "medium" -
const ToolImageGenerationQualityHigh ToolImageGenerationQuality = "high" -
const ToolImageGenerationQualityAuto ToolImageGenerationQuality = "auto"
-
-
Size stringThe size of the generated images. For
gpt-image-2andgpt-image-2-2026-04-21, arbitrary resolutions are supported asWIDTHxHEIGHTstrings, for example1536x864. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above2560x1440are experimental, and the maximum supported resolution is3840x2160. The requested size must also satisfy the model's current pixel and edge limits. The standard sizes1024x1024,1536x1024, and1024x1536are supported by the GPT image models;autois supported for models that allow automatic sizing. Fordall-e-2, use one of256x256,512x512, or1024x1024. Fordall-e-3, use one of1024x1024,1792x1024, or1024x1792.-
string -
string-
const ToolImageGenerationSize1024x1024 ToolImageGenerationSize = "1024x1024" -
const ToolImageGenerationSize1024x1536 ToolImageGenerationSize = "1024x1536" -
const ToolImageGenerationSize1536x1024 ToolImageGenerationSize = "1536x1024" -
const ToolImageGenerationSizeAuto ToolImageGenerationSize = "auto"
-
-
-
-
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
-
Type LocalShellThe type of the local shell tool. Always
local_shell.const LocalShellLocalShell LocalShell = "local_shell"
-
-
type FunctionShellTool struct{…}A tool that allows the model to execute shell commands.
-
Type ShellThe type of the shell tool. Always
shell.const ShellShell Shell = "shell"
-
Environment FunctionShellToolEnvironmentUnion-
type ContainerAuto struct{…}-
Type ContainerAutoAutomatically creates a container for this request
const ContainerAutoContainerAuto ContainerAuto = "container_auto"
-
FileIDs []stringAn optional list of uploaded files to make available to your code.
-
MemoryLimit ContainerAutoMemoryLimitThe memory limit for the container.
-
const ContainerAutoMemoryLimit1g ContainerAutoMemoryLimit = "1g" -
const ContainerAutoMemoryLimit4g ContainerAutoMemoryLimit = "4g" -
const ContainerAutoMemoryLimit16g ContainerAutoMemoryLimit = "16g" -
const ContainerAutoMemoryLimit64g ContainerAutoMemoryLimit = "64g"
-
-
NetworkPolicy ContainerAutoNetworkPolicyUnionNetwork access policy for the container.
-
type ContainerNetworkPolicyDisabled struct{…} -
type ContainerNetworkPolicyAllowlist struct{…}
-
-
Skills []ContainerAutoSkillUnionAn optional list of skills referenced by id or inline data.
-
type SkillReference struct{…}-
SkillID stringThe ID of the referenced skill.
-
Type SkillReferenceReferences a skill created with the /v1/skills endpoint.
const SkillReferenceSkillReference SkillReference = "skill_reference"
-
Version stringOptional skill version. Use a positive integer or 'latest'. Omit for default.
-
-
type InlineSkill struct{…}-
Description stringThe description of the skill.
-
Name stringThe name of the skill.
-
Source InlineSkillSourceInline skill payload
-
Data stringBase64-encoded skill zip bundle.
-
MediaType ApplicationZipThe media type of the inline skill payload. Must be
application/zip.const ApplicationZipApplicationZip ApplicationZip = "application/zip"
-
Type Base64The type of the inline skill source. Must be
base64.const Base64Base64 Base64 = "base64"
-
-
Type InlineDefines an inline skill for this request.
const InlineInline Inline = "inline"
-
-
-
-
type LocalEnvironment struct{…}-
Type LocalUse a local computer environment.
const LocalLocal Local = "local"
-
Skills []LocalSkillAn optional list of skills.
-
Description stringThe description of the skill.
-
Name stringThe name of the skill.
-
Path stringThe path to the directory containing the skill.
-
-
-
type ContainerReference struct{…}-
ContainerID stringThe ID of the referenced container.
-
Type ContainerReferenceReferences a container created with the /v1/containers endpoint
const ContainerReferenceContainerReference ContainerReference = "container_reference"
-
-
-
-
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
-
Name stringThe name of the custom tool, used to identify it in tool calls.
-
Type CustomThe type of the custom tool. Always
custom.const CustomCustom Custom = "custom"
-
DeferLoading boolWhether this tool should be deferred and discovered via tool search.
-
Description stringOptional description of the custom tool, used to provide more context.
-
Format CustomToolInputFormatUnionThe input format for the custom tool. Default is unconstrained text.
-
type CustomToolInputFormatText struct{…}Unconstrained free-form text.
-
Type TextUnconstrained text format. Always
text.const TextText Text = "text"
-
-
type CustomToolInputFormatGrammar struct{…}A grammar defined by the user.
-
Definition stringThe grammar definition.
-
Syntax stringThe syntax of the grammar definition. One of
larkorregex.-
const CustomToolInputFormatGrammarSyntaxLark CustomToolInputFormatGrammarSyntax = "lark" -
const CustomToolInputFormatGrammarSyntaxRegex CustomToolInputFormatGrammarSyntax = "regex"
-
-
Type GrammarGrammar format. Always
grammar.const GrammarGrammar Grammar = "grammar"
-
-
-
-
type NamespaceTool struct{…}Groups function/custom tools under a shared namespace.
-
Description stringA description of the namespace shown to the model.
-
Name stringThe namespace name used in tool calls (for example,
crm). -
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
-
type NamespaceToolToolFunction struct{…}-
Name string -
Type Functionconst FunctionFunction Function = "function"
-
DeferLoading boolWhether this function should be deferred and discovered via tool search.
-
Description string -
Parameters any -
Strict bool
-
-
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
-
-
Type NamespaceThe type of the tool. Always
namespace.const NamespaceNamespace Namespace = "namespace"
-
-
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
-
Type ToolSearchThe type of the tool. Always
tool_search.const ToolSearchToolSearch ToolSearch = "tool_search"
-
Description stringDescription shown to the model for a client-executed tool search tool.
-
Execution ToolSearchToolExecutionWhether tool search is executed by the server or by the client.
-
const ToolSearchToolExecutionServer ToolSearchToolExecution = "server" -
const ToolSearchToolExecutionClient ToolSearchToolExecution = "client"
-
-
Parameters anyParameter schema for a client-executed tool search tool.
-
-
type WebSearchPreviewTool struct{…}This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
-
Type WebSearchPreviewToolTypeThe type of the web search tool. One of
web_search_previeworweb_search_preview_2025_03_11.-
const WebSearchPreviewToolTypeWebSearchPreview WebSearchPreviewToolType = "web_search_preview" -
const WebSearchPreviewToolTypeWebSearchPreview2025_03_11 WebSearchPreviewToolType = "web_search_preview_2025_03_11"
-
-
SearchContentTypes []string-
const WebSearchPreviewToolSearchContentTypeText WebSearchPreviewToolSearchContentType = "text" -
const WebSearchPreviewToolSearchContentTypeImage WebSearchPreviewToolSearchContentType = "image"
-
-
SearchContextSize WebSearchPreviewToolSearchContextSizeHigh level guidance for the amount of context window space to use for the search. One of
low,medium, orhigh.mediumis the default.-
const WebSearchPreviewToolSearchContextSizeLow WebSearchPreviewToolSearchContextSize = "low" -
const WebSearchPreviewToolSearchContextSizeMedium WebSearchPreviewToolSearchContextSize = "medium" -
const WebSearchPreviewToolSearchContextSizeHigh WebSearchPreviewToolSearchContextSize = "high"
-
-
UserLocation WebSearchPreviewToolUserLocationThe user's location.
-
Type ApproximateThe type of location approximation. Always
approximate.const ApproximateApproximate Approximate = "approximate"
-
City stringFree text input for the city of the user, e.g.
San Francisco. -
Country stringThe two-letter ISO country code of the user, e.g.
US. -
Region stringFree text input for the region of the user, e.g.
California. -
Timezone stringThe IANA timezone of the user, e.g.
America/Los_Angeles.
-
-
-
type ApplyPatchTool struct{…}Allows the assistant to create, delete, or update files using unified diffs.
-
Type ApplyPatchThe type of the tool. Always
apply_patch.const ApplyPatchApplyPatch ApplyPatch = "apply_patch"
-
-
-
Type ToolSearchOutputThe item type. Always
tool_search_output.const ToolSearchOutputToolSearchOutput ToolSearchOutput = "tool_search_output"
-
ID stringThe unique ID of this tool search output.
-
CallID stringThe unique ID of the tool search call generated by the model.
-
Execution ResponseToolSearchOutputItemParamExecutionWhether tool search was executed by the server or by the client.
-
const ResponseToolSearchOutputItemParamExecutionServer ResponseToolSearchOutputItemParamExecution = "server" -
const ResponseToolSearchOutputItemParamExecutionClient ResponseToolSearchOutputItemParamExecution = "client"
-
-
Status ResponseToolSearchOutputItemParamStatusThe status of the tool search output.
-
const ResponseToolSearchOutputItemParamStatusInProgress ResponseToolSearchOutputItemParamStatus = "in_progress" -
const ResponseToolSearchOutputItemParamStatusCompleted ResponseToolSearchOutputItemParamStatus = "completed" -
const ResponseToolSearchOutputItemParamStatusIncomplete ResponseToolSearchOutputItemParamStatus = "incomplete"
-
-
-
type ResponseInputItemAdditionalTools struct{…}-
Role DeveloperThe role that provided the additional tools. Only
developeris supported.const DeveloperDeveloper Developer = "developer"
-
Tools []ToolUnionA list of additional tools made available at this item.
-
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
-
type FileSearchTool struct{…}A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
-
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
type ComputerUsePreviewTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
type WebSearchTool struct{…}Search the Internet for sources related to the prompt. Learn more about the web search tool.
-
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
-
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
-
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
-
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
-
type FunctionShellTool struct{…}A tool that allows the model to execute shell commands.
-
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
-
type NamespaceTool struct{…}Groups function/custom tools under a shared namespace.
-
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
-
type WebSearchPreviewTool struct{…}This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
-
type ApplyPatchTool struct{…}Allows the assistant to create, delete, or update files using unified diffs.
-
-
Type AdditionalToolsThe item type. Always
additional_tools.const AdditionalToolsAdditionalTools AdditionalTools = "additional_tools"
-
ID stringThe unique ID of this additional tools item.
-
-
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating a response. Be sure to include these items in your
inputto the Responses API for subsequent turns of a conversation if you are manually managing context.-
ID stringThe unique identifier of the reasoning content.
-
Summary []ResponseReasoningItemSummaryReasoning summary content.
-
Text stringA summary of the reasoning output from the model so far.
-
Type SummaryTextThe type of the object. Always
summary_text.const SummaryTextSummaryText SummaryText = "summary_text"
-
-
Type ReasoningThe type of the object. Always
reasoning.const ReasoningReasoning Reasoning = "reasoning"
-
Content []ResponseReasoningItemContentReasoning text content.
-
Text stringThe reasoning text from the model.
-
Type ReasoningTextThe type of the reasoning text. Always
reasoning_text.const ReasoningTextReasoningText ReasoningText = "reasoning_text"
-
-
EncryptedContent stringThe encrypted content of the reasoning item - populated when a response is generated with
reasoning.encrypted_contentin theincludeparameter. -
Status ResponseReasoningItemStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseReasoningItemStatusInProgress ResponseReasoningItemStatus = "in_progress" -
const ResponseReasoningItemStatusCompleted ResponseReasoningItemStatus = "completed" -
const ResponseReasoningItemStatusIncomplete ResponseReasoningItemStatus = "incomplete"
-
-
-
type ResponseCompactionItemParamResp struct{…}A compaction item generated by the
v1/responses/compactAPI.-
EncryptedContent stringThe encrypted content of the compaction summary.
-
Type CompactionThe type of the item. Always
compaction.const CompactionCompaction Compaction = "compaction"
-
ID stringThe ID of the compaction item.
-
-
type ResponseInputItemImageGenerationCall struct{…}An image generation request made by the model.
-
ID stringThe unique ID of the image generation call.
-
Result stringThe generated image encoded in base64.
-
Status stringThe status of the image generation call.
-
const ResponseInputItemImageGenerationCallStatusInProgress ResponseInputItemImageGenerationCallStatus = "in_progress" -
const ResponseInputItemImageGenerationCallStatusCompleted ResponseInputItemImageGenerationCallStatus = "completed" -
const ResponseInputItemImageGenerationCallStatusGenerating ResponseInputItemImageGenerationCallStatus = "generating" -
const ResponseInputItemImageGenerationCallStatusFailed ResponseInputItemImageGenerationCallStatus = "failed"
-
-
Type ImageGenerationCallThe type of the image generation call. Always
image_generation_call.const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"
-
-
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
-
ID stringThe unique ID of the code interpreter tool call.
-
Code stringThe code to run, or null if not available.
-
ContainerID stringThe ID of the container used to run the code.
-
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
-
type ResponseCodeInterpreterToolCallOutputLogs struct{…}The logs output from the code interpreter.
-
Logs stringThe logs output from the code interpreter.
-
Type LogsThe type of the output. Always
logs.const LogsLogs Logs = "logs"
-
-
type ResponseCodeInterpreterToolCallOutputImage struct{…}The image output from the code interpreter.
-
Type ImageThe type of the output. Always
image.const ImageImage Image = "image"
-
URL stringThe URL of the image output from the code interpreter.
-
-
-
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are
in_progress,completed,incomplete,interpreting, andfailed.-
const ResponseCodeInterpreterToolCallStatusInProgress ResponseCodeInterpreterToolCallStatus = "in_progress" -
const ResponseCodeInterpreterToolCallStatusCompleted ResponseCodeInterpreterToolCallStatus = "completed" -
const ResponseCodeInterpreterToolCallStatusIncomplete ResponseCodeInterpreterToolCallStatus = "incomplete" -
const ResponseCodeInterpreterToolCallStatusInterpreting ResponseCodeInterpreterToolCallStatus = "interpreting" -
const ResponseCodeInterpreterToolCallStatusFailed ResponseCodeInterpreterToolCallStatus = "failed"
-
-
Type CodeInterpreterCallThe type of the code interpreter tool call. Always
code_interpreter_call.const CodeInterpreterCallCodeInterpreterCall CodeInterpreterCall = "code_interpreter_call"
-
-
type ResponseInputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
-
ID stringThe unique ID of the local shell call.
-
Action ResponseInputItemLocalShellCallActionExecute a shell command on the server.
-
Command []stringThe command to run.
-
Env map[string, string]Environment variables to set for the command.
-
Type ExecThe type of the local shell action. Always
exec.const ExecExec Exec = "exec"
-
TimeoutMs int64Optional timeout in milliseconds for the command.
-
User stringOptional user to run the command as.
-
WorkingDirectory stringOptional working directory to run the command in.
-
-
CallID stringThe unique ID of the local shell tool call generated by the model.
-
Status stringThe status of the local shell call.
-
const ResponseInputItemLocalShellCallStatusInProgress ResponseInputItemLocalShellCallStatus = "in_progress" -
const ResponseInputItemLocalShellCallStatusCompleted ResponseInputItemLocalShellCallStatus = "completed" -
const ResponseInputItemLocalShellCallStatusIncomplete ResponseInputItemLocalShellCallStatus = "incomplete"
-
-
Type LocalShellCallThe type of the local shell call. Always
local_shell_call.const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"
-
-
type ResponseInputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
-
ID stringThe unique ID of the local shell tool call generated by the model.
-
Output stringA JSON string of the output of the local shell tool call.
-
Type LocalShellCallOutputThe type of the local shell tool call output. Always
local_shell_call_output.const LocalShellCallOutputLocalShellCallOutput LocalShellCallOutput = "local_shell_call_output"
-
Status stringThe status of the item. One of
in_progress,completed, orincomplete.-
const ResponseInputItemLocalShellCallOutputStatusInProgress ResponseInputItemLocalShellCallOutputStatus = "in_progress" -
const ResponseInputItemLocalShellCallOutputStatusCompleted ResponseInputItemLocalShellCallOutputStatus = "completed" -
const ResponseInputItemLocalShellCallOutputStatusIncomplete ResponseInputItemLocalShellCallOutputStatus = "incomplete"
-
-
-
type ResponseInputItemShellCall struct{…}A tool representing a request to execute one or more shell commands.
-
Action ResponseInputItemShellCallActionThe shell commands and limits that describe how to run the tool call.
-
Commands []stringOrdered shell commands for the execution environment to run.
-
MaxOutputLength int64Maximum number of UTF-8 characters to capture from combined stdout and stderr output.
-
TimeoutMs int64Maximum wall-clock time in milliseconds to allow the shell commands to run.
-
-
CallID stringThe unique ID of the shell tool call generated by the model.
-
Type ShellCallThe type of the item. Always
shell_call.const ShellCallShellCall ShellCall = "shell_call"
-
ID stringThe unique ID of the shell tool call. Populated when this item is returned via API.
-
Environment ResponseInputItemShellCallEnvironmentUnionThe environment to execute the shell commands in.
-
type LocalEnvironment struct{…} -
type ContainerReference struct{…}
-
-
Status stringThe status of the shell call. One of
in_progress,completed, orincomplete.-
const ResponseInputItemShellCallStatusInProgress ResponseInputItemShellCallStatus = "in_progress" -
const ResponseInputItemShellCallStatusCompleted ResponseInputItemShellCallStatus = "completed" -
const ResponseInputItemShellCallStatusIncomplete ResponseInputItemShellCallStatus = "incomplete"
-
-
-
type ResponseInputItemShellCallOutput struct{…}The streamed output items emitted by a shell tool call.
-
CallID stringThe unique ID of the shell tool call generated by the model.
-
Output []ResponseFunctionShellCallOutputContentCaptured chunks of stdout and stderr output, along with their associated outcomes.
-
Outcome ResponseFunctionShellCallOutputContentOutcomeUnionThe exit or timeout outcome associated with this shell call.
-
type ResponseFunctionShellCallOutputContentOutcomeTimeout struct{…}Indicates that the shell call exceeded its configured time limit.
-
Type TimeoutThe outcome type. Always
timeout.const TimeoutTimeout Timeout = "timeout"
-
-
type ResponseFunctionShellCallOutputContentOutcomeExit struct{…}Indicates that the shell commands finished and returned an exit code.
-
ExitCode int64The exit code returned by the shell process.
-
Type ExitThe outcome type. Always
exit.const ExitExit Exit = "exit"
-
-
-
Stderr stringCaptured stderr output for the shell call.
-
Stdout stringCaptured stdout output for the shell call.
-
-
Type ShellCallOutputThe type of the item. Always
shell_call_output.const ShellCallOutputShellCallOutput ShellCallOutput = "shell_call_output"
-
ID stringThe unique ID of the shell tool call output. Populated when this item is returned via API.
-
MaxOutputLength int64The maximum number of UTF-8 characters captured for this shell call's combined output.
-
Status stringThe status of the shell call output.
-
const ResponseInputItemShellCallOutputStatusInProgress ResponseInputItemShellCallOutputStatus = "in_progress" -
const ResponseInputItemShellCallOutputStatusCompleted ResponseInputItemShellCallOutputStatus = "completed" -
const ResponseInputItemShellCallOutputStatusIncomplete ResponseInputItemShellCallOutputStatus = "incomplete"
-
-
-
type ResponseInputItemApplyPatchCall struct{…}A tool call representing a request to create, delete, or update files using diff patches.
-
CallID stringThe unique ID of the apply patch tool call generated by the model.
-
Operation ResponseInputItemApplyPatchCallOperationUnionThe specific create, delete, or update instruction for the apply_patch tool call.
-
type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}Instruction for creating a new file via the apply_patch tool.
-
Diff stringUnified diff content to apply when creating the file.
-
Path stringPath of the file to create relative to the workspace root.
-
Type CreateFileThe operation type. Always
create_file.const CreateFileCreateFile CreateFile = "create_file"
-
-
type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}Instruction for deleting an existing file via the apply_patch tool.
-
Path stringPath of the file to delete relative to the workspace root.
-
Type DeleteFileThe operation type. Always
delete_file.const DeleteFileDeleteFile DeleteFile = "delete_file"
-
-
type ResponseInputItemApplyPatchCallOperationUpdateFile struct{…}Instruction for updating an existing file via the apply_patch tool.
-
Diff stringUnified diff content to apply to the existing file.
-
Path stringPath of the file to update relative to the workspace root.
-
Type UpdateFileThe operation type. Always
update_file.const UpdateFileUpdateFile UpdateFile = "update_file"
-
-
-
Status stringThe status of the apply patch tool call. One of
in_progressorcompleted.-
const ResponseInputItemApplyPatchCallStatusInProgress ResponseInputItemApplyPatchCallStatus = "in_progress" -
const ResponseInputItemApplyPatchCallStatusCompleted ResponseInputItemApplyPatchCallStatus = "completed"
-
-
Type ApplyPatchCallThe type of the item. Always
apply_patch_call.const ApplyPatchCallApplyPatchCall ApplyPatchCall = "apply_patch_call"
-
ID stringThe unique ID of the apply patch tool call. Populated when this item is returned via API.
-
-
type ResponseInputItemApplyPatchCallOutput struct{…}The streamed output emitted by an apply patch tool call.
-
CallID stringThe unique ID of the apply patch tool call generated by the model.
-
Status stringThe status of the apply patch tool call output. One of
completedorfailed.-
const ResponseInputItemApplyPatchCallOutputStatusCompleted ResponseInputItemApplyPatchCallOutputStatus = "completed" -
const ResponseInputItemApplyPatchCallOutputStatusFailed ResponseInputItemApplyPatchCallOutputStatus = "failed"
-
-
Type ApplyPatchCallOutputThe type of the item. Always
apply_patch_call_output.const ApplyPatchCallOutputApplyPatchCallOutput ApplyPatchCallOutput = "apply_patch_call_output"
-
ID stringThe unique ID of the apply patch tool call output. Populated when this item is returned via API.
-
Output stringOptional human-readable log text from the apply patch tool (e.g., patch results or errors).
-
-
type ResponseInputItemMcpListTools struct{…}A list of tools available on an MCP server.
-
ID stringThe unique ID of the list.
-
ServerLabel stringThe label of the MCP server.
-
Tools []ResponseInputItemMcpListToolsToolThe tools available on the server.
-
InputSchema anyThe JSON schema describing the tool's input.
-
Name stringThe name of the tool.
-
Annotations anyAdditional annotations about the tool.
-
Description stringThe description of the tool.
-
-
Type McpListToolsThe type of the item. Always
mcp_list_tools.const McpListToolsMcpListTools McpListTools = "mcp_list_tools"
-
Error stringError message if the server could not list tools.
-
-
type ResponseInputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
-
ID stringThe unique ID of the approval request.
-
Arguments stringA JSON string of arguments for the tool.
-
Name stringThe name of the tool to run.
-
ServerLabel stringThe label of the MCP server making the request.
-
Type McpApprovalRequestThe type of the item. Always
mcp_approval_request.const McpApprovalRequestMcpApprovalRequest McpApprovalRequest = "mcp_approval_request"
-
-
type ResponseInputItemMcpApprovalResponse struct{…}A response to an MCP approval request.
-
ApprovalRequestID stringThe ID of the approval request being answered.
-
Approve boolWhether the request was approved.
-
Type McpApprovalResponseThe type of the item. Always
mcp_approval_response.const McpApprovalResponseMcpApprovalResponse McpApprovalResponse = "mcp_approval_response"
-
ID stringThe unique ID of the approval response
-
Reason stringOptional reason for the decision.
-
-
type ResponseInputItemMcpCall struct{…}An invocation of a tool on an MCP server.
-
ID stringThe unique ID of the tool call.
-
Arguments stringA JSON string of the arguments passed to the tool.
-
Name stringThe name of the tool that was run.
-
ServerLabel stringThe label of the MCP server running the tool.
-
Type McpCallThe type of the item. Always
mcp_call.const McpCallMcpCall McpCall = "mcp_call"
-
ApprovalRequestID stringUnique identifier for the MCP tool call approval request. Include this value in a subsequent
mcp_approval_responseinput to approve or reject the corresponding tool call. -
Error stringThe error from the tool call, if any.
-
Output stringThe output from the tool call.
-
Status stringThe status of the tool call. One of
in_progress,completed,incomplete,calling, orfailed.-
const ResponseInputItemMcpCallStatusInProgress ResponseInputItemMcpCallStatus = "in_progress" -
const ResponseInputItemMcpCallStatusCompleted ResponseInputItemMcpCallStatus = "completed" -
const ResponseInputItemMcpCallStatusIncomplete ResponseInputItemMcpCallStatus = "incomplete" -
const ResponseInputItemMcpCallStatusCalling ResponseInputItemMcpCallStatus = "calling" -
const ResponseInputItemMcpCallStatusFailed ResponseInputItemMcpCallStatus = "failed"
-
-
-
type ResponseCustomToolCallOutput struct{…}The output of a custom tool call from your code, being sent back to the model.
-
CallID stringThe call ID, used to map this custom tool call output to a custom tool call.
-
Output ResponseCustomToolCallOutputOutputUnionThe output from the custom tool call generated by your code. Can be a string or an list of output content.
-
string -
type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnionText, image, or file output of the custom tool call.
-
type ResponseInputText struct{…}A text input to the model.
-
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
-
type ResponseInputFile struct{…}A file input to the model.
-
-
-
Type CustomToolCallOutputThe type of the custom tool call output. Always
custom_tool_call_output.const CustomToolCallOutputCustomToolCallOutput CustomToolCallOutput = "custom_tool_call_output"
-
ID stringThe unique ID of the custom tool call output in the OpenAI platform.
-
-
type ResponseCustomToolCall struct{…}A call to a custom tool created by the model.
-
CallID stringAn identifier used to map this custom tool call to a tool call output.
-
Input stringThe input for the custom tool call generated by the model.
-
Name stringThe name of the custom tool being called.
-
Type CustomToolCallThe type of the custom tool call. Always
custom_tool_call.const CustomToolCallCustomToolCall CustomToolCall = "custom_tool_call"
-
ID stringThe unique ID of the custom tool call in the OpenAI platform.
-
Namespace stringThe namespace of the custom tool being called.
-
-
type ResponseInputItemCompactionTrigger struct{…}Compacts the current context. Must be the final input item.
-
Type CompactionTriggerThe type of the item. Always
compaction_trigger.const CompactionTriggerCompactionTrigger CompactionTrigger = "compaction_trigger"
-
-
type ResponseInputItemItemReference struct{…}An internal identifier for an item to reference.
-
ID stringThe ID of the item to reference.
-
Type stringThe type of item to reference. Always
item_reference.const ResponseInputItemItemReferenceTypeItemReference ResponseInputItemItemReferenceType = "item_reference"
-
-
-
-
Instructions param.Field[string]A system (or developer) message inserted into the model's context. When used 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. -
PreviousResponseID param.Field[string]The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about conversation state. Cannot be used in conjunction with
conversation. -
PromptCacheKey param.Field[string]A key to use when reading from or writing to the prompt cache.
-
PromptCacheRetention param.Field[ResponseCompactParamsPromptCacheRetention]How long to retain a prompt cache entry created by this request.
-
const ResponseCompactParamsPromptCacheRetentionInMemory ResponseCompactParamsPromptCacheRetention = "in_memory" -
const ResponseCompactParamsPromptCacheRetention24h ResponseCompactParamsPromptCacheRetention = "24h"
-
-
ServiceTier param.Field[ResponseCompactParamsServiceTier]The service tier to use for this request.
-
const ResponseCompactParamsServiceTierAuto ResponseCompactParamsServiceTier = "auto" -
const ResponseCompactParamsServiceTierDefault ResponseCompactParamsServiceTier = "default" -
const ResponseCompactParamsServiceTierFlex ResponseCompactParamsServiceTier = "flex" -
const ResponseCompactParamsServiceTierPriority ResponseCompactParamsServiceTier = "priority"
-
-
Returns
-
type CompactedResponse struct{…}-
ID stringThe unique identifier for the compacted response.
-
CreatedAt int64Unix timestamp (in seconds) when the compacted conversation was created.
-
Object ResponseCompactionThe object type. Always
response.compaction.const ResponseCompactionResponseCompaction ResponseCompaction = "response.compaction"
-
Output []ResponseOutputItemUnionThe compacted list of output items. This is a list of all user messages, followed by a single compaction item.
-
type ResponseOutputMessage struct{…}An output message from the model.
-
ID stringThe unique ID of the output message.
-
Content []ResponseOutputMessageContentUnionThe content of the output message.
-
type ResponseOutputText struct{…}A text output from the model.
-
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
-
type ResponseOutputTextAnnotationFileCitation struct{…}A citation to a file.
-
FileID stringThe ID of the file.
-
Filename stringThe filename of the file cited.
-
Index int64The index of the file in the list of files.
-
Type FileCitationThe type of the file citation. Always
file_citation.const FileCitationFileCitation FileCitation = "file_citation"
-
-
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
-
EndIndex int64The index of the last character of the URL citation in the message.
-
StartIndex int64The index of the first character of the URL citation in the message.
-
Title stringThe title of the web resource.
-
Type URLCitationThe type of the URL citation. Always
url_citation.const URLCitationURLCitation URLCitation = "url_citation"
-
URL stringThe URL of the web resource.
-
-
type ResponseOutputTextAnnotationContainerFileCitation struct{…}A citation for a container file used to generate a model response.
-
ContainerID stringThe ID of the container file.
-
EndIndex int64The index of the last character of the container file citation in the message.
-
FileID stringThe ID of the file.
-
Filename stringThe filename of the container file cited.
-
StartIndex int64The index of the first character of the container file citation in the message.
-
Type ContainerFileCitationThe type of the container file citation. Always
container_file_citation.const ContainerFileCitationContainerFileCitation ContainerFileCitation = "container_file_citation"
-
-
type ResponseOutputTextAnnotationFilePath struct{…}A path to a file.
-
FileID stringThe ID of the file.
-
Index int64The index of the file in the list of files.
-
Type FilePathThe type of the file path. Always
file_path.const FilePathFilePath FilePath = "file_path"
-
-
-
Text stringThe text output from the model.
-
Type OutputTextThe type of the output text. Always
output_text.const OutputTextOutputText OutputText = "output_text"
-
Logprobs []ResponseOutputTextLogprob-
Token string -
Bytes []int64 -
Logprob float64 -
TopLogprobs []ResponseOutputTextLogprobTopLogprob-
Token string -
Bytes []int64 -
Logprob float64
-
-
-
-
type ResponseOutputRefusal struct{…}A refusal from the model.
-
Refusal stringThe refusal explanation from the model.
-
Type RefusalThe type of the refusal. Always
refusal.const RefusalRefusal Refusal = "refusal"
-
-
-
Role AssistantThe role of the output message. Always
assistant.const AssistantAssistant Assistant = "assistant"
-
Status ResponseOutputMessageStatusThe status of the message input. One of
in_progress,completed, orincomplete. Populated when input items are returned via API.-
const ResponseOutputMessageStatusInProgress ResponseOutputMessageStatus = "in_progress" -
const ResponseOutputMessageStatusCompleted ResponseOutputMessageStatus = "completed" -
const ResponseOutputMessageStatusIncomplete ResponseOutputMessageStatus = "incomplete"
-
-
Type MessageThe type of the output message. Always
message.const MessageMessage Message = "message"
-
Phase ResponseOutputMessagePhaseLabels an
assistantmessage as intermediate commentary (commentary) or the final answer (final_answer). For models likegpt-5.3-codexand beyond, when sending follow-up requests, preserve and resend phase on all assistant messages — dropping it can degrade performance. Not used for user messages.-
const ResponseOutputMessagePhaseCommentary ResponseOutputMessagePhase = "commentary" -
const ResponseOutputMessagePhaseFinalAnswer ResponseOutputMessagePhase = "final_answer"
-
-
-
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the file search guide for more information.
-
ID stringThe unique ID of the file search tool call.
-
Queries []stringThe queries used to search for files.
-
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of
in_progress,searching,incompleteorfailed,-
const ResponseFileSearchToolCallStatusInProgress ResponseFileSearchToolCallStatus = "in_progress" -
const ResponseFileSearchToolCallStatusSearching ResponseFileSearchToolCallStatus = "searching" -
const ResponseFileSearchToolCallStatusCompleted ResponseFileSearchToolCallStatus = "completed" -
const ResponseFileSearchToolCallStatusIncomplete ResponseFileSearchToolCallStatus = "incomplete" -
const ResponseFileSearchToolCallStatusFailed ResponseFileSearchToolCallStatus = "failed"
-
-
Type FileSearchCallThe type of the file search tool call. Always
file_search_call.const FileSearchCallFileSearchCall FileSearchCall = "file_search_call"
-
Results []ResponseFileSearchToolCallResultThe results of the file search tool call.
-
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters, booleans, or numbers.
-
string -
float64 -
bool
-
-
FileID stringThe unique ID of the file.
-
Filename stringThe name of the file.
-
Score float64The relevance score of the file - a value between 0 and 1.
-
Text stringThe text that was retrieved from the file.
-
-
-
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the function calling guide for more information.
-
Arguments stringA JSON string of the arguments to pass to the function.
-
CallID stringThe unique ID of the function tool call generated by the model.
-
Name stringThe name of the function to run.
-
Type FunctionCallThe type of the function tool call. Always
function_call.const FunctionCallFunctionCall FunctionCall = "function_call"
-
ID stringThe unique ID of the function tool call.
-
Namespace stringThe namespace of the function to run.
-
Status ResponseFunctionToolCallStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseFunctionToolCallStatusInProgress ResponseFunctionToolCallStatus = "in_progress" -
const ResponseFunctionToolCallStatusCompleted ResponseFunctionToolCallStatus = "completed" -
const ResponseFunctionToolCallStatusIncomplete ResponseFunctionToolCallStatus = "incomplete"
-
-
-
type ResponseFunctionToolCallOutputItem struct{…}-
ID stringThe unique ID of the function call tool output.
-
CallID stringThe unique ID of the function tool call generated by the model.
-
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code. Can be a string or an list of output content.
-
string -
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
-
type ResponseInputText struct{…}A text input to the model.
-
Text stringThe text input to the model.
-
Type InputTextThe type of the input item. Always
input_text.const InputTextInputText InputText = "input_text"
-
-
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
-
Detail ResponseInputImageDetailThe detail level of the image to be sent to the model. One of
high,low,auto, ororiginal. Defaults toauto.-
const ResponseInputImageDetailLow ResponseInputImageDetail = "low" -
const ResponseInputImageDetailHigh ResponseInputImageDetail = "high" -
const ResponseInputImageDetailAuto ResponseInputImageDetail = "auto" -
const ResponseInputImageDetailOriginal ResponseInputImageDetail = "original"
-
-
Type InputImageThe type of the input item. Always
input_image.const InputImageInputImage InputImage = "input_image"
-
FileID stringThe ID of the file to be sent to the model.
-
ImageURL stringThe URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.
-
-
type ResponseInputFile struct{…}A file input to the model.
-
Type InputFileThe type of the input item. Always
input_file.const InputFileInputFile InputFile = "input_file"
-
Detail ResponseInputFileDetailThe detail level of the file to be sent to the model. Use
lowfor the default rendering behavior, orhighto render the file at higher quality. Defaults tolow.-
const ResponseInputFileDetailLow ResponseInputFileDetail = "low" -
const ResponseInputFileDetailHigh ResponseInputFileDetail = "high"
-
-
FileData stringThe content of the file to be sent to the model.
-
FileID stringThe ID of the file to be sent to the model.
-
FileURL stringThe URL of the file to be sent to the model.
-
Filename stringThe name of the file to be sent to the model.
-
-
-
-
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseFunctionToolCallOutputItemStatusInProgress ResponseFunctionToolCallOutputItemStatus = "in_progress" -
const ResponseFunctionToolCallOutputItemStatusCompleted ResponseFunctionToolCallOutputItemStatus = "completed" -
const ResponseFunctionToolCallOutputItemStatusIncomplete ResponseFunctionToolCallOutputItemStatus = "incomplete"
-
-
Type FunctionCallOutputThe type of the function tool call output. Always
function_call_output.const FunctionCallOutputFunctionCallOutput FunctionCallOutput = "function_call_output"
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the web search guide for more information.
-
ID stringThe unique ID of the web search tool call.
-
Action ResponseFunctionWebSearchActionUnionAn object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
-
type ResponseFunctionWebSearchActionSearch struct{…}Action type "search" - Performs a web search query.
-
Type SearchThe action type.
const SearchSearch Search = "search"
-
Queries []stringThe search queries.
-
Query stringThe search query.
-
Sources []ResponseFunctionWebSearchActionSearchSourceThe sources used in the search.
-
Type URLThe type of source. Always
url.const URLURL URL = "url"
-
URL stringThe URL of the source.
-
-
-
type ResponseFunctionWebSearchActionOpenPage struct{…}Action type "open_page" - Opens a specific URL from search results.
-
Type OpenPageThe action type.
const OpenPageOpenPage OpenPage = "open_page"
-
URL stringThe URL opened by the model.
-
-
type ResponseFunctionWebSearchActionFindInPage struct{…}Action type "find_in_page": Searches for a pattern within a loaded page.
-
Pattern stringThe pattern or text to search for within the page.
-
Type FindInPageThe action type.
const FindInPageFindInPage FindInPage = "find_in_page"
-
URL stringThe URL of the page searched for the pattern.
-
-
-
Status ResponseFunctionWebSearchStatusThe status of the web search tool call.
-
const ResponseFunctionWebSearchStatusInProgress ResponseFunctionWebSearchStatus = "in_progress" -
const ResponseFunctionWebSearchStatusSearching ResponseFunctionWebSearchStatus = "searching" -
const ResponseFunctionWebSearchStatusCompleted ResponseFunctionWebSearchStatus = "completed" -
const ResponseFunctionWebSearchStatusFailed ResponseFunctionWebSearchStatus = "failed"
-
-
Type WebSearchCallThe type of the web search tool call. Always
web_search_call.const WebSearchCallWebSearchCall WebSearchCall = "web_search_call"
-
-
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the computer use guide for more information.
-
ID stringThe unique ID of the computer call.
-
CallID stringAn identifier used when responding to the tool call with output.
-
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
-
ID stringThe ID of the pending safety check.
-
Code stringThe type of the pending safety check.
-
Message stringDetails about the pending safety check.
-
-
Status ResponseComputerToolCallStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseComputerToolCallStatusInProgress ResponseComputerToolCallStatus = "in_progress" -
const ResponseComputerToolCallStatusCompleted ResponseComputerToolCallStatus = "completed" -
const ResponseComputerToolCallStatusIncomplete ResponseComputerToolCallStatus = "incomplete"
-
-
Type ResponseComputerToolCallTypeThe type of the computer call. Always
computer_call.const ResponseComputerToolCallTypeComputerCall ResponseComputerToolCallType = "computer_call"
-
Action ResponseComputerToolCallActionUnionA click action.
-
type ResponseComputerToolCallActionClick struct{…}A click action.
-
Button stringIndicates which mouse button was pressed during the click. One of
left,right,wheel,back, orforward.-
const ResponseComputerToolCallActionClickButtonLeft ResponseComputerToolCallActionClickButton = "left" -
const ResponseComputerToolCallActionClickButtonRight ResponseComputerToolCallActionClickButton = "right" -
const ResponseComputerToolCallActionClickButtonWheel ResponseComputerToolCallActionClickButton = "wheel" -
const ResponseComputerToolCallActionClickButtonBack ResponseComputerToolCallActionClickButton = "back" -
const ResponseComputerToolCallActionClickButtonForward ResponseComputerToolCallActionClickButton = "forward"
-
-
Type ClickSpecifies the event type. For a click action, this property is always
click.const ClickClick Click = "click"
-
X int64The x-coordinate where the click occurred.
-
Y int64The y-coordinate where the click occurred.
-
Keys []stringThe keys being held while clicking.
-
-
type ResponseComputerToolCallActionDoubleClick struct{…}A double click action.
-
Keys []stringThe keys being held while double-clicking.
-
Type DoubleClickSpecifies the event type. For a double click action, this property is always set to
double_click.const DoubleClickDoubleClick DoubleClick = "double_click"
-
X int64The x-coordinate where the double click occurred.
-
Y int64The y-coordinate where the double click occurred.
-
-
type ResponseComputerToolCallActionDrag struct{…}A drag action.
-
Path []ResponseComputerToolCallActionDragPathAn 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 int64The x-coordinate.
-
Y int64The y-coordinate.
-
-
Type DragSpecifies the event type. For a drag action, this property is always set to
drag.const DragDrag Drag = "drag"
-
Keys []stringThe keys being held while dragging the mouse.
-
-
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
-
Keys []stringThe combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.
-
Type KeypressSpecifies the event type. For a keypress action, this property is always set to
keypress.const KeypressKeypress Keypress = "keypress"
-
-
type ResponseComputerToolCallActionMove struct{…}A mouse move action.
-
Type MoveSpecifies the event type. For a move action, this property is always set to
move.const MoveMove Move = "move"
-
X int64The x-coordinate to move to.
-
Y int64The y-coordinate to move to.
-
Keys []stringThe keys being held while moving the mouse.
-
-
type ResponseComputerToolCallActionScreenshot struct{…}A screenshot action.
-
Type ScreenshotSpecifies the event type. For a screenshot action, this property is always set to
screenshot.const ScreenshotScreenshot Screenshot = "screenshot"
-
-
type ResponseComputerToolCallActionScroll struct{…}A scroll action.
-
ScrollX int64The horizontal scroll distance.
-
ScrollY int64The vertical scroll distance.
-
Type ScrollSpecifies the event type. For a scroll action, this property is always set to
scroll.const ScrollScroll Scroll = "scroll"
-
X int64The x-coordinate where the scroll occurred.
-
Y int64The y-coordinate where the scroll occurred.
-
Keys []stringThe keys being held while scrolling.
-
-
type ResponseComputerToolCallActionType struct{…}An action to type in text.
-
Text stringThe text to type.
-
Type TypeSpecifies the event type. For a type action, this property is always set to
type.const TypeType Type = "type"
-
-
type ResponseComputerToolCallActionWait struct{…}A wait action.
-
Type WaitSpecifies the event type. For a wait action, this property is always set to
wait.const WaitWait Wait = "wait"
-
-
-
Actions ComputerActionListFlattened batched actions for
computer_use. Each action includes antypediscriminator and action-specific fields.-
type ComputerActionClick struct{…}A click action.
-
Button stringIndicates which mouse button was pressed during the click. One of
left,right,wheel,back, orforward.-
const ComputerActionClickButtonLeft ComputerActionClickButton = "left" -
const ComputerActionClickButtonRight ComputerActionClickButton = "right" -
const ComputerActionClickButtonWheel ComputerActionClickButton = "wheel" -
const ComputerActionClickButtonBack ComputerActionClickButton = "back" -
const ComputerActionClickButtonForward ComputerActionClickButton = "forward"
-
-
Type ClickSpecifies the event type. For a click action, this property is always
click.const ClickClick Click = "click"
-
X int64The x-coordinate where the click occurred.
-
Y int64The y-coordinate where the click occurred.
-
Keys []stringThe keys being held while clicking.
-
-
type ComputerActionDoubleClick struct{…}A double click action.
-
Keys []stringThe keys being held while double-clicking.
-
Type DoubleClickSpecifies the event type. For a double click action, this property is always set to
double_click.const DoubleClickDoubleClick DoubleClick = "double_click"
-
X int64The x-coordinate where the double click occurred.
-
Y int64The y-coordinate where the double click occurred.
-
-
type ComputerActionDrag struct{…}A drag action.
-
Path []ComputerActionDragPathAn 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 int64The x-coordinate.
-
Y int64The y-coordinate.
-
-
Type DragSpecifies the event type. For a drag action, this property is always set to
drag.const DragDrag Drag = "drag"
-
Keys []stringThe keys being held while dragging the mouse.
-
-
type ComputerActionKeypress struct{…}A collection of keypresses the model would like to perform.
-
Keys []stringThe combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.
-
Type KeypressSpecifies the event type. For a keypress action, this property is always set to
keypress.const KeypressKeypress Keypress = "keypress"
-
-
type ComputerActionMove struct{…}A mouse move action.
-
Type MoveSpecifies the event type. For a move action, this property is always set to
move.const MoveMove Move = "move"
-
X int64The x-coordinate to move to.
-
Y int64The y-coordinate to move to.
-
Keys []stringThe keys being held while moving the mouse.
-
-
type ComputerActionScreenshot struct{…}A screenshot action.
-
Type ScreenshotSpecifies the event type. For a screenshot action, this property is always set to
screenshot.const ScreenshotScreenshot Screenshot = "screenshot"
-
-
type ComputerActionScroll struct{…}A scroll action.
-
ScrollX int64The horizontal scroll distance.
-
ScrollY int64The vertical scroll distance.
-
Type ScrollSpecifies the event type. For a scroll action, this property is always set to
scroll.const ScrollScroll Scroll = "scroll"
-
X int64The x-coordinate where the scroll occurred.
-
Y int64The y-coordinate where the scroll occurred.
-
Keys []stringThe keys being held while scrolling.
-
-
type ComputerActionType struct{…}An action to type in text.
-
Text stringThe text to type.
-
Type TypeSpecifies the event type. For a type action, this property is always set to
type.const TypeType Type = "type"
-
-
type ComputerActionWait struct{…}A wait action.
-
Type WaitSpecifies the event type. For a wait action, this property is always set to
wait.const WaitWait Wait = "wait"
-
-
-
-
type ResponseComputerToolCallOutputItem struct{…}-
ID stringThe unique ID of the computer call tool output.
-
CallID stringThe ID of the computer tool call that produced the output.
-
Output ResponseComputerToolCallOutputScreenshotA computer screenshot image used with the computer use tool.
-
Type ComputerScreenshotSpecifies the event type. For a computer screenshot, this property is always set to
computer_screenshot.const ComputerScreenshotComputerScreenshot ComputerScreenshot = "computer_screenshot"
-
FileID stringThe identifier of an uploaded file that contains the screenshot.
-
ImageURL stringThe URL of the screenshot image.
-
-
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of
in_progress,completed, orincomplete. Populated when input items are returned via API.-
const ResponseComputerToolCallOutputItemStatusCompleted ResponseComputerToolCallOutputItemStatus = "completed" -
const ResponseComputerToolCallOutputItemStatusIncomplete ResponseComputerToolCallOutputItemStatus = "incomplete" -
const ResponseComputerToolCallOutputItemStatusFailed ResponseComputerToolCallOutputItemStatus = "failed" -
const ResponseComputerToolCallOutputItemStatusInProgress ResponseComputerToolCallOutputItemStatus = "in_progress"
-
-
Type ComputerCallOutputThe type of the computer tool call output. Always
computer_call_output.const ComputerCallOutputComputerCallOutput ComputerCallOutput = "computer_call_output"
-
AcknowledgedSafetyChecks []ResponseComputerToolCallOutputItemAcknowledgedSafetyCheckThe safety checks reported by the API that have been acknowledged by the developer.
-
ID stringThe ID of the pending safety check.
-
Code stringThe type of the pending safety check.
-
Message stringDetails about the pending safety check.
-
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating a response. Be sure to include these items in your
inputto the Responses API for subsequent turns of a conversation if you are manually managing context.-
ID stringThe unique identifier of the reasoning content.
-
Summary []ResponseReasoningItemSummaryReasoning summary content.
-
Text stringA summary of the reasoning output from the model so far.
-
Type SummaryTextThe type of the object. Always
summary_text.const SummaryTextSummaryText SummaryText = "summary_text"
-
-
Type ReasoningThe type of the object. Always
reasoning.const ReasoningReasoning Reasoning = "reasoning"
-
Content []ResponseReasoningItemContentReasoning text content.
-
Text stringThe reasoning text from the model.
-
Type ReasoningTextThe type of the reasoning text. Always
reasoning_text.const ReasoningTextReasoningText ReasoningText = "reasoning_text"
-
-
EncryptedContent stringThe encrypted content of the reasoning item - populated when a response is generated with
reasoning.encrypted_contentin theincludeparameter. -
Status ResponseReasoningItemStatusThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseReasoningItemStatusInProgress ResponseReasoningItemStatus = "in_progress" -
const ResponseReasoningItemStatusCompleted ResponseReasoningItemStatus = "completed" -
const ResponseReasoningItemStatusIncomplete ResponseReasoningItemStatus = "incomplete"
-
-
-
type ResponseToolSearchCall struct{…}-
ID stringThe unique ID of the tool search call item.
-
Arguments anyArguments used for the tool search call.
-
CallID stringThe unique ID of the tool search call generated by the model.
-
Execution ResponseToolSearchCallExecutionWhether tool search was executed by the server or by the client.
-
const ResponseToolSearchCallExecutionServer ResponseToolSearchCallExecution = "server" -
const ResponseToolSearchCallExecutionClient ResponseToolSearchCallExecution = "client"
-
-
Status ResponseToolSearchCallStatusThe status of the tool search call item that was recorded.
-
const ResponseToolSearchCallStatusInProgress ResponseToolSearchCallStatus = "in_progress" -
const ResponseToolSearchCallStatusCompleted ResponseToolSearchCallStatus = "completed" -
const ResponseToolSearchCallStatusIncomplete ResponseToolSearchCallStatus = "incomplete"
-
-
Type ToolSearchCallThe type of the item. Always
tool_search_call.const ToolSearchCallToolSearchCall ToolSearchCall = "tool_search_call"
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
type ResponseToolSearchOutputItem struct{…}-
ID stringThe unique ID of the tool search output item.
-
CallID stringThe unique ID of the tool search call generated by the model.
-
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
-
const ResponseToolSearchOutputItemExecutionServer ResponseToolSearchOutputItemExecution = "server" -
const ResponseToolSearchOutputItemExecutionClient ResponseToolSearchOutputItemExecution = "client"
-
-
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
-
const ResponseToolSearchOutputItemStatusInProgress ResponseToolSearchOutputItemStatus = "in_progress" -
const ResponseToolSearchOutputItemStatusCompleted ResponseToolSearchOutputItemStatus = "completed" -
const ResponseToolSearchOutputItemStatusIncomplete ResponseToolSearchOutputItemStatus = "incomplete"
-
-
Tools []ToolUnionThe loaded tool definitions returned by tool search.
-
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
-
Name stringThe name of the function to call.
-
Parameters map[string, any]A JSON schema object describing the parameters of the function.
-
Strict boolWhether to enforce strict parameter validation. Default
true. -
Type FunctionThe type of the function tool. Always
function.const FunctionFunction Function = "function"
-
DeferLoading boolWhether this function is deferred and loaded via tool search.
-
Description stringA description of the function. Used by the model to determine whether or not to call the function.
-
-
type FileSearchTool struct{…}A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
-
Type FileSearchThe type of the file search tool. Always
file_search.const FileSearchFileSearch FileSearch = "file_search"
-
VectorStoreIDs []stringThe IDs of the vector stores to search.
-
Filters FileSearchToolFiltersUnionA filter to apply.
-
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
-
Key stringThe key to compare against the value.
-
Type ComparisonFilterTypeSpecifies the comparison operator:
eq,ne,gt,gte,lt,lte,in,nin.-
eq: equals -
ne: not equal -
gt: greater than -
gte: greater than or equal -
lt: less than -
lte: less than or equal -
in: in -
nin: not in -
const ComparisonFilterTypeEq ComparisonFilterType = "eq" -
const ComparisonFilterTypeNe ComparisonFilterType = "ne" -
const ComparisonFilterTypeGt ComparisonFilterType = "gt" -
const ComparisonFilterTypeGte ComparisonFilterType = "gte" -
const ComparisonFilterTypeLt ComparisonFilterType = "lt" -
const ComparisonFilterTypeLte ComparisonFilterType = "lte" -
const ComparisonFilterTypeIn ComparisonFilterType = "in" -
const ComparisonFilterTypeNin ComparisonFilterType = "nin"
-
-
Value ComparisonFilterValueUnionThe value to compare against the attribute key; supports string, number, or boolean types.
-
string -
float64 -
bool -
type ComparisonFilterValueArray []ComparisonFilterValueArrayItemUnion-
string -
float64
-
-
-
-
type CompoundFilter struct{…}Combine multiple filters using
andoror.-
Filters []ComparisonFilterArray of filters to combine. Items can be
ComparisonFilterorCompoundFilter.-
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
-
-
Type CompoundFilterTypeType of operation:
andoror.-
const CompoundFilterTypeAnd CompoundFilterType = "and" -
const CompoundFilterTypeOr CompoundFilterType = "or"
-
-
-
-
MaxNumResults int64The maximum number of results to return. This number should be between 1 and 50 inclusive.
-
RankingOptions FileSearchToolRankingOptionsRanking options for search.
-
HybridSearch FileSearchToolRankingOptionsHybridSearchWeights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled.
-
EmbeddingWeight float64The weight of the embedding in the reciprocal ranking fusion.
-
TextWeight float64The weight of the text in the reciprocal ranking fusion.
-
-
Ranker stringThe ranker to use for the file search.
-
const FileSearchToolRankingOptionsRankerAuto FileSearchToolRankingOptionsRanker = "auto" -
const FileSearchToolRankingOptionsRankerDefault2024_11_15 FileSearchToolRankingOptionsRanker = "default-2024-11-15"
-
-
ScoreThreshold float64The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results.
-
-
-
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
Type ComputerThe type of the computer tool. Always
computer.const ComputerComputer Computer = "computer"
-
-
type ComputerUsePreviewTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
DisplayHeight int64The height of the computer display.
-
DisplayWidth int64The width of the computer display.
-
Environment ComputerUsePreviewToolEnvironmentThe type of computer environment to control.
-
const ComputerUsePreviewToolEnvironmentWindows ComputerUsePreviewToolEnvironment = "windows" -
const ComputerUsePreviewToolEnvironmentMac ComputerUsePreviewToolEnvironment = "mac" -
const ComputerUsePreviewToolEnvironmentLinux ComputerUsePreviewToolEnvironment = "linux" -
const ComputerUsePreviewToolEnvironmentUbuntu ComputerUsePreviewToolEnvironment = "ubuntu" -
const ComputerUsePreviewToolEnvironmentBrowser ComputerUsePreviewToolEnvironment = "browser"
-
-
Type ComputerUsePreviewThe type of the computer use tool. Always
computer_use_preview.const ComputerUsePreviewComputerUsePreview ComputerUsePreview = "computer_use_preview"
-
-
type WebSearchTool struct{…}Search the Internet for sources related to the prompt. Learn more about the web search tool.
-
Type WebSearchToolTypeThe type of the web search tool. One of
web_searchorweb_search_2025_08_26.-
const WebSearchToolTypeWebSearch WebSearchToolType = "web_search" -
const WebSearchToolTypeWebSearch2025_08_26 WebSearchToolType = "web_search_2025_08_26"
-
-
Filters WebSearchToolFiltersFilters for the search.
-
AllowedDomains []stringAllowed 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 WebSearchToolSearchContextSizeHigh level guidance for the amount of context window space to use for the search. One of
low,medium, orhigh.mediumis the default.-
const WebSearchToolSearchContextSizeLow WebSearchToolSearchContextSize = "low" -
const WebSearchToolSearchContextSizeMedium WebSearchToolSearchContextSize = "medium" -
const WebSearchToolSearchContextSizeHigh WebSearchToolSearchContextSize = "high"
-
-
UserLocation WebSearchToolUserLocationThe approximate location of the user.
-
City stringFree text input for the city of the user, e.g.
San Francisco. -
Country stringThe two-letter ISO country code of the user, e.g.
US. -
Region stringFree text input for the region of the user, e.g.
California. -
Timezone stringThe IANA timezone of the user, e.g.
America/Los_Angeles. -
Type stringThe type of location approximation. Always
approximate.const WebSearchToolUserLocationTypeApproximate WebSearchToolUserLocationType = "approximate"
-
-
-
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
-
ServerLabel stringA label for this MCP server, used to identify it in tool calls.
-
Type McpThe type of the MCP tool. Always
mcp.const McpMcp Mcp = "mcp"
-
AllowedTools ToolMcpAllowedToolsUnionList of allowed tool names or a filter object.
-
type ToolMcpAllowedToolsMcpAllowedTools []stringA string array of allowed tool names
-
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
-
ReadOnly boolIndicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with
readOnlyHint, it will match this filter. -
ToolNames []stringList of allowed tool names.
-
-
-
Authorization stringAn 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 stringIdentifier for service connectors, like those available in ChatGPT. One of
server_url,connector_id, ortunnel_idmust be provided. Learn more about service connectors here.Currently supported
connector_idvalues are:-
Dropbox:
connector_dropbox -
Gmail:
connector_gmail -
Google Calendar:
connector_googlecalendar -
Google Drive:
connector_googledrive -
Microsoft Teams:
connector_microsoftteams -
Outlook Calendar:
connector_outlookcalendar -
Outlook Email:
connector_outlookemail -
SharePoint:
connector_sharepoint -
const ToolMcpConnectorIDConnectorDropbox ToolMcpConnectorID = "connector_dropbox" -
const ToolMcpConnectorIDConnectorGmail ToolMcpConnectorID = "connector_gmail" -
const ToolMcpConnectorIDConnectorGooglecalendar ToolMcpConnectorID = "connector_googlecalendar" -
const ToolMcpConnectorIDConnectorGoogledrive ToolMcpConnectorID = "connector_googledrive" -
const ToolMcpConnectorIDConnectorMicrosoftteams ToolMcpConnectorID = "connector_microsoftteams" -
const ToolMcpConnectorIDConnectorOutlookcalendar ToolMcpConnectorID = "connector_outlookcalendar" -
const ToolMcpConnectorIDConnectorOutlookemail ToolMcpConnectorID = "connector_outlookemail" -
const ToolMcpConnectorIDConnectorSharepoint ToolMcpConnectorID = "connector_sharepoint"
-
-
DeferLoading boolWhether 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 ToolMcpRequireApprovalUnionSpecify which of the MCP server's tools require approval.
-
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always,never, or a filter object associated with tools that require approval.-
Always ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysA filter object to specify which tools are allowed.
-
ReadOnly boolIndicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with
readOnlyHint, it will match this filter. -
ToolNames []stringList of allowed tool names.
-
-
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeverA filter object to specify which tools are allowed.
-
ReadOnly boolIndicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with
readOnlyHint, it will match this filter. -
ToolNames []stringList of allowed tool names.
-
-
-
type ToolMcpRequireApprovalMcpToolApprovalSetting stringSpecify a single approval policy for all tools. One of
alwaysornever. When set toalways, all tools will require approval. When set tonever, all tools will not require approval.-
const ToolMcpRequireApprovalMcpToolApprovalSettingAlways ToolMcpRequireApprovalMcpToolApprovalSetting = "always" -
const ToolMcpRequireApprovalMcpToolApprovalSettingNever ToolMcpRequireApprovalMcpToolApprovalSetting = "never"
-
-
-
ServerDescription stringOptional description of the MCP server, used to provide more context.
-
ServerURL stringThe URL for the MCP server. One of
server_url,connector_id, ortunnel_idmust be provided. -
TunnelID stringThe Secure MCP Tunnel ID to use instead of a direct server URL. One of
server_url,connector_id, ortunnel_idmust be provided.
-
-
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
-
Container ToolCodeInterpreterContainerUnionThe 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_limitsetting.-
string -
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
-
Type AutoAlways
auto.const AutoAuto Auto = "auto"
-
FileIDs []stringAn optional list of uploaded files to make available to your code.
-
MemoryLimit stringThe memory limit for the code interpreter container.
-
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit1g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "1g" -
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit4g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "4g" -
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit16g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "16g" -
const ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit64g ToolCodeInterpreterContainerCodeInterpreterToolAutoMemoryLimit = "64g"
-
-
NetworkPolicy ToolCodeInterpreterContainerCodeInterpreterToolAutoNetworkPolicyUnionNetwork access policy for the container.
-
type ContainerNetworkPolicyDisabled struct{…}-
Type DisabledDisable outbound network access. Always
disabled.const DisabledDisabled Disabled = "disabled"
-
-
type ContainerNetworkPolicyAllowlist struct{…}-
AllowedDomains []stringA list of allowed domains when type is
allowlist. -
Type AllowlistAllow outbound network access only to specified domains. Always
allowlist.const AllowlistAllowlist Allowlist = "allowlist"
-
DomainSecrets []ContainerNetworkPolicyDomainSecretOptional domain-scoped secrets for allowlisted domains.
-
Domain stringThe domain associated with the secret.
-
Name stringThe name of the secret to inject for the domain.
-
Value stringThe secret value to inject for the domain.
-
-
-
-
-
-
Type CodeInterpreterThe type of the code interpreter tool. Always
code_interpreter.const CodeInterpreterCodeInterpreter CodeInterpreter = "code_interpreter"
-
-
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
-
Type ImageGenerationThe type of the image generation tool. Always
image_generation.const ImageGenerationImageGeneration ImageGeneration = "image_generation"
-
Action stringWhether to generate a new image or edit an existing image. Default:
auto.-
const ToolImageGenerationActionGenerate ToolImageGenerationAction = "generate" -
const ToolImageGenerationActionEdit ToolImageGenerationAction = "edit" -
const ToolImageGenerationActionAuto ToolImageGenerationAction = "auto"
-
-
Background stringAllows 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, orauto(default value). Whenautois used, the model will automatically determine the best background for the image.gpt-image-2andgpt-image-2-2026-04-21do not support transparent backgrounds. Requests withbackgroundset totransparentwill return an error for these models; useopaqueorautoinstead.If
transparent, the output format needs to support transparency, so it should be set to eitherpng(default value) orwebp.-
const ToolImageGenerationBackgroundTransparent ToolImageGenerationBackground = "transparent" -
const ToolImageGenerationBackgroundOpaque ToolImageGenerationBackground = "opaque" -
const ToolImageGenerationBackgroundAuto ToolImageGenerationBackground = "auto"
-
-
InputFidelity stringControl 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-1andgpt-image-1.5and later models, unsupported forgpt-image-1-mini. Supportshighandlow. Defaults tolow.-
const ToolImageGenerationInputFidelityHigh ToolImageGenerationInputFidelity = "high" -
const ToolImageGenerationInputFidelityLow ToolImageGenerationInputFidelity = "low"
-
-
InputImageMask ToolImageGenerationInputImageMaskOptional mask for inpainting. Contains
image_url(string, optional) andfile_id(string, optional).-
FileID stringFile ID for the mask image.
-
ImageURL stringBase64-encoded mask image.
-
-
Model stringThe image generation model to use. Default:
gpt-image-1.-
string -
string-
const ToolImageGenerationModelGPTImage1 ToolImageGenerationModel = "gpt-image-1" -
const ToolImageGenerationModelGPTImage1Mini ToolImageGenerationModel = "gpt-image-1-mini" -
const ToolImageGenerationModelGPTImage2 ToolImageGenerationModel = "gpt-image-2" -
const ToolImageGenerationModelGPTImage2_2026_04_21 ToolImageGenerationModel = "gpt-image-2-2026-04-21" -
const ToolImageGenerationModelGPTImage1_5 ToolImageGenerationModel = "gpt-image-1.5" -
const ToolImageGenerationModelChatgptImageLatest ToolImageGenerationModel = "chatgpt-image-latest"
-
-
-
Moderation stringModeration level for the generated image. Default:
auto.-
const ToolImageGenerationModerationAuto ToolImageGenerationModeration = "auto" -
const ToolImageGenerationModerationLow ToolImageGenerationModeration = "low"
-
-
OutputCompression int64Compression level for the output image. Default: 100.
-
OutputFormat stringThe output format of the generated image. One of
png,webp, orjpeg. Default:png.-
const ToolImageGenerationOutputFormatPNG ToolImageGenerationOutputFormat = "png" -
const ToolImageGenerationOutputFormatWebP ToolImageGenerationOutputFormat = "webp" -
const ToolImageGenerationOutputFormatJPEG ToolImageGenerationOutputFormat = "jpeg"
-
-
PartialImages int64Number of partial images to generate in streaming mode, from 0 (default value) to 3.
-
Quality stringThe quality of the generated image. One of
low,medium,high, orauto. Default:auto.-
const ToolImageGenerationQualityLow ToolImageGenerationQuality = "low" -
const ToolImageGenerationQualityMedium ToolImageGenerationQuality = "medium" -
const ToolImageGenerationQualityHigh ToolImageGenerationQuality = "high" -
const ToolImageGenerationQualityAuto ToolImageGenerationQuality = "auto"
-
-
Size stringThe size of the generated images. For
gpt-image-2andgpt-image-2-2026-04-21, arbitrary resolutions are supported asWIDTHxHEIGHTstrings, for example1536x864. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above2560x1440are experimental, and the maximum supported resolution is3840x2160. The requested size must also satisfy the model's current pixel and edge limits. The standard sizes1024x1024,1536x1024, and1024x1536are supported by the GPT image models;autois supported for models that allow automatic sizing. Fordall-e-2, use one of256x256,512x512, or1024x1024. Fordall-e-3, use one of1024x1024,1792x1024, or1024x1792.-
string -
string-
const ToolImageGenerationSize1024x1024 ToolImageGenerationSize = "1024x1024" -
const ToolImageGenerationSize1024x1536 ToolImageGenerationSize = "1024x1536" -
const ToolImageGenerationSize1536x1024 ToolImageGenerationSize = "1536x1024" -
const ToolImageGenerationSizeAuto ToolImageGenerationSize = "auto"
-
-
-
-
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
-
Type LocalShellThe type of the local shell tool. Always
local_shell.const LocalShellLocalShell LocalShell = "local_shell"
-
-
type FunctionShellTool struct{…}A tool that allows the model to execute shell commands.
-
Type ShellThe type of the shell tool. Always
shell.const ShellShell Shell = "shell"
-
Environment FunctionShellToolEnvironmentUnion-
type ContainerAuto struct{…}-
Type ContainerAutoAutomatically creates a container for this request
const ContainerAutoContainerAuto ContainerAuto = "container_auto"
-
FileIDs []stringAn optional list of uploaded files to make available to your code.
-
MemoryLimit ContainerAutoMemoryLimitThe memory limit for the container.
-
const ContainerAutoMemoryLimit1g ContainerAutoMemoryLimit = "1g" -
const ContainerAutoMemoryLimit4g ContainerAutoMemoryLimit = "4g" -
const ContainerAutoMemoryLimit16g ContainerAutoMemoryLimit = "16g" -
const ContainerAutoMemoryLimit64g ContainerAutoMemoryLimit = "64g"
-
-
NetworkPolicy ContainerAutoNetworkPolicyUnionNetwork access policy for the container.
-
type ContainerNetworkPolicyDisabled struct{…} -
type ContainerNetworkPolicyAllowlist struct{…}
-
-
Skills []ContainerAutoSkillUnionAn optional list of skills referenced by id or inline data.
-
type SkillReference struct{…}-
SkillID stringThe ID of the referenced skill.
-
Type SkillReferenceReferences a skill created with the /v1/skills endpoint.
const SkillReferenceSkillReference SkillReference = "skill_reference"
-
Version stringOptional skill version. Use a positive integer or 'latest'. Omit for default.
-
-
type InlineSkill struct{…}-
Description stringThe description of the skill.
-
Name stringThe name of the skill.
-
Source InlineSkillSourceInline skill payload
-
Data stringBase64-encoded skill zip bundle.
-
MediaType ApplicationZipThe media type of the inline skill payload. Must be
application/zip.const ApplicationZipApplicationZip ApplicationZip = "application/zip"
-
Type Base64The type of the inline skill source. Must be
base64.const Base64Base64 Base64 = "base64"
-
-
Type InlineDefines an inline skill for this request.
const InlineInline Inline = "inline"
-
-
-
-
type LocalEnvironment struct{…}-
Type LocalUse a local computer environment.
const LocalLocal Local = "local"
-
Skills []LocalSkillAn optional list of skills.
-
Description stringThe description of the skill.
-
Name stringThe name of the skill.
-
Path stringThe path to the directory containing the skill.
-
-
-
type ContainerReference struct{…}-
ContainerID stringThe ID of the referenced container.
-
Type ContainerReferenceReferences a container created with the /v1/containers endpoint
const ContainerReferenceContainerReference ContainerReference = "container_reference"
-
-
-
-
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
-
Name stringThe name of the custom tool, used to identify it in tool calls.
-
Type CustomThe type of the custom tool. Always
custom.const CustomCustom Custom = "custom"
-
DeferLoading boolWhether this tool should be deferred and discovered via tool search.
-
Description stringOptional description of the custom tool, used to provide more context.
-
Format CustomToolInputFormatUnionThe input format for the custom tool. Default is unconstrained text.
-
type CustomToolInputFormatText struct{…}Unconstrained free-form text.
-
Type TextUnconstrained text format. Always
text.const TextText Text = "text"
-
-
type CustomToolInputFormatGrammar struct{…}A grammar defined by the user.
-
Definition stringThe grammar definition.
-
Syntax stringThe syntax of the grammar definition. One of
larkorregex.-
const CustomToolInputFormatGrammarSyntaxLark CustomToolInputFormatGrammarSyntax = "lark" -
const CustomToolInputFormatGrammarSyntaxRegex CustomToolInputFormatGrammarSyntax = "regex"
-
-
Type GrammarGrammar format. Always
grammar.const GrammarGrammar Grammar = "grammar"
-
-
-
-
type NamespaceTool struct{…}Groups function/custom tools under a shared namespace.
-
Description stringA description of the namespace shown to the model.
-
Name stringThe namespace name used in tool calls (for example,
crm). -
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
-
type NamespaceToolToolFunction struct{…}-
Name string -
Type Functionconst FunctionFunction Function = "function"
-
DeferLoading boolWhether this function should be deferred and discovered via tool search.
-
Description string -
Parameters any -
Strict bool
-
-
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
-
-
Type NamespaceThe type of the tool. Always
namespace.const NamespaceNamespace Namespace = "namespace"
-
-
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
-
Type ToolSearchThe type of the tool. Always
tool_search.const ToolSearchToolSearch ToolSearch = "tool_search"
-
Description stringDescription shown to the model for a client-executed tool search tool.
-
Execution ToolSearchToolExecutionWhether tool search is executed by the server or by the client.
-
const ToolSearchToolExecutionServer ToolSearchToolExecution = "server" -
const ToolSearchToolExecutionClient ToolSearchToolExecution = "client"
-
-
Parameters anyParameter schema for a client-executed tool search tool.
-
-
type WebSearchPreviewTool struct{…}This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
-
Type WebSearchPreviewToolTypeThe type of the web search tool. One of
web_search_previeworweb_search_preview_2025_03_11.-
const WebSearchPreviewToolTypeWebSearchPreview WebSearchPreviewToolType = "web_search_preview" -
const WebSearchPreviewToolTypeWebSearchPreview2025_03_11 WebSearchPreviewToolType = "web_search_preview_2025_03_11"
-
-
SearchContentTypes []string-
const WebSearchPreviewToolSearchContentTypeText WebSearchPreviewToolSearchContentType = "text" -
const WebSearchPreviewToolSearchContentTypeImage WebSearchPreviewToolSearchContentType = "image"
-
-
SearchContextSize WebSearchPreviewToolSearchContextSizeHigh level guidance for the amount of context window space to use for the search. One of
low,medium, orhigh.mediumis the default.-
const WebSearchPreviewToolSearchContextSizeLow WebSearchPreviewToolSearchContextSize = "low" -
const WebSearchPreviewToolSearchContextSizeMedium WebSearchPreviewToolSearchContextSize = "medium" -
const WebSearchPreviewToolSearchContextSizeHigh WebSearchPreviewToolSearchContextSize = "high"
-
-
UserLocation WebSearchPreviewToolUserLocationThe user's location.
-
Type ApproximateThe type of location approximation. Always
approximate.const ApproximateApproximate Approximate = "approximate"
-
City stringFree text input for the city of the user, e.g.
San Francisco. -
Country stringThe two-letter ISO country code of the user, e.g.
US. -
Region stringFree text input for the region of the user, e.g.
California. -
Timezone stringThe IANA timezone of the user, e.g.
America/Los_Angeles.
-
-
-
type ApplyPatchTool struct{…}Allows the assistant to create, delete, or update files using unified diffs.
-
Type ApplyPatchThe type of the tool. Always
apply_patch.const ApplyPatchApplyPatch ApplyPatch = "apply_patch"
-
-
-
Type ToolSearchOutputThe type of the item. Always
tool_search_output.const ToolSearchOutputToolSearchOutput ToolSearchOutput = "tool_search_output"
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
type ResponseOutputItemAdditionalTools struct{…}-
ID stringThe unique ID of the additional tools item.
-
Role stringThe role that provided the additional tools.
-
const ResponseOutputItemAdditionalToolsRoleUnknown ResponseOutputItemAdditionalToolsRole = "unknown" -
const ResponseOutputItemAdditionalToolsRoleUser ResponseOutputItemAdditionalToolsRole = "user" -
const ResponseOutputItemAdditionalToolsRoleAssistant ResponseOutputItemAdditionalToolsRole = "assistant" -
const ResponseOutputItemAdditionalToolsRoleSystem ResponseOutputItemAdditionalToolsRole = "system" -
const ResponseOutputItemAdditionalToolsRoleCritic ResponseOutputItemAdditionalToolsRole = "critic" -
const ResponseOutputItemAdditionalToolsRoleDiscriminator ResponseOutputItemAdditionalToolsRole = "discriminator" -
const ResponseOutputItemAdditionalToolsRoleDeveloper ResponseOutputItemAdditionalToolsRole = "developer" -
const ResponseOutputItemAdditionalToolsRoleTool ResponseOutputItemAdditionalToolsRole = "tool"
-
-
Tools []ToolUnionThe additional tool definitions made available at this item.
-
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
-
type FileSearchTool struct{…}A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
-
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
type ComputerUsePreviewTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
-
type WebSearchTool struct{…}Search the Internet for sources related to the prompt. Learn more about the web search tool.
-
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
-
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
-
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
-
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
-
type FunctionShellTool struct{…}A tool that allows the model to execute shell commands.
-
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
-
type NamespaceTool struct{…}Groups function/custom tools under a shared namespace.
-
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
-
type WebSearchPreviewTool struct{…}This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
-
type ApplyPatchTool struct{…}Allows the assistant to create, delete, or update files using unified diffs.
-
-
Type AdditionalToolsThe type of the item. Always
additional_tools.const AdditionalToolsAdditionalTools AdditionalTools = "additional_tools"
-
-
type ResponseCompactionItem struct{…}A compaction item generated by the
v1/responses/compactAPI.-
ID stringThe unique ID of the compaction item.
-
EncryptedContent stringThe encrypted content that was produced by compaction.
-
Type CompactionThe type of the item. Always
compaction.const CompactionCompaction Compaction = "compaction"
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
type ResponseOutputItemImageGenerationCall struct{…}An image generation request made by the model.
-
ID stringThe unique ID of the image generation call.
-
Result stringThe generated image encoded in base64.
-
Status stringThe status of the image generation call.
-
const ResponseOutputItemImageGenerationCallStatusInProgress ResponseOutputItemImageGenerationCallStatus = "in_progress" -
const ResponseOutputItemImageGenerationCallStatusCompleted ResponseOutputItemImageGenerationCallStatus = "completed" -
const ResponseOutputItemImageGenerationCallStatusGenerating ResponseOutputItemImageGenerationCallStatus = "generating" -
const ResponseOutputItemImageGenerationCallStatusFailed ResponseOutputItemImageGenerationCallStatus = "failed"
-
-
Type ImageGenerationCallThe type of the image generation call. Always
image_generation_call.const ImageGenerationCallImageGenerationCall ImageGenerationCall = "image_generation_call"
-
-
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
-
ID stringThe unique ID of the code interpreter tool call.
-
Code stringThe code to run, or null if not available.
-
ContainerID stringThe ID of the container used to run the code.
-
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
-
type ResponseCodeInterpreterToolCallOutputLogs struct{…}The logs output from the code interpreter.
-
Logs stringThe logs output from the code interpreter.
-
Type LogsThe type of the output. Always
logs.const LogsLogs Logs = "logs"
-
-
type ResponseCodeInterpreterToolCallOutputImage struct{…}The image output from the code interpreter.
-
Type ImageThe type of the output. Always
image.const ImageImage Image = "image"
-
URL stringThe URL of the image output from the code interpreter.
-
-
-
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are
in_progress,completed,incomplete,interpreting, andfailed.-
const ResponseCodeInterpreterToolCallStatusInProgress ResponseCodeInterpreterToolCallStatus = "in_progress" -
const ResponseCodeInterpreterToolCallStatusCompleted ResponseCodeInterpreterToolCallStatus = "completed" -
const ResponseCodeInterpreterToolCallStatusIncomplete ResponseCodeInterpreterToolCallStatus = "incomplete" -
const ResponseCodeInterpreterToolCallStatusInterpreting ResponseCodeInterpreterToolCallStatus = "interpreting" -
const ResponseCodeInterpreterToolCallStatusFailed ResponseCodeInterpreterToolCallStatus = "failed"
-
-
Type CodeInterpreterCallThe type of the code interpreter tool call. Always
code_interpreter_call.const CodeInterpreterCallCodeInterpreterCall CodeInterpreterCall = "code_interpreter_call"
-
-
type ResponseOutputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
-
ID stringThe unique ID of the local shell call.
-
Action ResponseOutputItemLocalShellCallActionExecute a shell command on the server.
-
Command []stringThe command to run.
-
Env map[string, string]Environment variables to set for the command.
-
Type ExecThe type of the local shell action. Always
exec.const ExecExec Exec = "exec"
-
TimeoutMs int64Optional timeout in milliseconds for the command.
-
User stringOptional user to run the command as.
-
WorkingDirectory stringOptional working directory to run the command in.
-
-
CallID stringThe unique ID of the local shell tool call generated by the model.
-
Status stringThe status of the local shell call.
-
const ResponseOutputItemLocalShellCallStatusInProgress ResponseOutputItemLocalShellCallStatus = "in_progress" -
const ResponseOutputItemLocalShellCallStatusCompleted ResponseOutputItemLocalShellCallStatus = "completed" -
const ResponseOutputItemLocalShellCallStatusIncomplete ResponseOutputItemLocalShellCallStatus = "incomplete"
-
-
Type LocalShellCallThe type of the local shell call. Always
local_shell_call.const LocalShellCallLocalShellCall LocalShellCall = "local_shell_call"
-
-
type ResponseOutputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
-
ID stringThe unique ID of the local shell tool call generated by the model.
-
Output stringA JSON string of the output of the local shell tool call.
-
Type LocalShellCallOutputThe type of the local shell tool call output. Always
local_shell_call_output.const LocalShellCallOutputLocalShellCallOutput LocalShellCallOutput = "local_shell_call_output"
-
Status stringThe status of the item. One of
in_progress,completed, orincomplete.-
const ResponseOutputItemLocalShellCallOutputStatusInProgress ResponseOutputItemLocalShellCallOutputStatus = "in_progress" -
const ResponseOutputItemLocalShellCallOutputStatusCompleted ResponseOutputItemLocalShellCallOutputStatus = "completed" -
const ResponseOutputItemLocalShellCallOutputStatusIncomplete ResponseOutputItemLocalShellCallOutputStatus = "incomplete"
-
-
-
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
-
ID stringThe unique ID of the shell tool call. Populated when this item is returned via API.
-
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
-
Commands []string -
MaxOutputLength int64Optional maximum number of characters to return from each command.
-
TimeoutMs int64Optional timeout in milliseconds for the commands.
-
-
CallID stringThe unique ID of the shell tool call generated by the model.
-
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
-
type ResponseLocalEnvironment struct{…}Represents the use of a local environment to perform shell actions.
-
Type LocalThe environment type. Always
local.const LocalLocal Local = "local"
-
-
type ResponseContainerReference struct{…}Represents a container created with /v1/containers.
-
ContainerID string -
Type ContainerReferenceThe environment type. Always
container_reference.const ContainerReferenceContainerReference ContainerReference = "container_reference"
-
-
-
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of
in_progress,completed, orincomplete.-
const ResponseFunctionShellToolCallStatusInProgress ResponseFunctionShellToolCallStatus = "in_progress" -
const ResponseFunctionShellToolCallStatusCompleted ResponseFunctionShellToolCallStatus = "completed" -
const ResponseFunctionShellToolCallStatusIncomplete ResponseFunctionShellToolCallStatus = "incomplete"
-
-
Type ShellCallThe type of the item. Always
shell_call.const ShellCallShellCall ShellCall = "shell_call"
-
CreatedBy stringThe ID of the entity that created this tool call.
-
-
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
-
ID stringThe unique ID of the shell call output. Populated when this item is returned via API.
-
CallID stringThe unique ID of the shell tool call generated by the model.
-
MaxOutputLength int64The maximum length of the shell command output. This is generated by the model and should be passed back with the raw output.
-
Output []ResponseFunctionShellToolCallOutputOutputAn array of shell call output contents
-
Outcome ResponseFunctionShellToolCallOutputOutputOutcomeUnionRepresents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
-
type ResponseFunctionShellToolCallOutputOutputOutcomeTimeout struct{…}Indicates that the shell call exceeded its configured time limit.
-
Type TimeoutThe outcome type. Always
timeout.const TimeoutTimeout Timeout = "timeout"
-
-
type ResponseFunctionShellToolCallOutputOutputOutcomeExit struct{…}Indicates that the shell commands finished and returned an exit code.
-
ExitCode int64Exit code from the shell process.
-
Type ExitThe outcome type. Always
exit.const ExitExit Exit = "exit"
-
-
-
Stderr stringThe standard error output that was captured.
-
Stdout stringThe standard output that was captured.
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of
in_progress,completed, orincomplete.-
const ResponseFunctionShellToolCallOutputStatusInProgress ResponseFunctionShellToolCallOutputStatus = "in_progress" -
const ResponseFunctionShellToolCallOutputStatusCompleted ResponseFunctionShellToolCallOutputStatus = "completed" -
const ResponseFunctionShellToolCallOutputStatusIncomplete ResponseFunctionShellToolCallOutputStatus = "incomplete"
-
-
Type ShellCallOutputThe type of the shell call output. Always
shell_call_output.const ShellCallOutputShellCallOutput ShellCallOutput = "shell_call_output"
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
-
ID stringThe unique ID of the apply patch tool call. Populated when this item is returned via API.
-
CallID stringThe unique ID of the apply patch tool call generated by the model.
-
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
-
type ResponseApplyPatchToolCallOperationCreateFile struct{…}Instruction describing how to create a file via the apply_patch tool.
-
Diff stringDiff to apply.
-
Path stringPath of the file to create.
-
Type CreateFileCreate a new file with the provided diff.
const CreateFileCreateFile CreateFile = "create_file"
-
-
type ResponseApplyPatchToolCallOperationDeleteFile struct{…}Instruction describing how to delete a file via the apply_patch tool.
-
Path stringPath of the file to delete.
-
Type DeleteFileDelete the specified file.
const DeleteFileDeleteFile DeleteFile = "delete_file"
-
-
type ResponseApplyPatchToolCallOperationUpdateFile struct{…}Instruction describing how to update a file via the apply_patch tool.
-
Diff stringDiff to apply.
-
Path stringPath of the file to update.
-
Type UpdateFileUpdate an existing file with the provided diff.
const UpdateFileUpdateFile UpdateFile = "update_file"
-
-
-
Status ResponseApplyPatchToolCallStatusThe status of the apply patch tool call. One of
in_progressorcompleted.-
const ResponseApplyPatchToolCallStatusInProgress ResponseApplyPatchToolCallStatus = "in_progress" -
const ResponseApplyPatchToolCallStatusCompleted ResponseApplyPatchToolCallStatus = "completed"
-
-
Type ApplyPatchCallThe type of the item. Always
apply_patch_call.const ApplyPatchCallApplyPatchCall ApplyPatchCall = "apply_patch_call"
-
CreatedBy stringThe ID of the entity that created this tool call.
-
-
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
-
ID stringThe unique ID of the apply patch tool call output. Populated when this item is returned via API.
-
CallID stringThe unique ID of the apply patch tool call generated by the model.
-
Status ResponseApplyPatchToolCallOutputStatusThe status of the apply patch tool call output. One of
completedorfailed.-
const ResponseApplyPatchToolCallOutputStatusCompleted ResponseApplyPatchToolCallOutputStatus = "completed" -
const ResponseApplyPatchToolCallOutputStatusFailed ResponseApplyPatchToolCallOutputStatus = "failed"
-
-
Type ApplyPatchCallOutputThe type of the item. Always
apply_patch_call_output.const ApplyPatchCallOutputApplyPatchCallOutput ApplyPatchCallOutput = "apply_patch_call_output"
-
CreatedBy stringThe ID of the entity that created this tool call output.
-
Output stringOptional textual output returned by the apply patch tool.
-
-
type ResponseOutputItemMcpCall struct{…}An invocation of a tool on an MCP server.
-
ID stringThe unique ID of the tool call.
-
Arguments stringA JSON string of the arguments passed to the tool.
-
Name stringThe name of the tool that was run.
-
ServerLabel stringThe label of the MCP server running the tool.
-
Type McpCallThe type of the item. Always
mcp_call.const McpCallMcpCall McpCall = "mcp_call"
-
ApprovalRequestID stringUnique identifier for the MCP tool call approval request. Include this value in a subsequent
mcp_approval_responseinput to approve or reject the corresponding tool call. -
Error stringThe error from the tool call, if any.
-
Output stringThe output from the tool call.
-
Status stringThe status of the tool call. One of
in_progress,completed,incomplete,calling, orfailed.-
const ResponseOutputItemMcpCallStatusInProgress ResponseOutputItemMcpCallStatus = "in_progress" -
const ResponseOutputItemMcpCallStatusCompleted ResponseOutputItemMcpCallStatus = "completed" -
const ResponseOutputItemMcpCallStatusIncomplete ResponseOutputItemMcpCallStatus = "incomplete" -
const ResponseOutputItemMcpCallStatusCalling ResponseOutputItemMcpCallStatus = "calling" -
const ResponseOutputItemMcpCallStatusFailed ResponseOutputItemMcpCallStatus = "failed"
-
-
-
type ResponseOutputItemMcpListTools struct{…}A list of tools available on an MCP server.
-
ID stringThe unique ID of the list.
-
ServerLabel stringThe label of the MCP server.
-
Tools []ResponseOutputItemMcpListToolsToolThe tools available on the server.
-
InputSchema anyThe JSON schema describing the tool's input.
-
Name stringThe name of the tool.
-
Annotations anyAdditional annotations about the tool.
-
Description stringThe description of the tool.
-
-
Type McpListToolsThe type of the item. Always
mcp_list_tools.const McpListToolsMcpListTools McpListTools = "mcp_list_tools"
-
Error stringError message if the server could not list tools.
-
-
type ResponseOutputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
-
ID stringThe unique ID of the approval request.
-
Arguments stringA JSON string of arguments for the tool.
-
Name stringThe name of the tool to run.
-
ServerLabel stringThe label of the MCP server making the request.
-
Type McpApprovalRequestThe type of the item. Always
mcp_approval_request.const McpApprovalRequestMcpApprovalRequest McpApprovalRequest = "mcp_approval_request"
-
-
type ResponseOutputItemMcpApprovalResponse struct{…}A response to an MCP approval request.
-
ID stringThe unique ID of the approval response
-
ApprovalRequestID stringThe ID of the approval request being answered.
-
Approve boolWhether the request was approved.
-
Type McpApprovalResponseThe type of the item. Always
mcp_approval_response.const McpApprovalResponseMcpApprovalResponse McpApprovalResponse = "mcp_approval_response"
-
Reason stringOptional reason for the decision.
-
-
type ResponseCustomToolCall struct{…}A call to a custom tool created by the model.
-
CallID stringAn identifier used to map this custom tool call to a tool call output.
-
Input stringThe input for the custom tool call generated by the model.
-
Name stringThe name of the custom tool being called.
-
Type CustomToolCallThe type of the custom tool call. Always
custom_tool_call.const CustomToolCallCustomToolCall CustomToolCall = "custom_tool_call"
-
ID stringThe unique ID of the custom tool call in the OpenAI platform.
-
Namespace stringThe namespace of the custom tool being called.
-
-
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
-
ID stringThe unique ID of the custom tool call output item.
-
Status stringThe status of the item. One of
in_progress,completed, orincomplete. Populated when items are returned via API.-
const ResponseCustomToolCallOutputItemStatusInProgress ResponseCustomToolCallOutputItemStatus = "in_progress" -
const ResponseCustomToolCallOutputItemStatusCompleted ResponseCustomToolCallOutputItemStatus = "completed" -
const ResponseCustomToolCallOutputItemStatusIncomplete ResponseCustomToolCallOutputItemStatus = "incomplete"
-
-
CreatedBy stringThe identifier of the actor that created the item.
-
-
-
Usage ResponseUsageToken accounting for the compaction pass, including cached, reasoning, and total tokens.
-
InputTokens int64The number of input tokens.
-
InputTokensDetails ResponseUsageInputTokensDetailsA detailed breakdown of the input tokens.
-
CachedTokens int64The number of tokens that were retrieved from the cache. More on prompt caching.
-
-
OutputTokens int64The number of output tokens.
-
OutputTokensDetails ResponseUsageOutputTokensDetailsA detailed breakdown of the output tokens.
-
ReasoningTokens int64The number of reasoning tokens.
-
-
TotalTokens int64The total number of tokens used.
-
-
Example
package main
import (
"context"
"fmt"
"github.com/openai/openai-go"
"github.com/openai/openai-go/option"
"github.com/openai/openai-go/responses"
)
func main() {
client := openai.NewClient(
option.WithAPIKey("My API Key"),
)
compactedResponse, err := client.Responses.Compact(context.TODO(), responses.ResponseCompactParams{
Model: responses.ResponseCompactParamsModelGPT5_4,
})
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", compactedResponse.ID)
}
Response
{
"id": "id",
"created_at": 0,
"object": "response.compaction",
"output": [
{
"id": "id",
"content": [
{
"annotations": [
{
"file_id": "file_id",
"filename": "filename",
"index": 0,
"type": "file_citation"
}
],
"text": "text",
"type": "output_text",
"logprobs": [
{
"token": "token",
"bytes": [
0
],
"logprob": 0,
"top_logprobs": [
{
"token": "token",
"bytes": [
0
],
"logprob": 0
}
]
}
]
}
],
"role": "assistant",
"status": "in_progress",
"type": "message",
"phase": "commentary"
}
],
"usage": {
"input_tokens": 0,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 0,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 0
}
}