Responses
Get a model response
Cancel a response
Compact a response
ModelsExpand Collapse
type CompactedResponse struct{…}
Output []ResponseOutputItemUnionThe compacted list of output items. This is a list of all user messages, followed by a single compaction item.
The 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.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallOutputItem struct{…}
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code.
Can be a string or an list of output content.
The output from the function call generated by your code. Can be a string or an list of output content.
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
Text, image, or file output of the function call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseComputerToolCallOutputItem struct{…}
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseToolSearchCall struct{…}
type ResponseToolSearchOutputItem struct{…}
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
The status of the tool search output item that was recorded.
Tools []ToolUnionThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ResponseCompactionItem struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseOutputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseOutputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseOutputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
A tool call that executes one or more shell commands in a managed environment.
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
The shell commands and limits that describe how to run the tool call.
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of in_progress, completed, or incomplete.
The status of the shell call. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
The output of a shell tool call that was emitted.
The 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
An 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.
Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of in_progress, completed, or incomplete.
The status of the shell call output. One of in_progress, completed, or incomplete.
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
A tool call that applies file diffs by creating, deleting, or updating files.
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
One of the create_file, delete_file, or update_file operations applied via apply_patch.
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
type ResponseOutputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseOutputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseOutputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Status stringThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Token accounting for the compaction pass, including cached, reasoning, and total tokens.
type ComputerActionUnion interface{…}A click action.
A click action.
type ComputerActionClick struct{…}A click action.
A click action.
type ComputerActionDrag struct{…}A drag action.
A drag action.
Flattened batched actions for computer_use. Each action includes an
type discriminator and action-specific fields.
Flattened batched actions for computer_use. Each action includes an
type discriminator and action-specific fields.
type ComputerActionClick struct{…}A click action.
A click action.
type ComputerActionDrag struct{…}A drag action.
A drag action.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
A tool that controls a virtual computer. Learn more about the computer tool.
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type EasyInputMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
Content EasyInputMessageContentUnionText, image, or audio input to the model, used to generate a response.
Can also contain previous assistant responses.
Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.
A list of one or many input items to the model, containing different content
types.
A list of one or many input items to the model, containing different content types.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Role EasyInputMessageRoleThe role of the message input. One of user, assistant, system, or
developer.
The role of the message input. One of user, assistant, system, or
developer.
Phase EasyInputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type FileSearchTool struct{…}A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type FunctionShellTool struct{…}A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
type InlineSkill struct{…}
Inline skill payload
type NamespaceTool struct{…}Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type Response struct{…}
An error object returned when the model fails to generate a Response.
Instructions ResponseInstructionsUnionA system (or developer) message inserted into the model's context.
When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.
A system (or developer) message inserted into the model's context.
When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.
A list of one or many input items to the model, containing
different content types.
A list of one or many input items to the model, containing different content types.
type EasyInputMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
Content EasyInputMessageContentUnionText, image, or audio input to the model, used to generate a response.
Can also contain previous assistant responses.
Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.
A list of one or many input items to the model, containing different content
types.
A list of one or many input items to the model, containing different content types.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Role EasyInputMessageRoleThe role of the message input. One of user, assistant, system, or
developer.
The role of the message input. One of user, assistant, system, or
developer.
Phase EasyInputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseInputItemMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A list of one or many input items to the model, containing different content types.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseInputItemComputerCallOutput struct{…}The output of a computer tool call.
The output of a computer tool call.
AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheckoptionalThe safety checks reported by the API that have been acknowledged by the developer.
The safety checks reported by the API that have been acknowledged by the developer.
Status stringoptionalThe status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseInputItemFunctionCallOutput struct{…}The output of a function tool call.
The output of a function tool call.
Output ResponseInputItemFunctionCallOutputOutputUnionText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
An array of content outputs (text, image, file) for the function tool call.
An array of content outputs (text, image, file) for the function tool call.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
The unique ID of the function tool call output. Populated when this item is returned via API.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
type ResponseInputItemToolSearchCall struct{…}
The unique ID of the tool search call generated by the model.
type ResponseToolSearchOutputItemParamResp struct{…}
Tools []ToolUnionThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The unique ID of the tool search call generated by the model.
Execution ResponseToolSearchOutputItemParamExecutionoptionalWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemParamStatusoptionalThe status of the tool search output.
The status of the tool search output.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseCompactionItemParamResp struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseInputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseInputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseInputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseInputItemShellCall struct{…}A tool representing a request to execute one or more shell commands.
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.
The shell commands and limits that describe how to run the tool call.
The unique ID of the shell tool call. Populated when this item is returned via API.
Environment ResponseInputItemShellCallEnvironmentUnionoptionalThe environment to execute the shell commands in.
The environment to execute the shell commands in.
type ResponseInputItemShellCallOutput struct{…}The streamed output items emitted by a shell tool call.
The streamed output items emitted by a shell tool call.
Captured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The unique ID of the shell tool call output. Populated when this item is returned via API.
The maximum number of UTF-8 characters captured for this shell call's combined output.
type ResponseInputItemApplyPatchCall struct{…}A tool call representing a request to create, delete, or update files using diff patches.
A tool call representing a request to create, delete, or update files using diff patches.
The 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.
The specific create, delete, or update instruction for the apply_patch tool call.
type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}Instruction for creating a new file via the apply_patch tool.
Instruction for creating a new file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}Instruction for deleting an existing file via the apply_patch tool.
Instruction for deleting an existing file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOutput struct{…}The streamed output emitted by an apply patch tool call.
The streamed output emitted by an apply patch tool call.
The unique ID of the apply patch tool call generated by the model.
type ResponseInputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseInputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseInputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseCustomToolCallOutput struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Output ResponseCustomToolCallOutputOutputUnionThe output from the custom tool call generated by your code.
Can be a string or an list of output content.
The output from the custom tool call generated by your code. Can be a string or an list of output content.
type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnionText, image, or file output of the custom tool call.
Text, image, or file output of the custom tool call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
Model ID used to generate the response, like gpt-4o or o3. OpenAI
offers a wide range of models with different capabilities, performance
characteristics, and price points. Refer to the model guide
to browse and compare available models.
Output []ResponseOutputItemUnionAn array of content items generated by the model.
- The length and order of items in the
output array is dependent
on the model's response.
- Rather than accessing the first item in the
output array and
assuming it's an assistant message with the content generated by
the model, you might consider using the output_text property where
supported in SDKs.
An array of content items generated by the model.
- The length and order of items in the
outputarray is dependent on the model's response. - Rather than accessing the first item in the
outputarray and assuming it's anassistantmessage with the content generated by the model, you might consider using theoutput_textproperty where supported in SDKs.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallOutputItem struct{…}
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code.
Can be a string or an list of output content.
The output from the function call generated by your code. Can be a string or an list of output content.
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
Text, image, or file output of the function call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseComputerToolCallOutputItem struct{…}
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseToolSearchCall struct{…}
type ResponseToolSearchOutputItem struct{…}
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
The status of the tool search output item that was recorded.
Tools []ToolUnionThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ResponseCompactionItem struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseOutputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseOutputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseOutputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
A tool call that executes one or more shell commands in a managed environment.
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
The shell commands and limits that describe how to run the tool call.
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of in_progress, completed, or incomplete.
The status of the shell call. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
The output of a shell tool call that was emitted.
The 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
An 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.
Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of in_progress, completed, or incomplete.
The status of the shell call output. One of in_progress, completed, or incomplete.
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
A tool call that applies file diffs by creating, deleting, or updating files.
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
One of the create_file, delete_file, or update_file operations applied via apply_patch.
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
type ResponseOutputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseOutputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseOutputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Status stringThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.
ToolChoice ResponseToolChoiceUnionHow the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.
How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.
type ToolChoiceOptions stringControls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or
more tools.
required means the model must call one or more tools.
Controls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or
more tools.
required means the model must call one or more tools.
type ToolChoiceAllowed struct{…}Constrains the tools available to the model to a pre-defined set.
Constrains the tools available to the model to a pre-defined set.
Mode ToolChoiceAllowedModeConstrains the tools available to the model to a pre-defined set.
auto allows the model to pick from among the allowed tools and generate a
message.
required requires the model to call one or more of the allowed tools.
Constrains the tools available to the model to a pre-defined set.
auto allows the model to pick from among the allowed tools and generate a
message.
required requires the model to call one or more of the allowed tools.
type ToolChoiceTypes struct{…}Indicates that the model should use a built-in tool to generate a response.
Learn more about built-in tools.
Indicates that the model should use a built-in tool to generate a response. Learn more about built-in tools.
Type ToolChoiceTypesTypeThe type of hosted tool the model should to use. Learn more about
built-in tools.
Allowed values are:
file_search
web_search_preview
computer
computer_use_preview
computer_use
code_interpreter
image_generation
The type of hosted tool the model should to use. Learn more about built-in tools.
Allowed values are:
file_searchweb_search_previewcomputercomputer_use_previewcomputer_usecode_interpreterimage_generation
type ToolChoiceMcp struct{…}Use this option to force the model to call a specific tool on a remote MCP server.
Use this option to force the model to call a specific tool on a remote MCP server.
Tools []ToolUnionAn array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.
We support the following categories of tools:
- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search
or file search. Learn more about
built-in tools.
- MCP Tools: Integrations with third-party systems via custom MCP servers
or predefined connectors such as Google Drive and SharePoint. Learn more about
MCP Tools.
- Function calls (custom tools): Functions that are defined by you,
enabling the model to call your own code with strongly typed arguments
and outputs. Learn more about
function calling. You can also use
custom tools to call your own code.
An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.
We support the following categories of tools:
- Built-in tools: Tools that are provided by OpenAI that extend the model's capabilities, like web search or file search. Learn more about built-in tools.
- MCP Tools: Integrations with third-party systems via custom MCP servers or predefined connectors such as Google Drive and SharePoint. Learn more about MCP Tools.
- Function calls (custom tools): Functions that are defined by you, enabling the model to call your own code with strongly typed arguments and outputs. Learn more about function calling. You can also use custom tools to call your own code.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
We generally recommend altering this or temperature but not both.
Whether to run the model response in the background. Learn more.
Unix timestamp (in seconds) of when this Response was completed.
Only present when the status is completed.
Conversation ResponseConversationoptionalThe conversation that this response belonged to. Input items and output items from this response were automatically added to this conversation.
The conversation that this response belonged to. Input items and output items from this response were automatically added to this conversation.
An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens.
The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored.
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.
Reference to a prompt template and its variables. Learn more.
Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the user field. Learn more.
PromptCacheRetention ResponsePromptCacheRetentionoptionalThe retention policy for the prompt cache. Set to 24h to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. Learn more.
The retention policy for the prompt cache. Set to 24h to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. Learn more.
gpt-5 and o-series models only
Configuration options for reasoning models.
A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. The IDs should be a string that uniquely identifies each user, with a maximum length of 64 characters. We recommend hashing their username or email address, in order to avoid sending us any identifying information. Learn more.
ServiceTier ResponseServiceTieroptionalSpecifies the processing type used for serving the request.
- If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'.
- If set to 'default', then the request will be processed with the standard pricing and performance for the selected model.
- If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier.
- When not set, the default behavior is 'auto'.
When the service_tier parameter is set, the response body will include the service_tier value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter.
Specifies the processing type used for serving the request.
- If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'.
- If set to 'default', then the request will be processed with the standard pricing and performance for the selected model.
- If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier.
- When not set, the default behavior is 'auto'.
When the service_tier parameter is set, the response body will include the service_tier value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter.
The status of the response generation. One of completed, failed,
in_progress, cancelled, queued, or incomplete.
Configuration options for a text response from the model. Can be plain text or structured JSON data. Learn more:
An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability.
Truncation ResponseTruncationoptionalThe truncation strategy to use for the model response.
auto: If the input to this Response exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping items from the beginning of the conversation.
disabled (default): If the input size will exceed the context window
size for a model, the request will fail with a 400 error.
The truncation strategy to use for the model response.
auto: If the input to this Response exceeds the model's context window size, the model will truncate the response to fit the context window by dropping items from the beginning of the conversation.disabled(default): If the input size will exceed the context window size for a model, the request will fail with a 400 error.
Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used.
This field is being replaced by safety_identifier and prompt_cache_key. Use prompt_cache_key instead to maintain caching optimizations.
A stable identifier for your end-users.
Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. Learn more.
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
A tool call that applies file diffs by creating, deleting, or updating files.
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
One of the create_file, delete_file, or update_file operations applied via apply_patch.
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseCompactionItem struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseCompactionItemParamResp struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseCompletedEvent struct{…}Emitted when the model response is complete.
Emitted when the model response is complete.
Properties of the completed response.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseComputerToolCallOutputItem struct{…}
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
type ResponseContentUnion interface{…}Multi-modal input and output contents.
Multi-modal input and output contents.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseContentPartAddedEvent struct{…}Emitted when a new content part is added.
Emitted when a new content part is added.
Part ResponseContentPartAddedEventPartUnionThe content part that was added.
The content part that was added.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseContentPartDoneEvent struct{…}Emitted when a content part is done.
Emitted when a content part is done.
Part ResponseContentPartDoneEventPartUnionThe content part that is done.
The content part that is done.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseCreatedEvent struct{…}An event that is emitted when a response is created.
An event that is emitted when a response is created.
The response that was created.
type ResponseCustomToolCallOutput struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Output ResponseCustomToolCallOutputOutputUnionThe output from the custom tool call generated by your code.
Can be a string or an list of output content.
The output from the custom tool call generated by your code. Can be a string or an list of output content.
type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnionText, image, or file output of the custom tool call.
Text, image, or file output of the custom tool call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Status stringThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseFailedEvent struct{…}An event that is emitted when a response fails.
An event that is emitted when a response fails.
The response that failed.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseFormatTextConfigUnion interface{…}An object specifying the format that the model must output.
Configuring { "type": "json_schema" } enables Structured Outputs,
which ensures the model will match your supplied JSON schema. Learn more in the
Structured Outputs guide.
The default format is { "type": "text" } with no additional options.
Not recommended for gpt-4o and newer models:
Setting to { "type": "json_object" } enables the older JSON mode, which
ensures the message the model generates is valid JSON. Using json_schema
is preferred for models that support it.
An object specifying the format that the model must output.
Configuring { "type": "json_schema" } enables Structured Outputs,
which ensures the model will match your supplied JSON schema. Learn more in the
Structured Outputs guide.
The default format is { "type": "text" } with no additional options.
Not recommended for gpt-4o and newer models:
Setting to { "type": "json_object" } enables the older JSON mode, which
ensures the message the model generates is valid JSON. Using json_schema
is preferred for models that support it.
type ResponseFormatTextJSONSchemaConfig struct{…}JSON Schema response format. Used to generate structured JSON responses.
Learn more about Structured Outputs.
JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.
The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.
A description of what the response format is for, used by the model to determine how to respond in the format.
Whether to enable strict schema adherence when generating the output.
If set to true, the model will always follow the exact schema defined
in the schema field. Only a subset of JSON Schema is supported when
strict is true. To learn more, read the Structured Outputs
guide.
type ResponseFormatTextJSONSchemaConfig struct{…}JSON Schema response format. Used to generate structured JSON responses.
Learn more about Structured Outputs.
JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.
The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.
A description of what the response format is for, used by the model to determine how to respond in the format.
Whether to enable strict schema adherence when generating the output.
If set to true, the model will always follow the exact schema defined
in the schema field. Only a subset of JSON Schema is supported when
strict is true. To learn more, read the Structured Outputs
guide.
type ResponseFunctionCallOutputItemUnion interface{…}A piece of message content, such as text, an image, or a file.
A piece of message content, such as text, an image, or a file.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
An array of content outputs (text, image, file) for the function tool call.
An array of content outputs (text, image, file) for the function tool call.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
type ResponseFunctionShellCallOutputContent struct{…}Captured stdout and stderr for a portion of a shell tool call output.
Captured stdout and stderr for a portion of a shell tool call output.
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
A tool call that executes one or more shell commands in a managed environment.
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
The shell commands and limits that describe how to run the tool call.
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of in_progress, completed, or incomplete.
The status of the shell call. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
The output of a shell tool call that was emitted.
The 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
An 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.
Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of in_progress, completed, or incomplete.
The status of the shell call output. One of in_progress, completed, or incomplete.
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallItem struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallOutputItem struct{…}
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code.
Can be a string or an list of output content.
The output from the function call generated by your code. Can be a string or an list of output content.
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
Text, image, or file output of the function call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseInProgressEvent struct{…}Emitted when the response is in progress.
Emitted when the response is in progress.
The response that is in progress.
type ResponseIncludable stringSpecify additional output data to include in the model response. Currently supported values are:
web_search_call.action.sources: Include the sources of the web search tool call.
code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.
computer_call_output.output.image_url: Include image urls from the computer call output.
file_search_call.results: Include the search results of the file search tool call.
message.input_image.image_url: Include image urls from the input message.
message.output_text.logprobs: Include logprobs with assistant messages.
reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the store parameter is set to false, or when an organization is enrolled in the zero data retention program).
Specify additional output data to include in the model response. Currently supported values are:
web_search_call.action.sources: Include the sources of the web search tool call.code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.computer_call_output.output.image_url: Include image urls from the computer call output.file_search_call.results: Include the search results of the file search tool call.message.input_image.image_url: Include image urls from the input message.message.output_text.logprobs: Include logprobs with assistant messages.reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when thestoreparameter is set tofalse, or when an organization is enrolled in the zero data retention program).
type ResponseIncompleteEvent struct{…}An event that is emitted when a response finishes as incomplete.
An event that is emitted when a response finishes as incomplete.
The response that was incomplete.
A list of one or many input items to the model, containing
different content types.
A list of one or many input items to the model, containing different content types.
type EasyInputMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
Content EasyInputMessageContentUnionText, image, or audio input to the model, used to generate a response.
Can also contain previous assistant responses.
Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.
A list of one or many input items to the model, containing different content
types.
A list of one or many input items to the model, containing different content types.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Role EasyInputMessageRoleThe role of the message input. One of user, assistant, system, or
developer.
The role of the message input. One of user, assistant, system, or
developer.
Phase EasyInputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseInputItemMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A list of one or many input items to the model, containing different content types.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseInputItemComputerCallOutput struct{…}The output of a computer tool call.
The output of a computer tool call.
AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheckoptionalThe safety checks reported by the API that have been acknowledged by the developer.
The safety checks reported by the API that have been acknowledged by the developer.
Status stringoptionalThe status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseInputItemFunctionCallOutput struct{…}The output of a function tool call.
The output of a function tool call.
Output ResponseInputItemFunctionCallOutputOutputUnionText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
An array of content outputs (text, image, file) for the function tool call.
An array of content outputs (text, image, file) for the function tool call.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
The unique ID of the function tool call output. Populated when this item is returned via API.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
type ResponseInputItemToolSearchCall struct{…}
The unique ID of the tool search call generated by the model.
type ResponseToolSearchOutputItemParamResp struct{…}
Tools []ToolUnionThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The unique ID of the tool search call generated by the model.
Execution ResponseToolSearchOutputItemParamExecutionoptionalWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemParamStatusoptionalThe status of the tool search output.
The status of the tool search output.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseCompactionItemParamResp struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseInputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseInputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseInputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseInputItemShellCall struct{…}A tool representing a request to execute one or more shell commands.
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.
The shell commands and limits that describe how to run the tool call.
The unique ID of the shell tool call. Populated when this item is returned via API.
Environment ResponseInputItemShellCallEnvironmentUnionoptionalThe environment to execute the shell commands in.
The environment to execute the shell commands in.
type ResponseInputItemShellCallOutput struct{…}The streamed output items emitted by a shell tool call.
The streamed output items emitted by a shell tool call.
Captured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The unique ID of the shell tool call output. Populated when this item is returned via API.
The maximum number of UTF-8 characters captured for this shell call's combined output.
type ResponseInputItemApplyPatchCall struct{…}A tool call representing a request to create, delete, or update files using diff patches.
A tool call representing a request to create, delete, or update files using diff patches.
The 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.
The specific create, delete, or update instruction for the apply_patch tool call.
type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}Instruction for creating a new file via the apply_patch tool.
Instruction for creating a new file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}Instruction for deleting an existing file via the apply_patch tool.
Instruction for deleting an existing file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOutput struct{…}The streamed output emitted by an apply patch tool call.
The streamed output emitted by an apply patch tool call.
The unique ID of the apply patch tool call generated by the model.
type ResponseInputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseInputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseInputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseCustomToolCallOutput struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Output ResponseCustomToolCallOutputOutputUnionThe output from the custom tool call generated by your code.
Can be a string or an list of output content.
The output from the custom tool call generated by your code. Can be a string or an list of output content.
type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnionText, image, or file output of the custom tool call.
Text, image, or file output of the custom tool call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseInputContentUnion interface{…}A text input to the model.
A text input to the model.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
type ResponseInputItemUnion interface{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
type EasyInputMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
Content EasyInputMessageContentUnionText, image, or audio input to the model, used to generate a response.
Can also contain previous assistant responses.
Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.
A list of one or many input items to the model, containing different content
types.
A list of one or many input items to the model, containing different content types.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Role EasyInputMessageRoleThe role of the message input. One of user, assistant, system, or
developer.
The role of the message input. One of user, assistant, system, or
developer.
Phase EasyInputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseInputItemMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A list of one or many input items to the model, containing different content types.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseInputItemComputerCallOutput struct{…}The output of a computer tool call.
The output of a computer tool call.
AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheckoptionalThe safety checks reported by the API that have been acknowledged by the developer.
The safety checks reported by the API that have been acknowledged by the developer.
Status stringoptionalThe status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseInputItemFunctionCallOutput struct{…}The output of a function tool call.
The output of a function tool call.
Output ResponseInputItemFunctionCallOutputOutputUnionText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
An array of content outputs (text, image, file) for the function tool call.
An array of content outputs (text, image, file) for the function tool call.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
The unique ID of the function tool call output. Populated when this item is returned via API.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
type ResponseInputItemToolSearchCall struct{…}
The unique ID of the tool search call generated by the model.
type ResponseToolSearchOutputItemParamResp struct{…}
Tools []ToolUnionThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The unique ID of the tool search call generated by the model.
Execution ResponseToolSearchOutputItemParamExecutionoptionalWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemParamStatusoptionalThe status of the tool search output.
The status of the tool search output.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseCompactionItemParamResp struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseInputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseInputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseInputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseInputItemShellCall struct{…}A tool representing a request to execute one or more shell commands.
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.
The shell commands and limits that describe how to run the tool call.
The unique ID of the shell tool call. Populated when this item is returned via API.
Environment ResponseInputItemShellCallEnvironmentUnionoptionalThe environment to execute the shell commands in.
The environment to execute the shell commands in.
type ResponseInputItemShellCallOutput struct{…}The streamed output items emitted by a shell tool call.
The streamed output items emitted by a shell tool call.
Captured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The unique ID of the shell tool call output. Populated when this item is returned via API.
The maximum number of UTF-8 characters captured for this shell call's combined output.
type ResponseInputItemApplyPatchCall struct{…}A tool call representing a request to create, delete, or update files using diff patches.
A tool call representing a request to create, delete, or update files using diff patches.
The 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.
The specific create, delete, or update instruction for the apply_patch tool call.
type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}Instruction for creating a new file via the apply_patch tool.
Instruction for creating a new file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}Instruction for deleting an existing file via the apply_patch tool.
Instruction for deleting an existing file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOutput struct{…}The streamed output emitted by an apply patch tool call.
The streamed output emitted by an apply patch tool call.
The unique ID of the apply patch tool call generated by the model.
type ResponseInputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseInputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseInputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseCustomToolCallOutput struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Output ResponseCustomToolCallOutputOutputUnionThe output from the custom tool call generated by your code.
Can be a string or an list of output content.
The output from the custom tool call generated by your code. Can be a string or an list of output content.
type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnionText, image, or file output of the custom tool call.
Text, image, or file output of the custom tool call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
A list of one or many input items to the model, containing different content
types.
A list of one or many input items to the model, containing different content types.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseInputMessageItem struct{…}
A list of one or many input items to the model, containing different content types.
type ResponseItemUnion interface{…}Content item used to generate a response.
Content item used to generate a response.
type ResponseInputMessageItem struct{…}
A list of one or many input items to the model, containing different content types.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseComputerToolCallOutputItem struct{…}
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseFunctionToolCallItem struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallOutputItem struct{…}
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code.
Can be a string or an list of output content.
The output from the function call generated by your code. Can be a string or an list of output content.
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
Text, image, or file output of the function call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseToolSearchCall struct{…}
type ResponseToolSearchOutputItem struct{…}
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
The status of the tool search output item that was recorded.
Tools []ToolUnionThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseCompactionItem struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
A tool call that executes one or more shell commands in a managed environment.
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
The shell commands and limits that describe how to run the tool call.
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of in_progress, completed, or incomplete.
The status of the shell call. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
The output of a shell tool call that was emitted.
The 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
An 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.
Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of in_progress, completed, or incomplete.
The status of the shell call output. One of in_progress, completed, or incomplete.
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
A tool call that applies file diffs by creating, deleting, or updating files.
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
One of the create_file, delete_file, or update_file operations applied via apply_patch.
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
type ResponseItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseCustomToolCallItem struct{…}A call to a custom tool created by the model.
A call to a custom tool created by the model.
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Status stringThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseOutputItemUnion interface{…}An output message from the model.
An output message from the model.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallOutputItem struct{…}
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code.
Can be a string or an list of output content.
The output from the function call generated by your code. Can be a string or an list of output content.
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
Text, image, or file output of the function call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseComputerToolCallOutputItem struct{…}
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseToolSearchCall struct{…}
type ResponseToolSearchOutputItem struct{…}
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
The status of the tool search output item that was recorded.
Tools []ToolUnionThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ResponseCompactionItem struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseOutputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseOutputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseOutputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
A tool call that executes one or more shell commands in a managed environment.
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
The shell commands and limits that describe how to run the tool call.
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of in_progress, completed, or incomplete.
The status of the shell call. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
The output of a shell tool call that was emitted.
The 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
An 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.
Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of in_progress, completed, or incomplete.
The status of the shell call output. One of in_progress, completed, or incomplete.
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
A tool call that applies file diffs by creating, deleting, or updating files.
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
One of the create_file, delete_file, or update_file operations applied via apply_patch.
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
type ResponseOutputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseOutputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseOutputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Status stringThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponsePrompt struct{…}Reference to a prompt template and its variables.
Learn more.
Reference to a prompt template and its variables. Learn more.
Variables map[string, ResponsePromptVariableUnion]optionalOptional map of values to substitute in for variables in your
prompt. The substitution values can either be strings, or other
Response input types like images or files.
Optional map of values to substitute in for variables in your prompt. The substitution values can either be strings, or other Response input types like images or files.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
type ResponseQueuedEvent struct{…}Emitted when a response is queued and waiting to be processed.
Emitted when a response is queued and waiting to be processed.
The full response object that is queued.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseStreamEventUnion interface{…}Emitted when there is a partial audio response.
Emitted when there is a partial audio response.
type ResponseAudioTranscriptDeltaEvent struct{…}Emitted when there is a partial transcript of audio.
Emitted when there is a partial transcript of audio.
type ResponseCodeInterpreterCallCodeDeltaEvent struct{…}Emitted when a partial code snippet is streamed by the code interpreter.
Emitted when a partial code snippet is streamed by the code interpreter.
type ResponseCodeInterpreterCallCodeDoneEvent struct{…}Emitted when the code snippet is finalized by the code interpreter.
Emitted when the code snippet is finalized by the code interpreter.
type ResponseCodeInterpreterCallCompletedEvent struct{…}Emitted when the code interpreter call is completed.
Emitted when the code interpreter call is completed.
type ResponseCodeInterpreterCallInProgressEvent struct{…}Emitted when a code interpreter call is in progress.
Emitted when a code interpreter call is in progress.
type ResponseCodeInterpreterCallInterpretingEvent struct{…}Emitted when the code interpreter is actively interpreting the code snippet.
Emitted when the code interpreter is actively interpreting the code snippet.
type ResponseCompletedEvent struct{…}Emitted when the model response is complete.
Emitted when the model response is complete.
Properties of the completed response.
type ResponseContentPartAddedEvent struct{…}Emitted when a new content part is added.
Emitted when a new content part is added.
Part ResponseContentPartAddedEventPartUnionThe content part that was added.
The content part that was added.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseContentPartDoneEvent struct{…}Emitted when a content part is done.
Emitted when a content part is done.
Part ResponseContentPartDoneEventPartUnionThe content part that is done.
The content part that is done.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseCreatedEvent struct{…}An event that is emitted when a response is created.
An event that is emitted when a response is created.
The response that was created.
type ResponseFileSearchCallCompletedEvent struct{…}Emitted when a file search call is completed (results found).
Emitted when a file search call is completed (results found).
type ResponseFileSearchCallSearchingEvent struct{…}Emitted when a file search is currently searching.
Emitted when a file search is currently searching.
type ResponseFunctionCallArgumentsDeltaEvent struct{…}Emitted when there is a partial function-call arguments delta.
Emitted when there is a partial function-call arguments delta.
type ResponseFunctionCallArgumentsDoneEvent struct{…}Emitted when function-call arguments are finalized.
Emitted when function-call arguments are finalized.
type ResponseInProgressEvent struct{…}Emitted when the response is in progress.
Emitted when the response is in progress.
The response that is in progress.
type ResponseFailedEvent struct{…}An event that is emitted when a response fails.
An event that is emitted when a response fails.
The response that failed.
type ResponseIncompleteEvent struct{…}An event that is emitted when a response finishes as incomplete.
An event that is emitted when a response finishes as incomplete.
The response that was incomplete.
type ResponseOutputItemAddedEvent struct{…}Emitted when a new output item is added.
Emitted when a new output item is added.
type ResponseOutputItemDoneEvent struct{…}Emitted when an output item is marked done.
Emitted when an output item is marked done.
type ResponseReasoningSummaryPartAddedEvent struct{…}Emitted when a new reasoning summary part is added.
Emitted when a new reasoning summary part is added.
type ResponseReasoningSummaryPartDoneEvent struct{…}Emitted when a reasoning summary part is completed.
Emitted when a reasoning summary part is completed.
type ResponseReasoningSummaryTextDeltaEvent struct{…}Emitted when a delta is added to a reasoning summary text.
Emitted when a delta is added to a reasoning summary text.
type ResponseReasoningSummaryTextDoneEvent struct{…}Emitted when a reasoning summary text is completed.
Emitted when a reasoning summary text is completed.
type ResponseTextDeltaEvent struct{…}Emitted when there is an additional text delta.
Emitted when there is an additional text delta.
type ResponseTextDoneEvent struct{…}Emitted when text content is finalized.
Emitted when text content is finalized.
type ResponseImageGenCallCompletedEvent struct{…}Emitted when an image generation tool call has completed and the final image is available.
Emitted when an image generation tool call has completed and the final image is available.
type ResponseImageGenCallGeneratingEvent struct{…}Emitted when an image generation tool call is actively generating an image (intermediate state).
Emitted when an image generation tool call is actively generating an image (intermediate state).
type ResponseImageGenCallInProgressEvent struct{…}Emitted when an image generation tool call is in progress.
Emitted when an image generation tool call is in progress.
type ResponseImageGenCallPartialImageEvent struct{…}Emitted when a partial image is available during image generation streaming.
Emitted when a partial image is available during image generation streaming.
type ResponseMcpCallArgumentsDeltaEvent struct{…}Emitted when there is a delta (partial update) to the arguments of an MCP tool call.
Emitted when there is a delta (partial update) to the arguments of an MCP tool call.
type ResponseMcpCallArgumentsDoneEvent struct{…}Emitted when the arguments for an MCP tool call are finalized.
Emitted when the arguments for an MCP tool call are finalized.
type ResponseMcpCallCompletedEvent struct{…}Emitted when an MCP tool call has completed successfully.
Emitted when an MCP tool call has completed successfully.
type ResponseMcpListToolsCompletedEvent struct{…}Emitted when the list of available MCP tools has been successfully retrieved.
Emitted when the list of available MCP tools has been successfully retrieved.
type ResponseMcpListToolsFailedEvent struct{…}Emitted when the attempt to list available MCP tools has failed.
Emitted when the attempt to list available MCP tools has failed.
type ResponseMcpListToolsInProgressEvent struct{…}Emitted when the system is in the process of retrieving the list of available MCP tools.
Emitted when the system is in the process of retrieving the list of available MCP tools.
type ResponseOutputTextAnnotationAddedEvent struct{…}Emitted when an annotation is added to output text content.
Emitted when an annotation is added to output text content.
type ResponseQueuedEvent struct{…}Emitted when a response is queued and waiting to be processed.
Emitted when a response is queued and waiting to be processed.
The full response object that is queued.
type ResponseCustomToolCallInputDeltaEvent struct{…}Event representing a delta (partial update) to the input of a custom tool call.
Event representing a delta (partial update) to the input of a custom tool call.
type ResponseTextConfig struct{…}Configuration options for a text response from the model. Can be plain
text or structured JSON data. Learn more:
Configuration options for a text response from the model. Can be plain text or structured JSON data. Learn more:
An object specifying the format that the model must output.
Configuring { "type": "json_schema" } enables Structured Outputs,
which ensures the model will match your supplied JSON schema. Learn more in the
Structured Outputs guide.
The default format is { "type": "text" } with no additional options.
Not recommended for gpt-4o and newer models:
Setting to { "type": "json_object" } enables the older JSON mode, which
ensures the message the model generates is valid JSON. Using json_schema
is preferred for models that support it.
type ResponseToolSearchOutputItem struct{…}
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
The status of the tool search output item that was recorded.
Tools []ToolUnionThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ResponseToolSearchOutputItemParamResp struct{…}
Tools []ToolUnionThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The unique ID of the tool search call generated by the model.
Execution ResponseToolSearchOutputItemParamExecutionoptionalWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemParamStatusoptionalThe status of the tool search output.
The status of the tool search output.
type ResponseUsage struct{…}Represents token usage details including input tokens, output tokens,
a breakdown of output tokens, and the total tokens used.
Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used.
InputTokensDetails ResponseUsageInputTokensDetailsA detailed breakdown of the input tokens.
A detailed breakdown of the input tokens.
The number of tokens that were retrieved from the cache. More on prompt caching.
type ResponsesClientEvent struct{…}
Whether to run the model response in the background. Learn more.
ContextManagement []ResponsesClientEventContextManagementoptionalContext management configuration for this request.
Context management configuration for this request.
Conversation ResponsesClientEventConversationUnionoptionalThe conversation that this response belongs to. Items from this conversation are prepended to input_items for this response request.
Input items and output items from this response are automatically added to this conversation after this response completes.
The conversation that this response belongs to. Items from this conversation are prepended to input_items for this response request.
Input items and output items from this response are automatically added to this conversation after this response completes.
Specify additional output data to include in the model response. Currently supported values are:
web_search_call.action.sources: Include the sources of the web search tool call.
code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.
computer_call_output.output.image_url: Include image urls from the computer call output.
file_search_call.results: Include the search results of the file search tool call.
message.input_image.image_url: Include image urls from the input message.
message.output_text.logprobs: Include logprobs with assistant messages.
reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the store parameter is set to false, or when an organization is enrolled in the zero data retention program).
Specify additional output data to include in the model response. Currently supported values are:
web_search_call.action.sources: Include the sources of the web search tool call.code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.computer_call_output.output.image_url: Include image urls from the computer call output.file_search_call.results: Include the search results of the file search tool call.message.input_image.image_url: Include image urls from the input message.message.output_text.logprobs: Include logprobs with assistant messages.reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when thestoreparameter is set tofalse, or when an organization is enrolled in the zero data retention program).
Input ResponsesClientEventInputUnionoptionalText, image, or file inputs to the model, used to generate a response.
Learn more:
Text, image, or file inputs to the model, used to generate a response.
Learn more:
A list of one or many input items to the model, containing
different content types.
A list of one or many input items to the model, containing different content types.
type EasyInputMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
Content EasyInputMessageContentUnionText, image, or audio input to the model, used to generate a response.
Can also contain previous assistant responses.
Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.
A list of one or many input items to the model, containing different content
types.
A list of one or many input items to the model, containing different content types.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Role EasyInputMessageRoleThe role of the message input. One of user, assistant, system, or
developer.
The role of the message input. One of user, assistant, system, or
developer.
Phase EasyInputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseInputItemMessage struct{…}A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role.
A list of one or many input items to the model, containing different content types.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseInputItemComputerCallOutput struct{…}The output of a computer tool call.
The output of a computer tool call.
AcknowledgedSafetyChecks []ResponseInputItemComputerCallOutputAcknowledgedSafetyCheckoptionalThe safety checks reported by the API that have been acknowledged by the developer.
The safety checks reported by the API that have been acknowledged by the developer.
Status stringoptionalThe status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or incomplete. Populated when input items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseFunctionToolCall struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseInputItemFunctionCallOutput struct{…}The output of a function tool call.
The output of a function tool call.
Output ResponseInputItemFunctionCallOutputOutputUnionText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
An array of content outputs (text, image, file) for the function tool call.
An array of content outputs (text, image, file) for the function tool call.
type ResponseInputImageContent struct{…}An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
The unique ID of the function tool call output. Populated when this item is returned via API.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or incomplete. Populated when items are returned via API.
type ResponseInputItemToolSearchCall struct{…}
The unique ID of the tool search call generated by the model.
type ResponseToolSearchOutputItemParamResp struct{…}
Tools []ToolUnionThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The unique ID of the tool search call generated by the model.
Execution ResponseToolSearchOutputItemParamExecutionoptionalWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemParamStatusoptionalThe status of the tool search output.
The status of the tool search output.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseCompactionItemParamResp struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseInputItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseInputItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseInputItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseInputItemShellCall struct{…}A tool representing a request to execute one or more shell commands.
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.
The shell commands and limits that describe how to run the tool call.
The unique ID of the shell tool call. Populated when this item is returned via API.
Environment ResponseInputItemShellCallEnvironmentUnionoptionalThe environment to execute the shell commands in.
The environment to execute the shell commands in.
type ResponseInputItemShellCallOutput struct{…}The streamed output items emitted by a shell tool call.
The streamed output items emitted by a shell tool call.
Captured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The unique ID of the shell tool call output. Populated when this item is returned via API.
The maximum number of UTF-8 characters captured for this shell call's combined output.
type ResponseInputItemApplyPatchCall struct{…}A tool call representing a request to create, delete, or update files using diff patches.
A tool call representing a request to create, delete, or update files using diff patches.
The 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.
The specific create, delete, or update instruction for the apply_patch tool call.
type ResponseInputItemApplyPatchCallOperationCreateFile struct{…}Instruction for creating a new file via the apply_patch tool.
Instruction for creating a new file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOperationDeleteFile struct{…}Instruction for deleting an existing file via the apply_patch tool.
Instruction for deleting an existing file via the apply_patch tool.
type ResponseInputItemApplyPatchCallOutput struct{…}The streamed output emitted by an apply patch tool call.
The streamed output emitted by an apply patch tool call.
The unique ID of the apply patch tool call generated by the model.
type ResponseInputItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseInputItemMcpApprovalRequest struct{…}A request for human approval of a tool invocation.
A request for human approval of a tool invocation.
type ResponseInputItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseCustomToolCallOutput struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Output ResponseCustomToolCallOutputOutputUnionThe output from the custom tool call generated by your code.
Can be a string or an list of output content.
The output from the custom tool call generated by your code. Can be a string or an list of output content.
type ResponseCustomToolCallOutputOutputOutputContentList []ResponseCustomToolCallOutputOutputOutputContentListItemUnionText, image, or file output of the custom tool call.
Text, image, or file output of the custom tool call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
A system (or developer) message inserted into the model's context.
When using along with previous_response_id, the instructions from a previous
response will not be carried over to the next response. This makes it simple
to swap out system (or developer) messages in new responses.
An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens.
The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored.
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
Model ID used to generate the response, like gpt-4o or o3. OpenAI
offers a wide range of models with different capabilities, performance
characteristics, and price points. Refer to the model guide
to browse and compare available models.
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.
Reference to a prompt template and its variables. Learn more.
Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the user field. Learn more.
PromptCacheRetention ResponsesClientEventPromptCacheRetentionoptionalThe retention policy for the prompt cache. Set to 24h to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. Learn more.
The retention policy for the prompt cache. Set to 24h to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. Learn more.
gpt-5 and o-series models only
Configuration options for reasoning models.
A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. The IDs should be a string that uniquely identifies each user, with a maximum length of 64 characters. We recommend hashing their username or email address, in order to avoid sending us any identifying information. Learn more.
ServiceTier ResponsesClientEventServiceTieroptionalSpecifies the processing type used for serving the request.
- If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'.
- If set to 'default', then the request will be processed with the standard pricing and performance for the selected model.
- If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier.
- When not set, the default behavior is 'auto'.
When the service_tier parameter is set, the response body will include the service_tier value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter.
Specifies the processing type used for serving the request.
- If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'.
- If set to 'default', then the request will be processed with the standard pricing and performance for the selected model.
- If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier.
- When not set, the default behavior is 'auto'.
When the service_tier parameter is set, the response body will include the service_tier value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter.
If set to true, the model response data will be streamed to the client as it is generated using server-sent events. See the Streaming section below for more information.
StreamOptions ResponsesClientEventStreamOptionsoptionalOptions for streaming responses. Only set this when you set stream: true.
Options for streaming responses. Only set this when you set stream: true.
When true, stream obfuscation will be enabled. Stream obfuscation adds
random characters to an obfuscation field on streaming delta events to
normalize payload sizes as a mitigation to certain side-channel attacks.
These obfuscation fields are included by default, but add a small amount
of overhead to the data stream. You can set include_obfuscation to
false to optimize for bandwidth if you trust the network links between
your application and the OpenAI API.
What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
We generally recommend altering this or top_p but not both.
Configuration options for a text response from the model. Can be plain text or structured JSON data. Learn more:
ToolChoice ResponsesClientEventToolChoiceUnionoptionalHow the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.
How the model should select which tool (or tools) to use when generating
a response. See the tools parameter to see how to specify which tools
the model can call.
type ToolChoiceOptions stringControls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or
more tools.
required means the model must call one or more tools.
Controls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or
more tools.
required means the model must call one or more tools.
type ToolChoiceAllowed struct{…}Constrains the tools available to the model to a pre-defined set.
Constrains the tools available to the model to a pre-defined set.
Mode ToolChoiceAllowedModeConstrains the tools available to the model to a pre-defined set.
auto allows the model to pick from among the allowed tools and generate a
message.
required requires the model to call one or more of the allowed tools.
Constrains the tools available to the model to a pre-defined set.
auto allows the model to pick from among the allowed tools and generate a
message.
required requires the model to call one or more of the allowed tools.
type ToolChoiceTypes struct{…}Indicates that the model should use a built-in tool to generate a response.
Learn more about built-in tools.
Indicates that the model should use a built-in tool to generate a response. Learn more about built-in tools.
Type ToolChoiceTypesTypeThe type of hosted tool the model should to use. Learn more about
built-in tools.
Allowed values are:
file_search
web_search_preview
computer
computer_use_preview
computer_use
code_interpreter
image_generation
The type of hosted tool the model should to use. Learn more about built-in tools.
Allowed values are:
file_searchweb_search_previewcomputercomputer_use_previewcomputer_usecode_interpreterimage_generation
type ToolChoiceMcp struct{…}Use this option to force the model to call a specific tool on a remote MCP server.
Use this option to force the model to call a specific tool on a remote MCP server.
An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.
We support the following categories of tools:
- Built-in tools: Tools that are provided by OpenAI that extend the
model's capabilities, like web search
or file search. Learn more about
built-in tools.
- MCP Tools: Integrations with third-party systems via custom MCP servers
or predefined connectors such as Google Drive and SharePoint. Learn more about
MCP Tools.
- Function calls (custom tools): Functions that are defined by you,
enabling the model to call your own code with strongly typed arguments
and outputs. Learn more about
function calling. You can also use
custom tools to call your own code.
An array of tools the model may call while generating a response. You
can specify which tool to use by setting the tool_choice parameter.
We support the following categories of tools:
- Built-in tools: Tools that are provided by OpenAI that extend the model's capabilities, like web search or file search. Learn more about built-in tools.
- MCP Tools: Integrations with third-party systems via custom MCP servers or predefined connectors such as Google Drive and SharePoint. Learn more about MCP Tools.
- Function calls (custom tools): Functions that are defined by you, enabling the model to call your own code with strongly typed arguments and outputs. Learn more about function calling. You can also use custom tools to call your own code.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability.
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
We generally recommend altering this or temperature but not both.
Truncation ResponsesClientEventTruncationoptionalThe truncation strategy to use for the model response.
auto: If the input to this Response exceeds
the model's context window size, the model will truncate the
response to fit the context window by dropping items from the beginning of the conversation.
disabled (default): If the input size will exceed the context window
size for a model, the request will fail with a 400 error.
The truncation strategy to use for the model response.
auto: If the input to this Response exceeds the model's context window size, the model will truncate the response to fit the context window by dropping items from the beginning of the conversation.disabled(default): If the input size will exceed the context window size for a model, the request will fail with a 400 error.
This field is being replaced by safety_identifier and prompt_cache_key. Use prompt_cache_key instead to maintain caching optimizations.
A stable identifier for your end-users.
Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. Learn more.
type ResponsesServerEventUnion interface{…}Server events emitted by the Responses WebSocket server.
Server events emitted by the Responses WebSocket server.
type ResponseAudioTranscriptDeltaEvent struct{…}Emitted when there is a partial transcript of audio.
Emitted when there is a partial transcript of audio.
type ResponseCodeInterpreterCallCodeDeltaEvent struct{…}Emitted when a partial code snippet is streamed by the code interpreter.
Emitted when a partial code snippet is streamed by the code interpreter.
type ResponseCodeInterpreterCallCodeDoneEvent struct{…}Emitted when the code snippet is finalized by the code interpreter.
Emitted when the code snippet is finalized by the code interpreter.
type ResponseCodeInterpreterCallCompletedEvent struct{…}Emitted when the code interpreter call is completed.
Emitted when the code interpreter call is completed.
type ResponseCodeInterpreterCallInProgressEvent struct{…}Emitted when a code interpreter call is in progress.
Emitted when a code interpreter call is in progress.
type ResponseCodeInterpreterCallInterpretingEvent struct{…}Emitted when the code interpreter is actively interpreting the code snippet.
Emitted when the code interpreter is actively interpreting the code snippet.
type ResponseCompletedEvent struct{…}Emitted when the model response is complete.
Emitted when the model response is complete.
Properties of the completed response.
type ResponseContentPartAddedEvent struct{…}Emitted when a new content part is added.
Emitted when a new content part is added.
Part ResponseContentPartAddedEventPartUnionThe content part that was added.
The content part that was added.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseContentPartDoneEvent struct{…}Emitted when a content part is done.
Emitted when a content part is done.
Part ResponseContentPartDoneEventPartUnionThe content part that is done.
The content part that is done.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
type ResponseCreatedEvent struct{…}An event that is emitted when a response is created.
An event that is emitted when a response is created.
The response that was created.
type ResponseFileSearchCallCompletedEvent struct{…}Emitted when a file search call is completed (results found).
Emitted when a file search call is completed (results found).
type ResponseFileSearchCallSearchingEvent struct{…}Emitted when a file search is currently searching.
Emitted when a file search is currently searching.
type ResponseFunctionCallArgumentsDeltaEvent struct{…}Emitted when there is a partial function-call arguments delta.
Emitted when there is a partial function-call arguments delta.
type ResponseFunctionCallArgumentsDoneEvent struct{…}Emitted when function-call arguments are finalized.
Emitted when function-call arguments are finalized.
type ResponseInProgressEvent struct{…}Emitted when the response is in progress.
Emitted when the response is in progress.
The response that is in progress.
type ResponseFailedEvent struct{…}An event that is emitted when a response fails.
An event that is emitted when a response fails.
The response that failed.
type ResponseIncompleteEvent struct{…}An event that is emitted when a response finishes as incomplete.
An event that is emitted when a response finishes as incomplete.
The response that was incomplete.
type ResponseOutputItemAddedEvent struct{…}Emitted when a new output item is added.
Emitted when a new output item is added.
type ResponseOutputItemDoneEvent struct{…}Emitted when an output item is marked done.
Emitted when an output item is marked done.
type ResponseReasoningSummaryPartAddedEvent struct{…}Emitted when a new reasoning summary part is added.
Emitted when a new reasoning summary part is added.
type ResponseReasoningSummaryPartDoneEvent struct{…}Emitted when a reasoning summary part is completed.
Emitted when a reasoning summary part is completed.
type ResponseReasoningSummaryTextDeltaEvent struct{…}Emitted when a delta is added to a reasoning summary text.
Emitted when a delta is added to a reasoning summary text.
type ResponseReasoningSummaryTextDoneEvent struct{…}Emitted when a reasoning summary text is completed.
Emitted when a reasoning summary text is completed.
type ResponseTextDeltaEvent struct{…}Emitted when there is an additional text delta.
Emitted when there is an additional text delta.
type ResponseTextDoneEvent struct{…}Emitted when text content is finalized.
Emitted when text content is finalized.
type ResponseImageGenCallCompletedEvent struct{…}Emitted when an image generation tool call has completed and the final image is available.
Emitted when an image generation tool call has completed and the final image is available.
type ResponseImageGenCallGeneratingEvent struct{…}Emitted when an image generation tool call is actively generating an image (intermediate state).
Emitted when an image generation tool call is actively generating an image (intermediate state).
type ResponseImageGenCallInProgressEvent struct{…}Emitted when an image generation tool call is in progress.
Emitted when an image generation tool call is in progress.
type ResponseImageGenCallPartialImageEvent struct{…}Emitted when a partial image is available during image generation streaming.
Emitted when a partial image is available during image generation streaming.
type ResponseMcpCallArgumentsDeltaEvent struct{…}Emitted when there is a delta (partial update) to the arguments of an MCP tool call.
Emitted when there is a delta (partial update) to the arguments of an MCP tool call.
type ResponseMcpCallArgumentsDoneEvent struct{…}Emitted when the arguments for an MCP tool call are finalized.
Emitted when the arguments for an MCP tool call are finalized.
type ResponseMcpCallCompletedEvent struct{…}Emitted when an MCP tool call has completed successfully.
Emitted when an MCP tool call has completed successfully.
type ResponseMcpListToolsCompletedEvent struct{…}Emitted when the list of available MCP tools has been successfully retrieved.
Emitted when the list of available MCP tools has been successfully retrieved.
type ResponseMcpListToolsFailedEvent struct{…}Emitted when the attempt to list available MCP tools has failed.
Emitted when the attempt to list available MCP tools has failed.
type ResponseMcpListToolsInProgressEvent struct{…}Emitted when the system is in the process of retrieving the list of available MCP tools.
Emitted when the system is in the process of retrieving the list of available MCP tools.
type ResponseOutputTextAnnotationAddedEvent struct{…}Emitted when an annotation is added to output text content.
Emitted when an annotation is added to output text content.
type ResponseQueuedEvent struct{…}Emitted when a response is queued and waiting to be processed.
Emitted when a response is queued and waiting to be processed.
The full response object that is queued.
type ResponseCustomToolCallInputDeltaEvent struct{…}Event representing a delta (partial update) to the input of a custom tool call.
Event representing a delta (partial update) to the input of a custom tool call.
type ToolUnion interface{…}A tool that can be used to generate a response.
A tool that can be used to generate a response.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolChoiceAllowed struct{…}Constrains the tools available to the model to a pre-defined set.
Constrains the tools available to the model to a pre-defined set.
Mode ToolChoiceAllowedModeConstrains the tools available to the model to a pre-defined set.
auto allows the model to pick from among the allowed tools and generate a
message.
required requires the model to call one or more of the allowed tools.
Constrains the tools available to the model to a pre-defined set.
auto allows the model to pick from among the allowed tools and generate a
message.
required requires the model to call one or more of the allowed tools.
type ToolChoiceOptions stringControls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or
more tools.
required means the model must call one or more tools.
Controls which (if any) tool is called by the model.
none means the model will not call any tool and instead generates a message.
auto means the model can pick between generating a message or calling one or
more tools.
required means the model must call one or more tools.
type ToolChoiceTypes struct{…}Indicates that the model should use a built-in tool to generate a response.
Learn more about built-in tools.
Indicates that the model should use a built-in tool to generate a response. Learn more about built-in tools.
Type ToolChoiceTypesTypeThe type of hosted tool the model should to use. Learn more about
built-in tools.
Allowed values are:
file_search
web_search_preview
computer
computer_use_preview
computer_use
code_interpreter
image_generation
The type of hosted tool the model should to use. Learn more about built-in tools.
Allowed values are:
file_searchweb_search_previewcomputercomputer_use_previewcomputer_usecode_interpreterimage_generation
type WebSearchPreviewTool struct{…}This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type WebSearchTool struct{…}Search the Internet for sources related to the prompt. Learn more about the
web search tool.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
ResponsesInput Items
List input items
ModelsExpand Collapse
type ResponseItemList struct{…}A list of Response items.
A list of Response items.
Data []ResponseItemUnionA list of items used to generate this response.
A list of items used to generate this response.
type ResponseInputMessageItem struct{…}
A list of one or many input items to the model, containing different content types.
type ResponseOutputMessage struct{…}An output message from the model.
An output message from the model.
Content []ResponseOutputMessageContentUnionThe content of the output message.
The content of the output message.
type ResponseOutputText struct{…}A text output from the model.
A text output from the model.
Annotations []ResponseOutputTextAnnotationUnionThe annotations of the text output.
The annotations of the text output.
type ResponseOutputTextAnnotationURLCitation struct{…}A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
Status ResponseOutputMessageStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
Phase ResponseOutputMessagePhaseoptionalLabels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer).
For models like gpt-5.3-codex and beyond, when sending follow-up requests, preserve and resend
phase on all assistant messages — dropping it can degrade performance. Not used for user messages.
type ResponseFileSearchToolCall struct{…}The results of a file search tool call. See the
file search guide for more information.
The results of a file search tool call. See the file search guide for more information.
Status ResponseFileSearchToolCallStatusThe status of the file search tool call. One of in_progress,
searching, incomplete or failed,
The status of the file search tool call. One of in_progress,
searching, incomplete or failed,
Results []ResponseFileSearchToolCallResultoptionalThe results of the file search tool call.
The results of the file search tool call.
Attributes map[string, ResponseFileSearchToolCallResultAttributeUnion]optionalSet 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.
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.
type ResponseComputerToolCall struct{…}A tool call to a computer use tool. See the
computer use guide for more information.
A tool call to a computer use tool. See the computer use guide for more information.
PendingSafetyChecks []ResponseComputerToolCallPendingSafetyCheckThe pending safety checks for the computer call.
The pending safety checks for the computer call.
Status ResponseComputerToolCallStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
Action ResponseComputerToolCallActionUnionoptionalA click action.
A click action.
type ResponseComputerToolCallActionClick struct{…}A click action.
A click action.
Button stringIndicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
Indicates which mouse button was pressed during the click. One of left, right, wheel, back, or forward.
type ResponseComputerToolCallActionDrag struct{…}A drag action.
A drag action.
type ResponseComputerToolCallActionKeypress struct{…}A collection of keypresses the model would like to perform.
A collection of keypresses the model would like to perform.
type ResponseComputerToolCallOutputItem struct{…}
Status ResponseComputerToolCallOutputItemStatusThe status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
The status of the message input. One of in_progress, completed, or
incomplete. Populated when input items are returned via API.
type ResponseFunctionWebSearch struct{…}The results of a web search tool call. See the
web search guide for more information.
The results of a web search tool call. See the web search guide for more information.
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).
An object describing the specific action taken in this web search call. Includes details on how the model used the web (search, open_page, find_in_page).
type ResponseFunctionToolCallItem struct{…}A tool call to run a function. See the
function calling guide for more information.
A tool call to run a function. See the function calling guide for more information.
type ResponseFunctionToolCallOutputItem struct{…}
Output ResponseFunctionToolCallOutputItemOutputUnionThe output from the function call generated by your code.
Can be a string or an list of output content.
The output from the function call generated by your code. Can be a string or an list of output content.
type ResponseFunctionToolCallOutputItemOutputOutputContentList []ResponseFunctionToolCallOutputItemOutputOutputContentListItemUnionText, image, or file output of the function call.
Text, image, or file output of the function call.
type ResponseInputImage struct{…}An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
Status ResponseFunctionToolCallOutputItemStatusThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
type ResponseToolSearchCall struct{…}
type ResponseToolSearchOutputItem struct{…}
Execution ResponseToolSearchOutputItemExecutionWhether tool search was executed by the server or by the client.
Whether tool search was executed by the server or by the client.
Status ResponseToolSearchOutputItemStatusThe status of the tool search output item that was recorded.
The status of the tool search output item that was recorded.
Tools []ToolUnionThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
type FunctionTool struct{…}Defines a function in your own code the model can choose to call. Learn more about function calling.
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.
A tool that searches for relevant content from uploaded files. Learn more about the file search tool.
Filters FileSearchToolFiltersUnionoptionalA filter to apply.
A filter to apply.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
type CompoundFilter struct{…}Combine multiple filters using and or or.
Combine multiple filters using and or or.
Filters []ComparisonFilterArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
type ComparisonFilter struct{…}A filter used to compare a specified attribute key to a given value using a defined comparison operation.
A filter used to compare a specified attribute key to a given value using a defined comparison operation.
The maximum number of results to return. This number should be between 1 and 50 inclusive.
RankingOptions FileSearchToolRankingOptionsoptionalRanking options for search.
Ranking options for search.
type ComputerTool struct{…}A tool that controls a virtual computer. Learn more about the computer tool.
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.
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.
Search the Internet for sources related to the prompt. Learn more about the web search tool.
SearchContextSize WebSearchToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchToolUserLocationoptionalThe approximate location of the user.
The approximate location of the user.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ToolMcp struct{…}Give the model access to additional tools via remote Model Context Protocol
(MCP) servers. Learn more about MCP.
Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.
AllowedTools ToolMcpAllowedToolsUnionoptionalList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
type ToolMcpAllowedToolsMcpToolFilter struct{…}A filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.
ConnectorID stringoptionalIdentifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox
- Gmail:
connector_gmail
- Google Calendar:
connector_googlecalendar
- Google Drive:
connector_googledrive
- Microsoft Teams:
connector_microsoftteams
- Outlook Calendar:
connector_outlookcalendar
- Outlook Email:
connector_outlookemail
- SharePoint:
connector_sharepoint
Identifier for service connectors, like those available in ChatGPT. One of
server_url or connector_id must be provided. Learn more about service
connectors here.
Currently supported connector_id values are:
- Dropbox:
connector_dropbox - Gmail:
connector_gmail - Google Calendar:
connector_googlecalendar - Google Drive:
connector_googledrive - Microsoft Teams:
connector_microsoftteams - Outlook Calendar:
connector_outlookcalendar - Outlook Email:
connector_outlookemail - SharePoint:
connector_sharepoint
Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.
RequireApproval ToolMcpRequireApprovalUnionoptionalSpecify which of the MCP server's tools require approval.
Specify which of the MCP server's tools require approval.
type ToolMcpRequireApprovalMcpToolApprovalFilter struct{…}Specify which of the MCP server's tools require approval. Can be
always, never, or a filter object associated with tools
that require approval.
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 ToolMcpRequireApprovalMcpToolApprovalFilterAlwaysoptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
Never ToolMcpRequireApprovalMcpToolApprovalFilterNeveroptionalA filter object to specify which tools are allowed.
A filter object to specify which tools are allowed.
Indicates whether or not a tool modifies data or is read-only. If an
MCP server is annotated with readOnlyHint,
it will match this filter.
type ToolCodeInterpreter struct{…}A tool that runs Python code to help generate a response to a prompt.
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_limit setting.
The code interpreter container. Can be a container ID or an object that
specifies uploaded file IDs to make available to your code, along with an
optional memory_limit setting.
type ToolCodeInterpreterContainerCodeInterpreterContainerAuto struct{…}Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.
MemoryLimit stringoptionalThe memory limit for the code interpreter container.
The memory limit for the code interpreter container.
type ToolImageGeneration struct{…}A tool that generates images using the GPT image models.
A tool that generates images using the GPT image models.
Background stringoptionalBackground type for the generated image. One of transparent,
opaque, or auto. Default: auto.
Background type for the generated image. One of transparent,
opaque, or auto. Default: auto.
InputFidelity stringoptionalControl how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for gpt-image-1 and gpt-image-1.5 and later models, unsupported for gpt-image-1-mini. Supports high and low. Defaults to low.
InputImageMask ToolImageGenerationInputImageMaskoptionalOptional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Optional mask for inpainting. Contains image_url
(string, optional) and file_id (string, optional).
Compression level for the output image. Default: 100.
OutputFormat stringoptionalThe output format of the generated image. One of png, webp, or
jpeg. Default: png.
The output format of the generated image. One of png, webp, or
jpeg. Default: png.
Number of partial images to generate in streaming mode, from 0 (default value) to 3.
Quality stringoptionalThe quality of the generated image. One of low, medium, high,
or auto. Default: auto.
The quality of the generated image. One of low, medium, high,
or auto. Default: auto.
type ToolLocalShell struct{…}A tool that allows the model to execute shell commands in a local environment.
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.
A tool that allows the model to execute shell commands.
Environment FunctionShellToolEnvironmentUnionoptional
type ContainerAuto struct{…}
NetworkPolicy ContainerAutoNetworkPolicyUnionoptionalNetwork access policy for the container.
Network access policy for the container.
Skills []ContainerAutoSkillUnionoptionalAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
type InlineSkill struct{…}
Inline skill payload
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
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.
Groups function/custom tools under a shared namespace.
Tools []NamespaceToolToolUnionThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
type CustomTool struct{…}A custom tool that processes input using a specified format. Learn more about custom tools
A custom tool that processes input using a specified format. Learn more about custom tools
type ToolSearchTool struct{…}Hosted or BYOT tool search configuration for deferred tools.
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.
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_preview or web_search_preview_2025_03_11.
The type of the web search tool. One of web_search_preview or web_search_preview_2025_03_11.
SearchContextSize WebSearchPreviewToolSearchContextSizeoptionalHigh level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default.
UserLocation WebSearchPreviewToolUserLocationoptionalThe user's location.
The user's location.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
type ResponseReasoningItem struct{…}A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
The encrypted content of the reasoning item - populated when a response is
generated with reasoning.encrypted_content in the include parameter.
type ResponseCompactionItem struct{…}A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
type ResponseItemImageGenerationCall struct{…}An image generation request made by the model.
An image generation request made by the model.
Status stringThe status of the image generation call.
The status of the image generation call.
type ResponseCodeInterpreterToolCall struct{…}A tool call to run code.
A tool call to run code.
Outputs []ResponseCodeInterpreterToolCallOutputUnionThe outputs generated by the code interpreter, such as logs or images.
Can be null if no outputs are available.
The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available.
Status ResponseCodeInterpreterToolCallStatusThe status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
The status of the code interpreter tool call. Valid values are in_progress, completed, incomplete, interpreting, and failed.
type ResponseItemLocalShellCall struct{…}A tool call to run a command on the local shell.
A tool call to run a command on the local shell.
type ResponseItemLocalShellCallOutput struct{…}The output of a local shell tool call.
The output of a local shell tool call.
The type of the local shell tool call output. Always local_shell_call_output.
Status stringoptionalThe status of the item. One of in_progress, completed, or incomplete.
The status of the item. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCall struct{…}A tool call that executes one or more shell commands in a managed environment.
A tool call that executes one or more shell commands in a managed environment.
Action ResponseFunctionShellToolCallActionThe shell commands and limits that describe how to run the tool call.
The shell commands and limits that describe how to run the tool call.
Environment ResponseFunctionShellToolCallEnvironmentUnionRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
Status ResponseFunctionShellToolCallStatusThe status of the shell call. One of in_progress, completed, or incomplete.
The status of the shell call. One of in_progress, completed, or incomplete.
type ResponseFunctionShellToolCallOutput struct{…}The output of a shell tool call that was emitted.
The output of a shell tool call that was emitted.
The 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
An 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.
Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.
Status ResponseFunctionShellToolCallOutputStatusThe status of the shell call output. One of in_progress, completed, or incomplete.
The status of the shell call output. One of in_progress, completed, or incomplete.
type ResponseApplyPatchToolCall struct{…}A tool call that applies file diffs by creating, deleting, or updating files.
A tool call that applies file diffs by creating, deleting, or updating files.
Operation ResponseApplyPatchToolCallOperationUnionOne of the create_file, delete_file, or update_file operations applied via apply_patch.
One of the create_file, delete_file, or update_file operations applied via apply_patch.
type ResponseApplyPatchToolCallOutput struct{…}The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
type ResponseItemMcpListTools struct{…}A list of tools available on an MCP server.
A list of tools available on an MCP server.
type ResponseItemMcpCall struct{…}An invocation of a tool on an MCP server.
An invocation of a tool on an MCP server.
Unique identifier for the MCP tool call approval request.
Include this value in a subsequent mcp_approval_response input to approve or reject the corresponding tool call.
type ResponseCustomToolCallItem struct{…}A call to a custom tool created by the model.
A call to a custom tool created by the model.
type ResponseCustomToolCallOutputItem struct{…}The output of a custom tool call from your code, being sent back to the model.
The output of a custom tool call from your code, being sent back to the model.
Status stringThe status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.
The status of the item. One of in_progress, completed, or
incomplete. Populated when items are returned via API.