Responses
Create a model response
Get a model response
Delete a model response
Cancel a response
Compact a response
ModelsExpand Collapse
class CompactedResponse:
The object type. Always response.compaction.
List<ResponseOutputItem> outputThe 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.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseFunctionToolCall: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.
class ResponseFunctionToolCallOutputItem:
Output outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Status statusThe 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.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
class ResponseComputerToolCallOutputItem:
Status statusThe 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.
The type of the computer tool call output. Always computer_call_output.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseToolSearchCall:
class ResponseToolSearchOutputItem:
List<Tool> toolsThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ResponseCompactionItem:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
class ResponseFunctionShellToolCall: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.
Optional<Environment> environmentRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
class ResponseFunctionShellToolCallOutput: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.
List<Output> outputAn array of shell call output contents
An array of shell call output contents
class ResponseApplyPatchToolCall: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 operationOne 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.
class ResponseApplyPatchToolCallOutput:The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
The unique ID of the apply patch tool call output. Populated when this item is returned via API.
McpCall
McpListTools
McpApprovalResponse
class ResponseCustomToolCall:A call to a custom tool created by the model.
A call to a custom tool created by the model.
Token accounting for the compaction pass, including cached, reasoning, and total tokens.
class ComputerAction: A class that can be one of several variants.union A click action.
A click action.
Click
DoubleClick
Drag
Scroll
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class EasyInputMessage:A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
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 contentText, 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.
List<ResponseInputContent>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Optional<Phase> phaseLabels 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.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class FunctionTool: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.
class InlineSkill:
Inline skill payload
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class Response:
Optional<Instructions> instructionsA 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.
List<ResponseInputItem>
class EasyInputMessage:A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
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 contentText, 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.
List<ResponseInputContent>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Optional<Phase> phaseLabels 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.
Message
A list of one or many input items to the model, containing different content types.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
ComputerCallOutput
The type of the computer tool call output. Always computer_call_output.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseFunctionToolCall: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.
FunctionCallOutput
Output outputText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
class ResponseInputImageContent:An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
class ResponseInputFileContent:A file input to the model.
A file input to the model.
The type of the input item. Always input_file.
Optional<Detail> detailThe detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The type of the function tool call output. Always function_call_output.
ToolSearchCall
The item type. Always tool_search_call.
The unique ID of the tool search call generated by the model.
class ResponseToolSearchOutputItemParam:
List<Tool> toolsThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The item type. Always tool_search_output.
The unique ID of the tool search call generated by the model.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseCompactionItemParam:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
ShellCall
The unique ID of the shell tool call. Populated when this item is returned via API.
ShellCallOutput
List<ResponseFunctionShellCallOutputContent> outputCaptured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The type of the item. Always shell_call_output.
The unique ID of the shell tool call output. Populated when this item is returned via API.
ApplyPatchCall
The unique ID of the apply patch tool call generated by the model.
Operation operationThe 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.
ApplyPatchCallOutput
The unique ID of the apply patch tool call generated by the model.
The type of the item. Always apply_patch_call_output.
McpListTools
McpApprovalResponse
McpCall
class ResponseCustomToolCallOutput: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 outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
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 object type of this resource - always set to response.
List<ResponseOutputItem> outputAn 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.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseFunctionToolCall: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.
class ResponseFunctionToolCallOutputItem:
Output outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Status statusThe 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.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
class ResponseComputerToolCallOutputItem:
Status statusThe 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.
The type of the computer tool call output. Always computer_call_output.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseToolSearchCall:
class ResponseToolSearchOutputItem:
List<Tool> toolsThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ResponseCompactionItem:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
class ResponseFunctionShellToolCall: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.
Optional<Environment> environmentRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
class ResponseFunctionShellToolCallOutput: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.
List<Output> outputAn array of shell call output contents
An array of shell call output contents
class ResponseApplyPatchToolCall: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 operationOne 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.
class ResponseApplyPatchToolCallOutput:The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
The unique ID of the apply patch tool call output. Populated when this item is returned via API.
McpCall
McpListTools
McpApprovalResponse
class ResponseCustomToolCall:A call to a custom tool created by the model.
A call to a custom tool created by the model.
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 toolChoiceHow 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.
enum ToolChoiceOptions: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.
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.
class ToolChoiceAllowed: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 modeConstrains 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.
class ToolChoiceTypes: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 typeThe 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
class ToolChoiceMcp: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.
List<Tool> toolsAn 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.
class FunctionTool: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.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
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.
Optional<Conversation> conversationThe 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.
Optional<PromptCacheRetention> promptCacheRetentionThe 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.
Optional<ServiceTier> serviceTierSpecifies 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.
Optional<Truncation> truncationThe 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.
class ResponseApplyPatchToolCall: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 operationOne 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.
class ResponseApplyPatchToolCallOutput:The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
The unique ID of the apply patch tool call output. Populated when this item is returned via API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
class ResponseCompactionItem:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCompactionItemParam:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCompletedEvent:Emitted when the model response is complete.
Emitted when the model response is complete.
Properties of the completed response.
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
class ResponseComputerToolCallOutputItem:
Status statusThe 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.
The type of the computer tool call output. Always computer_call_output.
class ResponseContent: A class that can be one of several variants.union Multi-modal input and output contents.
Multi-modal input and output contents.
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseContentPartAddedEvent:Emitted when a new content part is added.
Emitted when a new content part is added.
Part partThe content part that was added.
The content part that was added.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseContentPartDoneEvent:Emitted when a content part is done.
Emitted when a content part is done.
Part partThe content part that is done.
The content part that is done.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseCreatedEvent: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.
class ResponseCustomToolCallOutput: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 outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
class ResponseFailedEvent:An event that is emitted when a response fails.
An event that is emitted when a response fails.
The response that failed.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseFormatTextConfig: A class that can be one of several variants.union 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.
class ResponseFormatTextJsonSchemaConfig: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.
The type of response format being defined. Always json_schema.
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.
class ResponseFormatTextJsonSchemaConfig: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.
The type of response format being defined. Always json_schema.
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.
class ResponseFunctionCallOutputItem: A class that can be one of several variants.union 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.
class ResponseInputImageContent:An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
class ResponseInputFileContent:A file input to the model.
A file input to the model.
The type of the input item. Always input_file.
Optional<Detail> detailThe detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
class ResponseFunctionShellToolCall: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.
Optional<Environment> environmentRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
class ResponseFunctionShellToolCallOutput: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.
List<Output> outputAn array of shell call output contents
An array of shell call output contents
class ResponseFunctionToolCall: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.
class ResponseFunctionToolCallItem: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.
class ResponseFunctionToolCallOutputItem:
Output outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Status statusThe 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.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseInProgressEvent:Emitted when the response is in progress.
Emitted when the response is in progress.
The response that is in progress.
enum ResponseIncludable:Specify additional output data to include in the model response. Currently supported values are:
web_search_call.action.sources: Include the sources of the web search tool call.
code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.
computer_call_output.output.image_url: Include image urls from the computer call output.
file_search_call.results: Include the search results of the file search tool call.
message.input_image.image_url: Include image urls from the input message.
message.output_text.logprobs: Include logprobs with assistant messages.
reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the store parameter is set to false, or when an organization is enrolled in the zero data retention program).
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).
class ResponseIncompleteEvent: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.
class ResponseInputContent: A class that can be one of several variants.union A text input to the model.
A text input to the model.
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
class ResponseInputFile:A file input to the model.
A file input to the model.
class ResponseInputFileContent:A file input to the model.
A file input to the model.
The type of the input item. Always input_file.
Optional<Detail> detailThe detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputImageContent:An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
class ResponseInputItem: A class that can be one of several variants.union 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.
class EasyInputMessage:A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
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 contentText, 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.
List<ResponseInputContent>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Optional<Phase> phaseLabels 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.
Message
A list of one or many input items to the model, containing different content types.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
ComputerCallOutput
The type of the computer tool call output. Always computer_call_output.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseFunctionToolCall: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.
FunctionCallOutput
Output outputText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
class ResponseInputImageContent:An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
class ResponseInputFileContent:A file input to the model.
A file input to the model.
The type of the input item. Always input_file.
Optional<Detail> detailThe detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The type of the function tool call output. Always function_call_output.
ToolSearchCall
The item type. Always tool_search_call.
The unique ID of the tool search call generated by the model.
class ResponseToolSearchOutputItemParam:
List<Tool> toolsThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The item type. Always tool_search_output.
The unique ID of the tool search call generated by the model.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseCompactionItemParam:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
ShellCall
The unique ID of the shell tool call. Populated when this item is returned via API.
ShellCallOutput
List<ResponseFunctionShellCallOutputContent> outputCaptured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The type of the item. Always shell_call_output.
The unique ID of the shell tool call output. Populated when this item is returned via API.
ApplyPatchCall
The unique ID of the apply patch tool call generated by the model.
Operation operationThe 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.
ApplyPatchCallOutput
The unique ID of the apply patch tool call generated by the model.
The type of the item. Always apply_patch_call_output.
McpListTools
McpApprovalResponse
McpCall
class ResponseCustomToolCallOutput: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 outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
class ResponseInputMessageItem:
A list of one or many input items to the model, containing different content types.
class ResponseItem: A class that can be one of several variants.union Content item used to generate a response.
Content item used to generate a response.
class ResponseInputMessageItem:
A list of one or many input items to the model, containing different content types.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
class ResponseComputerToolCallOutputItem:
Status statusThe 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.
The type of the computer tool call output. Always computer_call_output.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseFunctionToolCallItem: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.
class ResponseFunctionToolCallOutputItem:
Output outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Status statusThe 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.
class ResponseToolSearchCall:
class ResponseToolSearchOutputItem:
List<Tool> toolsThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseCompactionItem:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
class ResponseFunctionShellToolCall: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.
Optional<Environment> environmentRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
class ResponseFunctionShellToolCallOutput: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.
List<Output> outputAn array of shell call output contents
An array of shell call output contents
class ResponseApplyPatchToolCall: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 operationOne 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.
class ResponseApplyPatchToolCallOutput:The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
The unique ID of the apply patch tool call output. Populated when this item is returned via API.
McpListTools
McpApprovalResponse
McpCall
class ResponseCustomToolCallItem:A call to a custom tool created by the model.
A call to a custom tool created by the model.
class ResponseOutputItem: A class that can be one of several variants.union An output message from the model.
An output message from the model.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseFunctionToolCall: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.
class ResponseFunctionToolCallOutputItem:
Output outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Status statusThe 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.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
class ResponseComputerToolCallOutputItem:
Status statusThe 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.
The type of the computer tool call output. Always computer_call_output.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseToolSearchCall:
class ResponseToolSearchOutputItem:
List<Tool> toolsThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ResponseCompactionItem:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
class ResponseFunctionShellToolCall: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.
Optional<Environment> environmentRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
class ResponseFunctionShellToolCallOutput: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.
List<Output> outputAn array of shell call output contents
An array of shell call output contents
class ResponseApplyPatchToolCall: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 operationOne 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.
class ResponseApplyPatchToolCallOutput:The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
The unique ID of the apply patch tool call output. Populated when this item is returned via API.
McpCall
McpListTools
McpApprovalResponse
class ResponseCustomToolCall:A call to a custom tool created by the model.
A call to a custom tool created by the model.
class ResponseOutputItemAddedEvent:Emitted when a new output item is added.
Emitted when a new output item is added.
The output item that was added.
class ResponseOutputItemDoneEvent:Emitted when an output item is marked done.
Emitted when an output item is marked done.
The output item that was marked done.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponsePrompt:Reference to a prompt template and its variables.
Learn more.
Reference to a prompt template and its variables. Learn more.
Optional<Variables> variablesOptional 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.
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
class ResponseQueuedEvent: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.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseStreamEvent: A class that can be one of several variants.union Emitted when there is a partial audio response.
Emitted when there is a partial audio response.
class ResponseCodeInterpreterCallCodeDeltaEvent:Emitted when a partial code snippet is streamed by the code interpreter.
Emitted when a partial code snippet is streamed by the code interpreter.
class ResponseCodeInterpreterCallCodeDoneEvent:Emitted when the code snippet is finalized by the code interpreter.
Emitted when the code snippet is finalized by the code interpreter.
class ResponseCodeInterpreterCallCompletedEvent:Emitted when the code interpreter call is completed.
Emitted when the code interpreter call is completed.
class ResponseCodeInterpreterCallInProgressEvent:Emitted when a code interpreter call is in progress.
Emitted when a code interpreter call is in progress.
class ResponseCodeInterpreterCallInterpretingEvent:Emitted when the code interpreter is actively interpreting the code snippet.
Emitted when the code interpreter is actively interpreting the code snippet.
class ResponseCompletedEvent:Emitted when the model response is complete.
Emitted when the model response is complete.
Properties of the completed response.
class ResponseContentPartAddedEvent:Emitted when a new content part is added.
Emitted when a new content part is added.
Part partThe content part that was added.
The content part that was added.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseContentPartDoneEvent:Emitted when a content part is done.
Emitted when a content part is done.
Part partThe content part that is done.
The content part that is done.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseCreatedEvent: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.
class ResponseFileSearchCallCompletedEvent:Emitted when a file search call is completed (results found).
Emitted when a file search call is completed (results found).
class ResponseFunctionCallArgumentsDeltaEvent:Emitted when there is a partial function-call arguments delta.
Emitted when there is a partial function-call arguments delta.
class ResponseInProgressEvent:Emitted when the response is in progress.
Emitted when the response is in progress.
The response that is in progress.
class ResponseFailedEvent:An event that is emitted when a response fails.
An event that is emitted when a response fails.
The response that failed.
class ResponseIncompleteEvent: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.
class ResponseOutputItemAddedEvent:Emitted when a new output item is added.
Emitted when a new output item is added.
The output item that was added.
class ResponseOutputItemDoneEvent:Emitted when an output item is marked done.
Emitted when an output item is marked done.
The output item that was marked done.
class ResponseReasoningSummaryPartAddedEvent:Emitted when a new reasoning summary part is added.
Emitted when a new reasoning summary part is added.
class ResponseReasoningSummaryPartDoneEvent:Emitted when a reasoning summary part is completed.
Emitted when a reasoning summary part is completed.
class ResponseReasoningSummaryTextDeltaEvent:Emitted when a delta is added to a reasoning summary text.
Emitted when a delta is added to a reasoning summary text.
class ResponseTextDeltaEvent:Emitted when there is an additional text delta.
Emitted when there is an additional text delta.
class ResponseTextDoneEvent:Emitted when text content is finalized.
Emitted when text content is finalized.
class ResponseImageGenCallCompletedEvent: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.
class ResponseImageGenCallGeneratingEvent: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).
class ResponseImageGenCallInProgressEvent:Emitted when an image generation tool call is in progress.
Emitted when an image generation tool call is in progress.
class ResponseImageGenCallPartialImageEvent:Emitted when a partial image is available during image generation streaming.
Emitted when a partial image is available during image generation streaming.
class ResponseMcpCallArgumentsDeltaEvent: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.
class ResponseMcpCallArgumentsDoneEvent:Emitted when the arguments for an MCP tool call are finalized.
Emitted when the arguments for an MCP tool call are finalized.
class ResponseMcpListToolsCompletedEvent:Emitted when the list of available MCP tools has been successfully retrieved.
Emitted when the list of available MCP tools has been successfully retrieved.
class ResponseMcpListToolsFailedEvent:Emitted when the attempt to list available MCP tools has failed.
Emitted when the attempt to list available MCP tools has failed.
class ResponseMcpListToolsInProgressEvent: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.
class ResponseOutputTextAnnotationAddedEvent:Emitted when an annotation is added to output text content.
Emitted when an annotation is added to output text content.
class ResponseQueuedEvent: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.
class ResponseCustomToolCallInputDeltaEvent: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.
class ResponseTextConfig: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.
class ResponseToolSearchOutputItem:
List<Tool> toolsThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ResponseToolSearchOutputItemParam:
List<Tool> toolsThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The item type. Always tool_search_output.
The unique ID of the tool search call generated by the model.
class ResponseUsage: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 inputTokensDetailsA 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.
class ResponsesClientEvent:
The type of the client event. Always response.create.
Whether to run the model response in the background. Learn more.
Optional<List<ContextManagement>> contextManagementContext management configuration for this request.
Context management configuration for this request.
Optional<Conversation> conversationThe 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).
Optional<Input> inputText, 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:
List<ResponseInputItem>
class EasyInputMessage:A message input to the model with a role indicating instruction following
hierarchy. Instructions given with the developer or system role take
precedence over instructions given with the user role. Messages with the
assistant role are presumed to have been generated by the model in previous
interactions.
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 contentText, 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.
List<ResponseInputContent>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Optional<Phase> phaseLabels 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.
Message
A list of one or many input items to the model, containing different content types.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
ComputerCallOutput
The type of the computer tool call output. Always computer_call_output.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseFunctionToolCall: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.
FunctionCallOutput
Output outputText, image, or file output of the function tool call.
Text, image, or file output of the function tool call.
class ResponseInputImageContent:An image input to the model. Learn about image inputs
An image input to the model. Learn about image inputs
class ResponseInputFileContent:A file input to the model.
A file input to the model.
The type of the input item. Always input_file.
Optional<Detail> detailThe detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The detail level of the file to be sent to the model. Use low for the default rendering behavior, or high to render the file at higher quality. Defaults to low.
The type of the function tool call output. Always function_call_output.
ToolSearchCall
The item type. Always tool_search_call.
The unique ID of the tool search call generated by the model.
class ResponseToolSearchOutputItemParam:
List<Tool> toolsThe loaded tool definitions returned by the tool search output.
The loaded tool definitions returned by the tool search output.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
The item type. Always tool_search_output.
The unique ID of the tool search call generated by the model.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseCompactionItemParam:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
ShellCall
The unique ID of the shell tool call. Populated when this item is returned via API.
ShellCallOutput
List<ResponseFunctionShellCallOutputContent> outputCaptured chunks of stdout and stderr output, along with their associated outcomes.
Captured chunks of stdout and stderr output, along with their associated outcomes.
The type of the item. Always shell_call_output.
The unique ID of the shell tool call output. Populated when this item is returned via API.
ApplyPatchCall
The unique ID of the apply patch tool call generated by the model.
Operation operationThe 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.
ApplyPatchCallOutput
The unique ID of the apply patch tool call generated by the model.
The type of the item. Always apply_patch_call_output.
McpListTools
McpApprovalResponse
McpCall
class ResponseCustomToolCallOutput: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 outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
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.
Optional<PromptCacheRetention> promptCacheRetentionThe 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.
Optional<ServiceTier> serviceTierSpecifies 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.
Optional<StreamOptions> streamOptionsOptions 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:
Optional<ToolChoice> toolChoiceHow 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.
enum ToolChoiceOptions: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.
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.
class ToolChoiceAllowed: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 modeConstrains 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.
class ToolChoiceTypes: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 typeThe 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
class ToolChoiceMcp: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.
class FunctionTool: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.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
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.
Optional<Truncation> truncationThe 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.
class ResponsesServerEvent: A class that can be one of several variants.union Server events emitted by the Responses WebSocket server.
Server events emitted by the Responses WebSocket server.
class ResponseCodeInterpreterCallCodeDeltaEvent:Emitted when a partial code snippet is streamed by the code interpreter.
Emitted when a partial code snippet is streamed by the code interpreter.
class ResponseCodeInterpreterCallCodeDoneEvent:Emitted when the code snippet is finalized by the code interpreter.
Emitted when the code snippet is finalized by the code interpreter.
class ResponseCodeInterpreterCallCompletedEvent:Emitted when the code interpreter call is completed.
Emitted when the code interpreter call is completed.
class ResponseCodeInterpreterCallInProgressEvent:Emitted when a code interpreter call is in progress.
Emitted when a code interpreter call is in progress.
class ResponseCodeInterpreterCallInterpretingEvent:Emitted when the code interpreter is actively interpreting the code snippet.
Emitted when the code interpreter is actively interpreting the code snippet.
class ResponseCompletedEvent:Emitted when the model response is complete.
Emitted when the model response is complete.
Properties of the completed response.
class ResponseContentPartAddedEvent:Emitted when a new content part is added.
Emitted when a new content part is added.
Part partThe content part that was added.
The content part that was added.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseContentPartDoneEvent:Emitted when a content part is done.
Emitted when a content part is done.
Part partThe content part that is done.
The content part that is done.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
class ResponseCreatedEvent: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.
class ResponseFileSearchCallCompletedEvent:Emitted when a file search call is completed (results found).
Emitted when a file search call is completed (results found).
class ResponseFunctionCallArgumentsDeltaEvent:Emitted when there is a partial function-call arguments delta.
Emitted when there is a partial function-call arguments delta.
class ResponseInProgressEvent:Emitted when the response is in progress.
Emitted when the response is in progress.
The response that is in progress.
class ResponseFailedEvent:An event that is emitted when a response fails.
An event that is emitted when a response fails.
The response that failed.
class ResponseIncompleteEvent: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.
class ResponseOutputItemAddedEvent:Emitted when a new output item is added.
Emitted when a new output item is added.
The output item that was added.
class ResponseOutputItemDoneEvent:Emitted when an output item is marked done.
Emitted when an output item is marked done.
The output item that was marked done.
class ResponseReasoningSummaryPartAddedEvent:Emitted when a new reasoning summary part is added.
Emitted when a new reasoning summary part is added.
class ResponseReasoningSummaryPartDoneEvent:Emitted when a reasoning summary part is completed.
Emitted when a reasoning summary part is completed.
class ResponseReasoningSummaryTextDeltaEvent:Emitted when a delta is added to a reasoning summary text.
Emitted when a delta is added to a reasoning summary text.
class ResponseTextDeltaEvent:Emitted when there is an additional text delta.
Emitted when there is an additional text delta.
class ResponseTextDoneEvent:Emitted when text content is finalized.
Emitted when text content is finalized.
class ResponseImageGenCallCompletedEvent: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.
class ResponseImageGenCallGeneratingEvent: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).
class ResponseImageGenCallInProgressEvent:Emitted when an image generation tool call is in progress.
Emitted when an image generation tool call is in progress.
class ResponseImageGenCallPartialImageEvent:Emitted when a partial image is available during image generation streaming.
Emitted when a partial image is available during image generation streaming.
class ResponseMcpCallArgumentsDeltaEvent: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.
class ResponseMcpCallArgumentsDoneEvent:Emitted when the arguments for an MCP tool call are finalized.
Emitted when the arguments for an MCP tool call are finalized.
class ResponseMcpListToolsCompletedEvent:Emitted when the list of available MCP tools has been successfully retrieved.
Emitted when the list of available MCP tools has been successfully retrieved.
class ResponseMcpListToolsFailedEvent:Emitted when the attempt to list available MCP tools has failed.
Emitted when the attempt to list available MCP tools has failed.
class ResponseMcpListToolsInProgressEvent: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.
class ResponseOutputTextAnnotationAddedEvent:Emitted when an annotation is added to output text content.
Emitted when an annotation is added to output text content.
class ResponseQueuedEvent: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.
class ResponseCustomToolCallInputDeltaEvent: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.
class Tool: A class that can be one of several variants.union A tool that can be used to generate a response.
A tool that can be used to generate a response.
class FunctionTool: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.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ToolChoiceAllowed: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 modeConstrains 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.
class ToolChoiceTypes: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 typeThe 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
class WebSearchPreviewTool: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 typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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
class ResponseItemList:A list of Response items.
A list of Response items.
List<ResponseItem> dataA list of items used to generate this response.
A list of items used to generate this response.
class ResponseInputMessageItem:
A list of one or many input items to the model, containing different content types.
class ResponseOutputMessage:An output message from the model.
An output message from the model.
List<Content> contentThe content of the output message.
The content of the output message.
class ResponseOutputText:A text output from the model.
A text output from the model.
List<Annotation> annotationsThe annotations of the text output.
The annotations of the text output.
class UrlCitation:A citation for a web resource used to generate a model response.
A citation for a web resource used to generate a model response.
The role of the output message. Always assistant.
Status statusThe 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.
Optional<Phase> phaseLabels 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.
class ResponseFileSearchToolCall: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 statusThe 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,
The type of the file search tool call. Always file_search_call.
Optional<List<Result>> resultsThe results of the file search tool call.
The results of the file search tool call.
Optional<Attributes> attributesSet 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.
class ResponseComputerToolCall: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.
Status statusThe 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.
Optional<Action> actionA click action.
A click action.
class Click:A click action.
A click action.
class DoubleClick:A double click action.
A double click action.
class Drag:A drag action.
A drag action.
class Scroll:A scroll action.
A scroll action.
class ResponseComputerToolCallOutputItem:
Status statusThe 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.
The type of the computer tool call output. Always computer_call_output.
class ResponseFunctionWebSearch: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 actionAn 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).
class ResponseFunctionToolCallItem: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.
class ResponseFunctionToolCallOutputItem:
Output outputThe 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.
List<FunctionAndCustomToolCallOutput>
class ResponseInputImage:An image input to the model. Learn about image inputs.
An image input to the model. Learn about image inputs.
class ResponseInputFile:A file input to the model.
A file input to the model.
Status statusThe 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.
class ResponseToolSearchCall:
class ResponseToolSearchOutputItem:
List<Tool> toolsThe loaded tool definitions returned by tool search.
The loaded tool definitions returned by tool search.
class FunctionTool:Defines a function in your own code the model can choose to call. Learn more about function calling.
Defines a function in your own code the model can choose to call. Learn more about function calling.
class FileSearchTool: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.
The type of the file search tool. Always file_search.
Optional<Filters> filtersA filter to apply.
A filter to apply.
class ComparisonFilter: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.
class CompoundFilter:Combine multiple filters using and or or.
Combine multiple filters using and or or.
List<Filter> filtersArray of filters to combine. Items can be ComparisonFilter or CompoundFilter.
Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.
class ComparisonFilter:A filter used to compare a specified attribute key to a given value using a defined comparison operation.
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.
Optional<RankingOptions> rankingOptionsRanking options for search.
Ranking options for search.
class ComputerTool: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.
class ComputerUsePreviewTool: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.
class WebSearchTool: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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe 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.
Mcp
Optional<AllowedTools> allowedToolsList of allowed tool names or a filter object.
List of allowed tool names or a filter object.
class McpToolFilter: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.
Optional<ConnectorId> connectorIdIdentifier 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.
Optional<RequireApproval> requireApprovalSpecify which of the MCP server’s tools require approval.
Specify which of the MCP server’s tools require approval.
class McpToolApprovalFilter: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.
Optional<Always> alwaysA 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.
Optional<Never> neverA 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.
CodeInterpreter
Container containerThe 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.
class CodeInterpreterToolAuto: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.
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
ImageGeneration
The type of the image generation tool. Always image_generation.
Optional<Background> backgroundBackground 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.
Optional<InputFidelity> inputFidelityControl 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.
Optional<InputImageMask> inputImageMaskOptional 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.
Optional<OutputFormat> outputFormatThe 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.
class FunctionShellTool:A tool that allows the model to execute shell commands.
A tool that allows the model to execute shell commands.
Optional<Environment> environment
class ContainerAuto:
Automatically creates a container for this request
Optional<NetworkPolicy> networkPolicyNetwork access policy for the container.
Network access policy for the container.
Optional<List<Skill>> skillsAn optional list of skills referenced by id or inline data.
An optional list of skills referenced by id or inline data.
class InlineSkill:
Inline skill payload
class CustomTool: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
class NamespaceTool:Groups function/custom tools under a shared namespace.
Groups function/custom tools under a shared namespace.
List<Tool> toolsThe function/custom tools available inside this namespace.
The function/custom tools available inside this namespace.
class CustomTool: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
class ToolSearchTool:Hosted or BYOT tool search configuration for deferred tools.
Hosted or BYOT tool search configuration for deferred tools.
class WebSearchPreviewTool:This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
This tool searches the web for relevant results to use in a response. Learn more about the web search tool.
Type typeThe 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.
Optional<SearchContextSize> searchContextSizeHigh 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.
Optional<UserLocation> userLocationThe user’s location.
The user’s location.
The type of location approximation. Always approximate.
The two-letter ISO country code of the user, e.g. US.
The IANA timezone of the user, e.g. America/Los_Angeles.
class ResponseReasoningItem:A description of the chain of thought used by a reasoning model while generating
a response. Be sure to include these items in your input to the Responses API
for subsequent turns of a conversation if you are manually
managing context.
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.
class ResponseCompactionItem:A compaction item generated by the v1/responses/compact API.
A compaction item generated by the v1/responses/compact API.
class ResponseCodeInterpreterToolCall:A tool call to run code.
A tool call to run code.
Optional<List<Output>> outputsThe 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.
LocalShellCall
LocalShellCallOutput
class ResponseFunctionShellToolCall: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.
Optional<Environment> environmentRepresents the use of a local environment to perform shell actions.
Represents the use of a local environment to perform shell actions.
class ResponseFunctionShellToolCallOutput: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.
List<Output> outputAn array of shell call output contents
An array of shell call output contents
class ResponseApplyPatchToolCall: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 operationOne 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.
class ResponseApplyPatchToolCallOutput:The output emitted by an apply patch tool call.
The output emitted by an apply patch tool call.
The unique ID of the apply patch tool call output. Populated when this item is returned via API.
McpListTools
McpApprovalResponse
McpCall
class ResponseCustomToolCallItem:A call to a custom tool created by the model.
A call to a custom tool created by the model.