beta_function_tool: object { name, parameters, strict, 6 more }

Defines a function in your own code the model can choose to call. Learn more about function calling.

name: string

The name of the function to call.

parameters: map[unknown]

A JSON schema object describing the parameters of the function.

strict: boolean

Whether strict parameter validation is enforced for this function tool.

type: "function"

The type of the function tool. Always function.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
async: optional boolean
defer_loading: optional boolean

Whether this function is deferred and loaded via tool search.

description: optional string

A description of the function. Used by the model to determine whether or not to call the function.

output_schema: optional map[unknown]

A JSON schema object describing the JSON value encoded in string outputs for this function.

beta_file_search_tool: object { type, vector_store_ids, filters, 2 more }

A tool that searches for relevant content from uploaded files. Learn more about the file search tool.

type: "file_search"

The type of the file search tool. Always file_search.

vector_store_ids: array of string

The IDs of the vector stores to search.

filters: optional object { key, type, value } or object { filters, type }

A filter to apply.

Comparison Filter: object { key, type, value }

A filter used to compare a specified attribute key to a given value using a defined comparison operation.

key: string

The key to compare against the value.

type: "eq" or "ne" or "gt" or 5 more

Specifies the comparison operator: eq, ne, gt, gte, lt, lte, in, nin.

  • eq: equals
  • ne: not equal
  • gt: greater than
  • gte: greater than or equal
  • lt: less than
  • lte: less than or equal
  • in: in
  • nin: not in
"eq"
"ne"
"gt"
"gte"
"lt"
"lte"
"in"
"nin"
value: string or number or boolean or array of string or number

The value to compare against the attribute key; supports string, number, or boolean types.

union_member_0: string
union_member_1: number
union_member_2: boolean
union_member_3: array of string or number
union_member_0: string
union_member_1: number
Compound Filter: object { filters, type }

Combine multiple filters using and or or.

filters: array of object { key, type, value } or unknown

Array of filters to combine. Items can be ComparisonFilter or CompoundFilter.

Comparison Filter: object { key, type, value }

A filter used to compare a specified attribute key to a given value using a defined comparison operation.

key: string

The key to compare against the value.

type: "eq" or "ne" or "gt" or 5 more

Specifies the comparison operator: eq, ne, gt, gte, lt, lte, in, nin.

  • eq: equals
  • ne: not equal
  • gt: greater than
  • gte: greater than or equal
  • lt: less than
  • lte: less than or equal
  • in: in
  • nin: not in
"eq"
"ne"
"gt"
"gte"
"lt"
"lte"
"in"
"nin"
value: string or number or boolean or array of string or number

The value to compare against the attribute key; supports string, number, or boolean types.

union_member_0: string
union_member_1: number
union_member_2: boolean
union_member_3: array of string or number
union_member_0: string
union_member_1: number
union_member_1: unknown
type: "and" or "or"

Type of operation: and or or.

"and"
"or"
max_num_results: optional number

The maximum number of results to return. This number should be between 1 and 50 inclusive.

ranking_options: optional object { hybrid_search, ranker, score_threshold }

Ranking options for search.

text_weight: number

The weight of the text in the reciprocal ranking fusion.

ranker: optional "auto" or "default-2024-11-15"

The ranker to use for the file search.

"auto"
"default-2024-11-15"
score_threshold: optional number

The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results.

beta_computer_tool: object { type }

A tool that controls a virtual computer. Learn more about the computer tool.

type: "computer"

The type of the computer tool. Always computer.

beta_computer_use_preview_tool: object { display_height, display_width, environment, type }

A tool that controls a virtual computer. Learn more about the computer tool.

display_height: number

The height of the computer display.

display_width: number

The width of the computer display.

environment: "windows" or "mac" or "linux" or 2 more

The type of computer environment to control.

"windows"
"mac"
"linux"
"ubuntu"
"browser"
type: "computer_use_preview"

The type of the computer use tool. Always computer_use_preview.

beta_web_search_tool: object { type, external_web_access, filters, 2 more }

Search the Internet for sources related to the prompt. Learn more about the web search tool.

type: "web_search" or "web_search_2025_08_26"

The type of the web search tool. One of web_search or web_search_2025_08_26.

"web_search"
"web_search_2025_08_26"
external_web_access: optional boolean

Allow live internet access for web search. Defaults to true when omitted. When false, the web search tool runs in offline/cache-only mode and will not fetch new external content.

filters: optional object { allowed_domains }

Filters for the search.

allowed_domains: optional array of string

Allowed domains for the search. If not provided, all domains are allowed. Subdomains of the provided domains are allowed as well.

Example: ["pubmed.ncbi.nlm.nih.gov"]

search_context_size: optional "low" or "medium" or "high"

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.

"low"
"medium"
"high"
user_location: optional object { city, country, region, 2 more }

The approximate location of the user.

city: optional string

Free text input for the city of the user, e.g. San Francisco.

country: optional string

The two-letter ISO country code of the user, e.g. US.

region: optional string

Free text input for the region of the user, e.g. California.

timezone: optional string

The IANA timezone of the user, e.g. America/Los_Angeles.

type: optional "approximate"

The type of location approximation. Always approximate.

"approximate"
mcp: object { server_label, type, allowed_callers, 9 more }

Give the model access to additional tools via remote Model Context Protocol (MCP) servers. Learn more about MCP.

server_label: string

A label for this MCP server, used to identify it in tool calls.

type: "mcp"

The type of the MCP tool. Always mcp.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
allowed_tools: optional array of string or object { read_only, tool_names }

List of allowed tool names or a filter object.

MCP allowed tools: array of string

A string array of allowed tool names

MCP tool filter: object { read_only, tool_names }

A filter object to specify which tools are allowed.

read_only: optional boolean

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.

tool_names: optional array of string

List of allowed tool names.

authorization: optional string

An OAuth access token that can be used with a remote MCP server, either with a custom MCP server URL or a service connector. Your application must handle the OAuth authorization flow and provide the token here.

connector_id: optional "connector_dropbox" or "connector_gmail" or "connector_googlecalendar" or 5 more

Identifier for service connectors, like those available in ChatGPT. One of server_url, connector_id, or tunnel_id must be provided. Learn more about service connectors here.

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
"connector_dropbox"
"connector_gmail"
"connector_googlecalendar"
"connector_googledrive"
"connector_microsoftteams"
"connector_outlookcalendar"
"connector_outlookemail"
"connector_sharepoint"
defer_loading: optional boolean

Whether this MCP tool is deferred and discovered via tool search.

headers: optional map[string]

Optional HTTP headers to send to the MCP server. Use for authentication or other purposes.

require_approval: optional object { always, never } or "always" or "never"

Specify which of the MCP server’s tools require approval.

MCP tool approval filter: object { always, never }

Specify which of the MCP server’s tools require approval. Can be always, never, or a filter object associated with tools that require approval.

always: optional object { read_only, tool_names }

A filter object to specify which tools are allowed.

read_only: optional boolean

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.

tool_names: optional array of string

List of allowed tool names.

never: optional object { read_only, tool_names }

A filter object to specify which tools are allowed.

read_only: optional boolean

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.

tool_names: optional array of string

List of allowed tool names.

MCP tool approval setting: "always" or "never"

Specify a single approval policy for all tools. One of always or never. When set to always, all tools will require approval. When set to never, all tools will not require approval.

"always"
"never"
server_description: optional string

Optional description of the MCP server, used to provide more context.

server_url: optional string

The URL for the MCP server. One of server_url, connector_id, or tunnel_id must be provided.

tunnel_id: optional string

The Secure MCP Tunnel ID to use instead of a direct server URL. One of server_url, connector_id, or tunnel_id must be provided.

code_interpreter: object { container, type, allowed_callers }

A tool that runs Python code to help generate a response to a prompt.

container: string or object { type, file_ids, memory_limit, network_policy }

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.

union_member_0: string

The container ID.

CodeInterpreterToolAuto: object { type, file_ids, memory_limit, network_policy }

Configuration for a code interpreter container. Optionally specify the IDs of the files to run the code on.

type: "auto"

Always auto.

file_ids: optional array of string

An optional list of uploaded files to make available to your code.

memory_limit: optional "1g" or "4g" or "16g" or "64g"

The memory limit for the code interpreter container.

"1g"
"4g"
"16g"
"64g"
network_policy: optional BetaContainerNetworkPolicyDisabled { type } or BetaContainerNetworkPolicyAllowlist { allowed_domains, type, domain_secrets }

Network access policy for the container.

beta_container_network_policy_disabled: object { type }
type: "disabled"

Disable outbound network access. Always disabled.

beta_container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }
allowed_domains: array of string

A list of allowed domains when type is allowlist.

type: "allowlist"

Allow outbound network access only to specified domains. Always allowlist.

domain_secrets: optional array of BetaContainerNetworkPolicyDomainSecret { domain, name, value }

Optional domain-scoped secrets for allowlisted domains.

domain: string

The domain associated with the secret.

name: string

The name of the secret to inject for the domain.

value: string

The secret value to inject for the domain.

type: "code_interpreter"

The type of the code interpreter tool. Always code_interpreter.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
programmatic_tool_calling: object { type }
image_generation: object { type, action, background, 9 more }

A tool that generates images using the GPT image models.

type: "image_generation"

The type of the image generation tool. Always image_generation.

action: optional "generate" or "edit" or "auto"

Whether to generate a new image or edit an existing image. Default: auto.

"generate"
"edit"
"auto"
background: optional "transparent" or "opaque" or "auto"

Allows to set transparency for the background of the generated image(s). Must be one of transparent, opaque, or auto (default value). When auto is used, the model will automatically determine the best background for the image.

Transparent backgrounds are available for supported GPT Image models. For gpt-image-2 and gpt-image-2-2026-04-21, this support is in preview. When using transparent, set the output format to png or webp.

"transparent"
"opaque"
"auto"
input_fidelity: optional "high" or "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.

"high"
"low"
input_image_mask: optional object { file_id, image_url }

Optional mask for inpainting. Contains image_url (string, optional) and file_id (string, optional).

file_id: optional string

File ID for the mask image.

image_url: optional string

Base64-encoded mask image.

model: optional string or "gpt-image-1" or "gpt-image-1-mini" or "gpt-image-2" or 3 more

The image generation model to use. One of gpt-image-1, gpt-image-1-mini, gpt-image-1.5, gpt-image-2, gpt-image-2-2026-04-21, or chatgpt-image-latest. Default: gpt-image-1.

"gpt-image-1"
"gpt-image-1-mini"
"gpt-image-2"
"gpt-image-2-2026-04-21"
"gpt-image-1.5"
"chatgpt-image-latest"
moderation: optional "auto" or "low"

Moderation level for the generated image. Default: auto.

"auto"
"low"
output_compression: optional number

Compression level for the output image. Default: 100.

output_format: optional "png" or "webp" or "jpeg"

The output format of the generated image. One of png, webp, or jpeg. Default: png.

"png"
"webp"
"jpeg"
partial_images: optional number

Number of partial images to generate in streaming mode, from 0 (default value) to 3.

quality: optional "low" or "medium" or "high" or "auto"

The quality of the generated image. One of low, medium, high, or auto. Default: auto.

"low"
"medium"
"high"
"auto"
size: optional string or "1024x1024" or "1024x1536" or "1536x1024" or "auto"

The size of the generated images. For gpt-image-2 and gpt-image-2-2026-04-21, arbitrary resolutions are supported as WIDTHxHEIGHT strings, for example 1536x864. Width and height must both be divisible by 16 and the requested aspect ratio must be between 1:3 and 3:1. Resolutions above 2560x1440 are experimental, and the maximum supported resolution is 3840x2160. The requested size must also satisfy the model’s current pixel and edge limits. The standard sizes 1024x1024, 1536x1024, and 1024x1536 are supported by the GPT image models; auto is supported for models that allow automatic sizing. For dall-e-2, use one of 256x256, 512x512, or 1024x1024. For dall-e-3, use one of 1024x1024, 1792x1024, or 1024x1792.

"1024x1024"
"1024x1536"
"1536x1024"
"auto"
local_shell: object { type }

A tool that allows the model to execute shell commands in a local environment.

beta_function_shell_tool: object { type, allowed_callers, environment }

A tool that allows the model to execute shell commands.

type: "shell"

The type of the shell tool. Always shell.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
environment: optional BetaContainerAuto { type, file_ids, memory_limit, 2 more } or BetaLocalEnvironment { type, skills } or BetaContainerReference { container_id, type }
beta_container_auto: object { type, file_ids, memory_limit, 2 more }
type: "container_auto"

Automatically creates a container for this request

file_ids: optional array of string

An optional list of uploaded files to make available to your code.

memory_limit: optional "1g" or "4g" or "16g" or "64g"

The memory limit for the container.

"1g"
"4g"
"16g"
"64g"
network_policy: optional BetaContainerNetworkPolicyDisabled { type } or BetaContainerNetworkPolicyAllowlist { allowed_domains, type, domain_secrets }

Network access policy for the container.

beta_container_network_policy_disabled: object { type }
type: "disabled"

Disable outbound network access. Always disabled.

beta_container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }
allowed_domains: array of string

A list of allowed domains when type is allowlist.

type: "allowlist"

Allow outbound network access only to specified domains. Always allowlist.

domain_secrets: optional array of BetaContainerNetworkPolicyDomainSecret { domain, name, value }

Optional domain-scoped secrets for allowlisted domains.

domain: string

The domain associated with the secret.

name: string

The name of the secret to inject for the domain.

value: string

The secret value to inject for the domain.

skills: optional array of BetaSkillReference { skill_id, type, version } or BetaInlineSkill { description, name, source, type }

An optional list of skills referenced by id or inline data.

beta_skill_reference: object { skill_id, type, version }
skill_id: string

The ID of the referenced skill.

type: "skill_reference"

References a skill created with the /v1/skills endpoint.

version: optional string

Optional skill version. Use a positive integer or ‘latest’. Omit for default.

beta_inline_skill: object { description, name, source, type }
description: string

The description of the skill.

name: string

The name of the skill.

source: object { data, media_type, type }

Inline skill payload

data: string

Base64-encoded skill zip bundle.

media_type: "application/zip"

The media type of the inline skill payload. Must be application/zip.

type: "base64"

The type of the inline skill source. Must be base64.

type: "inline"

Defines an inline skill for this request.

beta_local_environment: object { type, skills }
type: "local"

Use a local computer environment.

skills: optional array of BetaLocalSkill { description, name, path }

An optional list of skills.

description: string

The description of the skill.

name: string

The name of the skill.

path: string

The path to the directory containing the skill.

beta_container_reference: object { container_id, type }
container_id: string

The ID of the referenced container.

type: "container_reference"

References a container created with the /v1/containers endpoint

beta_custom_tool: object { name, type, allowed_callers, 4 more }

A custom tool that processes input using a specified format. Learn more about custom tools

name: string

The name of the custom tool, used to identify it in tool calls.

type: "custom"

The type of the custom tool. Always custom.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
async: optional boolean

Whether the tool response can be returned asynchronously versus immediately returned on next response creation.

defer_loading: optional boolean

Whether this tool should be deferred and discovered via tool search.

description: optional string

Optional description of the custom tool, used to provide more context.

format: optional object { type } or object { definition, syntax, type }

The input format for the custom tool. Default is unconstrained text.

text: object { type }

Unconstrained free-form text.

grammar: object { definition, syntax, type }

A grammar defined by the user.

definition: string

The grammar definition.

syntax: "lark" or "regex"

The syntax of the grammar definition. One of lark or regex.

"lark"
"regex"
type: "grammar"

Grammar format. Always grammar.

beta_namespace_tool: object { description, name, tools, type }

Groups function/custom tools under a shared namespace.

description: string

A description of the namespace shown to the model.

name: string

The namespace name used in tool calls (for example, crm).

tools: array of object { name, type, allowed_callers, 6 more } or BetaCustomTool { name, type, allowed_callers, 4 more }

The function/custom tools available inside this namespace.

function: object { name, type, allowed_callers, 6 more }
name: string
type: "function"
allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
async: optional boolean

Whether the tool response can be returned asynchronously versus immediately returned on next response creation.

defer_loading: optional boolean

Whether this function should be deferred and discovered via tool search.

description: optional string
output_schema: optional map[unknown]

A JSON Schema describing the JSON value encoded in string outputs for this function tool. This does not describe content-array outputs.

parameters: optional unknown
strict: optional boolean

Whether to enforce strict parameter validation. If omitted, Responses attempts to use strict validation when the schema is compatible, and falls back to non-strict validation otherwise.

beta_custom_tool: object { name, type, allowed_callers, 4 more }

A custom tool that processes input using a specified format. Learn more about custom tools

name: string

The name of the custom tool, used to identify it in tool calls.

type: "custom"

The type of the custom tool. Always custom.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"
async: optional boolean

Whether the tool response can be returned asynchronously versus immediately returned on next response creation.

defer_loading: optional boolean

Whether this tool should be deferred and discovered via tool search.

description: optional string

Optional description of the custom tool, used to provide more context.

format: optional object { type } or object { definition, syntax, type }

The input format for the custom tool. Default is unconstrained text.

text: object { type }

Unconstrained free-form text.

grammar: object { definition, syntax, type }

A grammar defined by the user.

definition: string

The grammar definition.

syntax: "lark" or "regex"

The syntax of the grammar definition. One of lark or regex.

"lark"
"regex"
type: "grammar"

Grammar format. Always grammar.

type: "namespace"

The type of the tool. Always namespace.

beta_tool_search_tool: object { type, description, execution, parameters }

Hosted or BYOT tool search configuration for deferred tools.

type: "tool_search"

The type of the tool. Always tool_search.

description: optional string

Description shown to the model for a client-executed tool search tool.

execution: optional "server" or "client"

Whether tool search is executed by the server or by the client.

"server"
"client"
parameters: optional unknown

Parameter schema for a client-executed tool search tool.

beta_web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

This tool searches the web for relevant results to use in a response. Learn more about the web search tool.

type: "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.

"web_search_preview"
"web_search_preview_2025_03_11"
search_content_types: optional array of "text" or "image"
"text"
"image"
search_context_size: optional "low" or "medium" or "high"

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.

"low"
"medium"
"high"
user_location: optional object { type, city, country, 2 more }

The user’s location.

type: "approximate"

The type of location approximation. Always approximate.

city: optional string

Free text input for the city of the user, e.g. San Francisco.

country: optional string

The two-letter ISO country code of the user, e.g. US.

region: optional string

Free text input for the region of the user, e.g. California.

timezone: optional string

The IANA timezone of the user, e.g. America/Los_Angeles.

beta_apply_patch_tool: object { type, allowed_callers }

Allows the assistant to create, delete, or update files using unified diffs.

type: "apply_patch"

The type of the tool. Always apply_patch.

allowed_callers: optional array of "direct" or "programmatic"

The tool invocation context(s).

"direct"
"programmatic"