Get input token counts

CURRENTLY NOT SUPPORTED

Returns input token counts of the request. Returns an object with object set to response.input_tokens and an input_tokens count.

Request

POST

https://ai.api.cloud.yandex.net/v1/responses/input_tokens

Body

application/json

{
          "model": "example",
          "input": "example",
          "previous_response_id": "example",
          "tools": [
            {
              "type": "function",
              "name": "example",
              "description": null,
              "parameters": null,
              "strict": null,
              "defer_loading": true
            }
          ],
          "text": {
            "format": {
              "type": "text"
            },
            "verbosity": "medium"
          },
          "reasoning": {
            "effort": "medium",
            "summary": "auto",
            "generate_summary": "auto"
          },
          "truncation": "auto",
          "instructions": "example",
          "conversation": null,
          "tool_choice": "none",
          "parallel_tool_calls": true
        }

Name	Description
conversation	Any of 2 types Type: ConversationParam 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. Default: `null` Example: `example` Type: null Example: `null` Example: `example`
input	Any of 2 types One of 2 types Type: string A text input to the model, equivalent to a text input with the `user` role. Max length: `10485760` Example: `example` Type: InputItem[] A list of one or many input items to the model, containing different content types. Example `[ { "type": "message", "role": "user", "status": "in_progress", "content": [ null ] } ]` Text, image, or file inputs to the model, used to generate a response Example: `example` Type: null Example: `null` Example: `example`
instructions	Any of 2 types Type: string A system (or developer) message inserted into the model's context. When used along with `previous_response_id`, the instructions from a previous response will not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses. Example: `example` Type: null Example: `null` Example: `example`
model	Any of 2 types Type: string Model ID used to generate the response. AI Studio offers a wide range of models with different capabilities, performance characteristics, and price points. Example: `example` Type: null Example: `null` Example: `example`
parallel_tool_calls	Any of 2 types Type: boolean Whether to allow the model to run tool calls in parallel. Type: null Example: `null` Example: `true`
previous_response_id	Any of 2 types Type: string The unique ID of the previous response to the model. Use this to create multi-turn conversations. Cannot be used in conjunction with `conversation`. Example: `example` Type: null Example: `null` Example: `example`
reasoning	Any of 2 types Reasoning Type: Reasoning Configuration options for reasoning models. CURRENTLY NOT SUPPORTED Example `{ "effort": "medium", "summary": "auto", "generate_summary": "auto" }` Type: null Example: `null` Example `{ "effort": "medium", "summary": "auto", "generate_summary": "auto" }`
text	Any of 2 types Type: ResponseTextParam Configuration options for a text response from the model. Can be plain text or structured JSON data. Example `{ "format": { "type": "text" }, "verbosity": "medium" }` Type: null Example: `null` Example `{ "format": { "type": "text" }, "verbosity": "medium" }`
tool_choice	Any of 2 types Type: ToolChoiceParam Controls which tool the model should use, if any. 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. Example: `none` Type: null Example: `null` Example: `none`
tools	Any of 2 types Type: Tool[] 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. Example `[ { "type": "function", "name": "example", "description": "example", "parameters": {}, "strict": true, "defer_loading": true } ]` Type: null Example: `null` Example `[ { "type": "function", "name": "example", "description": "example", "parameters": {}, "strict": true, "defer_loading": true } ]`
truncation	Type: TruncationEnum 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. Enum: `auto`, `disabled`

InputTextContent

A text input to the model.

Name

Description

text

Type: string

The text input to the model.

Example: example

type

Type: string

The type of the input item. Always input_text.

Default: input_text

Const: input_text

Example

{
          "type": "input_text",
          "text": "example"
        }

ImageDetail

Type: string

Enum: low, high, auto, original

InputImageContent

An image input to the model.

Name	Description
detail	Type: ImageDetail The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. Enum: `low`, `high`, `auto`, `original`
type	Type: string The type of the input item. Always `input_image`. Default: `input_image` Const: `input_image`
file_id	Any of 2 types Type: string The ID of the file to be sent to the model. Example: `example` Type: null Example: `null` Example: `example`
image_url	Any of 2 types Type: string The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "input_image",
          "image_url": "example",
          "file_id": "example",
          "detail": "low"
        }

InputFileContent

A file input to the model.

Name	Description
type	Type: string The type of the input item. Always `input_file`. Default: `input_file` Const: `input_file`
detail	Type: FileInputDetail 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`. Enum: `low`, `high`
file_data	Type: string The content of the file to be sent to the model. Example: `example`
file_id	Any of 2 types Type: string The ID of the file to be sent to the model. Example: `example` Type: null Example: `null` Example: `example`
file_url	Type: string The URL of the file to be sent to the model. Example: `example`
filename	Type: string The name of the file to be sent to the model. Example: `example`

Example

{
          "type": "input_file",
          "file_id": "example",
          "filename": "example",
          "file_data": "example",
          "file_url": "example",
          "detail": "low"
        }

InputContent

One of 3 types

Input text

Type: InputTextContent

A text input to the model.

Example

{
          "type": "input_text",
          "text": "example"
        }

Input image

Type: InputImageContent

An image input to the model.

Example

{
          "type": "input_image",
          "image_url": "example",
          "file_id": "example",
          "detail": "low"
        }

Input file

Type: InputFileContent

A file input to the model.

Example

{
          "type": "input_file",
          "file_id": "example",
          "filename": "example",
          "file_data": "example",
          "file_url": "example",
          "detail": "low"
        }

Example

{
          "type": "input_text",
          "text": "example"
        }

InputMessageContentList

A list of one or many input items to the model, containing different content types.

Type: InputContent[]

Example

[
          {
            "type": "input_text",
            "text": "example"
          }
        ]

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.

Name	Description
content	Type: InputMessageContentList A list of one or many input items to the model, containing different content types. Example `[ { "type": "input_text", "text": "example" } ]`
role	Type: string The role of the message input. One of `user`, `system`, or `developer`. Enum: `user`, `system`, `developer`
status	Type: string The status of item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. Enum: `in_progress`, `completed`, `incomplete`
type	Type: string The type of the message input. Always set to `message`. Const: `message` Example: `example`

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

FileCitationBody

A citation to a file.

Name	Description
file_id	Type: string The ID of the file. Example: `example`
filename	Type: string The filename of the file cited. Example: `example`
index	Type: integer The index of the file in the list of files.
type	Type: string The type of the file citation. Always `file_citation`. Default: `file_citation` Const: `file_citation`

Example

{
          "type": "file_citation",
          "file_id": "example",
          "index": 0,
          "filename": "example"
        }

UrlCitationBody

A citation for a web resource used to generate a model response.

Name	Description
end_index	Type: integer The index of the last character of the URL citation in the message.
start_index	Type: integer The index of the first character of the URL citation in the message.
title	Type: string The title of the web resource. Example: `example`
type	Type: string The type of the URL citation. Always `url_citation`. Default: `url_citation` Const: `url_citation`
url	Type: string The URL of the web resource. Example: `example`

Example

{
          "type": "url_citation",
          "url": "example",
          "start_index": 0,
          "end_index": 0,
          "title": "example"
        }

ContainerFileCitationBody

A citation for a container file used to generate a model response.

Name	Description
container_id	Type: string The ID of the container file. Example: `example`
end_index	Type: integer The index of the last character of the container file citation in the message.
file_id	Type: string The ID of the file. Example: `example`
filename	Type: string The filename of the container file cited. Example: `example`
start_index	Type: integer The index of the first character of the container file citation in the message.
type	Type: string The type of the container file citation. Always `container_file_citation`. Default: `container_file_citation` Const: `container_file_citation`

Example

{
          "type": "container_file_citation",
          "container_id": "example",
          "file_id": "example",
          "start_index": 0,
          "end_index": 0,
          "filename": "example"
        }

FilePath

A path to a file.

Name	Description
file_id	Type: string The ID of the file. Example: `example`
index	Type: integer The index of the file in the list of files.
type	Type: string The type of the file path. Always `file_path`. Const: `file_path` Example: `example`

Example

{
          "type": "file_path",
          "file_id": "example",
          "index": 0
        }

Annotation

An annotation that applies to a span of output text.

One of 4 types

File citation

Type: FileCitationBody

A citation to a file.

Example

{
          "type": "file_citation",
          "file_id": "example",
          "index": 0,
          "filename": "example"
        }

URL citation

Type: UrlCitationBody

A citation for a web resource used to generate a model response.

Example

{
          "type": "url_citation",
          "url": "example",
          "start_index": 0,
          "end_index": 0,
          "title": "example"
        }

Container file citation

Type: ContainerFileCitationBody

A citation for a container file used to generate a model response.

Example

{
          "type": "container_file_citation",
          "container_id": "example",
          "file_id": "example",
          "start_index": 0,
          "end_index": 0,
          "filename": "example"
        }

File path

Type: FilePath

A path to a file.

Example

{
          "type": "file_path",
          "file_id": "example",
          "index": 0
        }

Example

{
          "type": "file_citation",
          "file_id": "example",
          "index": 0,
          "filename": "example"
        }

TopLogProb

The top log probability of a token.

Name	Description
bytes	Type: integer[] Example `[ 0 ]`
logprob	Type: number
token	Type: string Example: `example`

Example

{
          "token": "example",
          "logprob": 0.5,
          "bytes": [
            0
          ]
        }

LogProb

The log probability of a token.

Name	Description
bytes	Type: integer[] Example `[ 0 ]`
logprob	Type: number
token	Type: string Example: `example`
top_logprobs	Type: TopLogProb[] Example `[ { "token": "example", "logprob": 0.5, "bytes": [ 0 ] } ]`

Example

{
          "token": "example",
          "logprob": 0.5,
          "bytes": [
            0
          ],
          "top_logprobs": [
            {
              "token": "example",
              "logprob": 0.5,
              "bytes": [
                0
              ]
            }
          ]
        }

OutputTextContent

A text output from the model.

Name	Description
annotations	Type: Annotation[] The annotations of the text output. Example `[ { "type": "file_citation", "file_id": "example", "index": 0, "filename": "example" } ]`
logprobs	Type: LogProb[] Example `[ { "token": "example", "logprob": 0.5, "bytes": [ 0 ], "top_logprobs": [ { "token": "example", "logprob": 0.5, "bytes": [ 0 ] } ] } ]`
text	Type: string The text output from the model. Example: `example`
type	Type: string The type of the output text. Always `output_text`. Default: `output_text` Const: `output_text`

Example

{
          "type": "output_text",
          "text": "example",
          "annotations": [
            {
              "type": "file_citation",
              "file_id": "example",
              "index": 0,
              "filename": "example"
            }
          ],
          "logprobs": [
            {
              "token": "example",
              "logprob": 0.5,
              "bytes": [
                0
              ],
              "top_logprobs": [
                {
                  "token": "example",
                  "logprob": 0.5,
                  "bytes": [
                    null
                  ]
                }
              ]
            }
          ]
        }

RefusalContent

A refusal from the model.

Name

Description

refusal

Type: string

The refusal explanation from the model.

Example: example

type

Type: string

The type of the refusal. Always refusal.

Default: refusal

Const: refusal

Example

{
          "type": "refusal",
          "refusal": "example"
        }

OutputMessageContent

One of 2 types

Output text

Type: OutputTextContent

A text output from the model.

Example

{
          "type": "output_text",
          "text": "example",
          "annotations": [
            {
              "type": "file_citation",
              "file_id": "example",
              "index": 0,
              "filename": "example"
            }
          ],
          "logprobs": [
            {
              "token": "example",
              "logprob": 0.5,
              "bytes": [
                0
              ],
              "top_logprobs": [
                {
                  "token": "example",
                  "logprob": 0.5,
                  "bytes": [
                    null
                  ]
                }
              ]
            }
          ]
        }

Refusal

Type: RefusalContent

A refusal from the model.

Example

{
          "type": "refusal",
          "refusal": "example"
        }

Example

{
          "type": "output_text",
          "text": "example",
          "annotations": [
            {
              "type": "file_citation",
              "file_id": "example",
              "index": 0,
              "filename": "example"
            }
          ],
          "logprobs": [
            {
              "token": "example",
              "logprob": 0.5,
              "bytes": [
                0
              ],
              "top_logprobs": [
                {}
              ]
            }
          ]
        }

MessagePhase

Labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer). Not used for user messages.

Type: string

Enum: commentary, final_answer

OutputMessage

An output message from the model.

Name	Description
content	Type: OutputMessageContent[] The content of the output message. Example `[ { "type": "output_text", "text": "example", "annotations": [ {} ], "logprobs": [ { "token": "example", "logprob": 0.5, "bytes": [ null ], "top_logprobs": [ null ] } ] } ]`
id	Type: string The unique ID of the output message. Example: `example`
role	Type: string The role of the output message. Always `assistant`. Const: `assistant` Example: `example`
status	Type: string The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. Enum: `in_progress`, `completed`, `incomplete`
type	Type: string The type of the output message. Always `message`. Const: `message` Example: `example`
phase	Any of 2 types Type: MessagePhase Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`). Not used for user messages. Enum: `commentary`, `final_answer` Type: null Example: `null` Example: `commentary`

Example

{
          "id": "example",
          "type": "message",
          "role": "assistant",
          "content": [
            {
              "type": "output_text",
              "text": "example",
              "annotations": [
                null
              ],
              "logprobs": [
                {}
              ]
            }
          ],
          "phase": "commentary",
          "status": "in_progress"
        }

VectorStoreFileAttributes

Any of 2 types

Type: object

[additional]

One of 3 types

Type: string

Max length: 512

Example: example
Type: number
Type: boolean

Example: example

Set of 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.

Max properties: 16

Example

{}

Type: unknown

Example: null

Default: null

FileSearchToolCall

The results of a File Search tool call.

Name

Description

Type: string

The unique ID of the file search tool call.

Example: example

queries

Type: string[]

The queries used to search for files.

Example

[
          "example"
        ]

status

Type: string

The status of the file search tool call. One of in_progress, searching, incomplete or failed,

Enum: in_progress, searching, completed, incomplete, failed

type

Type: string

The type of the file search tool call. Always file_search_call.

Const: file_search_call

Example: example

results

Any of 2 types

Type: object[]

attributes	Type: VectorStoreFileAttributes Default: `null` Example `{}`
file_id	Type: string The unique ID of the file. Example: `example`
filename	Type: string The name of the file. Example: `example`
score	Type: number The relevance score of the file - a value between 0 and 1.
text	Type: string The text that was retrieved from the file. Example: `example`

The results of the file search tool call.

Example

[
          {
            "file_id": "example",
            "text": "example",
            "filename": "example",
            "attributes": null,
            "score": 0.5
          }
        ]

Type: null

Example: null

Example

[
          {
            "file_id": "example",
            "text": "example",
            "filename": "example",
            "attributes": null,
            "score": 0.5
          }
        ]

Example

{
          "id": "example",
          "type": "file_search_call",
          "status": "in_progress",
          "queries": [
            "example"
          ],
          "results": [
            {
              "file_id": "example",
              "text": "example",
              "filename": "example",
              "attributes": null,
              "score": 0.5
            }
          ]
        }

WebSearchActionSearch

Action type "search" - Performs a web search query.

Name

Description

query

Type: string

[DEPRECATED] The search query.

Example: example

type

Type: string

The action type.

Const: search

Example: example

queries

Type: string[]

The search queries.

Example

[
          "example"
        ]

sources

Type: Web search source

type

Type: string

The type of source. Always url.

Const: url

Example: example

url

Type: string

The URL of the source.

Example: example

The sources used in the search.

Example

[
          {
            "type": "url",
            "url": "example"
          }
        ]

Example

{
          "type": "search",
          "query": "example",
          "queries": [
            "example"
          ],
          "sources": [
            {
              "type": "url",
              "url": "example"
            }
          ]
        }

WebSearchActionOpenPage

Action type "open_page" - Opens a specific URL from search results.

Name

Description

type

Type: string

The action type.

Const: open_page

Example: example

url

Any of 2 types

Type: string<uri>

Example: https://example.com
Type: null

Example: null

The URL opened by the model.

Example: https://example.com

Example

{
          "type": "open_page",
          "url": "https://example.com"
        }

WebSearchActionFind

Action type "find_in_page": Searches for a pattern within a loaded page.

Name	Description
pattern	Type: string The pattern or text to search for within the page. Example: `example`
type	Type: string The action type. Const: `find_in_page` Example: `example`
url	Type: string<uri> The URL of the page searched for the pattern. Example: `https://example.com`

Example

{
          "type": "find_in_page",
          "url": "https://example.com",
          "pattern": "example"
        }

WebSearchToolCall

The results of a web search tool call.

Name	Description
action	Type: object One of 3 types Search action Type: WebSearchActionSearch Action type "search" - Performs a web search query. Example `{ "type": "search", "query": "example", "queries": [ "example" ], "sources": [ { "type": "url", "url": "example" } ] }` Open page action Type: WebSearchActionOpenPage Action type "open_page" - Opens a specific URL from search results. Example `{ "type": "open_page", "url": "https://example.com" }` Find action Type: WebSearchActionFind Action type "find_in_page": Searches for a pattern within a loaded page. Example `{ "type": "find_in_page", "url": "https://example.com", "pattern": "example" }` 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). Example `{ "type": "search", "query": "example", "queries": [ "example" ], "sources": [ { "type": "url", "url": "example" } ] }`
id	Type: string The unique ID of the web search tool call. Example: `example`
status	Type: string The status of the web search tool call. Enum: `in_progress`, `searching`, `completed`, `failed`
type	Type: string The type of the web search tool call. Always `web_search_call`. Const: `web_search_call` Example: `example`

Example

{
          "id": "example",
          "type": "web_search_call",
          "status": "in_progress",
          "action": {
            "type": "search",
            "query": "example",
            "queries": [
              "example"
            ],
            "sources": [
              {
                "type": "url",
                "url": "example"
              }
            ]
          }
        }

FunctionToolCall

A tool call to run a function.

Name	Description
arguments	Type: string A JSON string of the arguments to pass to the function. Example: `example`
call_id	Type: string The unique ID of the function tool call generated by the model. Example: `example`
name	Type: string The name of the function to run. Example: `example`
type	Type: string The type of the function tool call. Always `function_call`. Const: `function_call` Example: `example`
id	Type: string The unique ID of the function tool call. Example: `example`
namespace	Type: string The namespace of the function to run. Example: `example`
status	Type: string The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. Enum: `in_progress`, `completed`, `incomplete`

Example

{
          "id": "example",
          "type": "function_call",
          "call_id": "example",
          "namespace": "example",
          "name": "example",
          "arguments": "example",
          "status": "in_progress"
        }

InputTextContentParam

A text input to the model.

Name

Description

text

Type: string

The text input to the model.

Max length: 10485760

Example: example

type

Type: string

The type of the input item. Always input_text.

Default: input_text

Const: input_text

Example

{
          "type": "input_text",
          "text": "example"
        }

InputImageContentParamAutoParam

An image input to the model.

Name	Description
type	Type: string The type of the input item. Always `input_image`. Default: `input_image` Const: `input_image`
detail	Any of 2 types Type: DetailEnum The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. Enum: `low`, `high`, `auto`, `original` Type: null Example: `null` Example: `low`
file_id	Any of 2 types Type: string The ID of the file to be sent to the model. Example: `fvtdeb81rt1d978c5hvb` Type: null Example: `null` Example: `fvtdeb81rt1d978c5hvb`
image_url	Any of 2 types Type: string The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. Max length: `20971520` Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "input_image",
          "image_url": "example",
          "file_id": "fvtdeb81rt1d978c5hvb",
          "detail": "low"
        }

InputFileContentParam

A file input to the model.

Name	Description
type	Type: string The type of the input item. Always `input_file`. Default: `input_file` Const: `input_file`
detail	Type: FileDetailEnum 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`. Enum: `low`, `high`
file_data	Any of 2 types Type: string The base64-encoded data of the file to be sent to the model. Max length: `73400320` Example: `example` Type: null Example: `null` Example: `example`
file_id	Any of 2 types Type: string The ID of the file to be sent to the model. Example: `fvtdeb81rt1d978c5hvb` Type: null Example: `null` Example: `fvtdeb81rt1d978c5hvb`
file_url	Any of 2 types Type: string The URL of the file to be sent to the model. Example: `example` Type: null Example: `null` Example: `example`
filename	Any of 2 types Type: string The name of the file to be sent to the model. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "input_file",
          "file_id": "fvtdeb81rt1d978c5hvb",
          "filename": "example",
          "file_data": "example",
          "file_url": "example",
          "detail": "low"
        }

FunctionCallItemStatus

Type: string

Enum: in_progress, completed, incomplete

FunctionCallOutputItemParam

The output of a function tool call.

Name	Description
call_id	Type: string The unique ID of the function tool call generated by the model. Min length: `1` Max length: `64` Example: `example`
output	One of 2 types Type: string A JSON string of the output of the function tool call. Max length: `10485760` Example: `example` Type: array One of 3 types Input text Type: InputTextContentParam A text input to the model. Example `{ "type": "input_text", "text": "example" }` Input image Type: InputImageContentParamAutoParam An image input to the model. Example `{ "type": "input_image", "image_url": "example", "file_id": "fvtdeb81rt1d978c5hvb", "detail": "low" }` Input file Type: InputFileContentParam A file input to the model. Example `{ "type": "input_file", "file_id": "fvtdeb81rt1d978c5hvb", "filename": "example", "file_data": "example", "file_url": "example", "detail": "low" }` An array of content outputs (text, image, file) for the function tool call. Example `[ { "type": "input_text", "text": "example" } ]` Text, image, or file output of the function tool call. Example: `example`
type	Type: string The type of the function tool call output. Always `function_call_output`. Default: `function_call_output` Const: `function_call_output`
id	Any of 2 types Type: string The unique ID of the function tool call output. Populated when this item is returned via API. Example: `example` Type: null Example: `null` Example: `example`
status	Any of 2 types Type: FunctionCallItemStatus The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. Enum: `in_progress`, `completed`, `incomplete` Type: null Example: `null` Example: `in_progress`

Example

{
          "id": "example",
          "call_id": "example",
          "type": "function_call_output",
          "output": "example",
          "status": "in_progress"
        }

SummaryTextContent

A summary text from the model.

Name

Description

text

Type: string

A summary of the reasoning output from the model so far.

Example: example

type

Type: string

The type of the object. Always summary_text.

Default: summary_text

Const: summary_text

Example

{
          "type": "summary_text",
          "text": "example"
        }

ReasoningTextContent

Reasoning text from the model.

Name

Description

text

Type: string

The reasoning text from the model.

Example: example

type

Type: string

The type of the reasoning text. Always reasoning_text.

Default: reasoning_text

Const: reasoning_text

Example

{
          "type": "reasoning_text",
          "text": "example"
        }

ReasoningItem

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.

Name	Description
id	Type: string The unique identifier of the reasoning content. Example: `example`
summary	Type: SummaryTextContent[] Reasoning summary content. Example `[ { "type": "summary_text", "text": "example" } ]`
type	Type: string The type of the object. Always `reasoning`. Const: `reasoning` Example: `example`
content	Type: ReasoningTextContent[] Reasoning text content. Example `[ { "type": "reasoning_text", "text": "example" } ]`
encrypted_content	Any of 2 types Type: string The encrypted content of the reasoning item - populated when a response is generated with `reasoning.encrypted_content` in the `include` parameter. Example: `example` Type: null Example: `null` Example: `example`
status	Type: string The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. Enum: `in_progress`, `completed`, `incomplete`

Example

{
          "type": "reasoning",
          "id": "example",
          "encrypted_content": "example",
          "summary": [
            {
              "type": "summary_text",
              "text": "example"
            }
          ],
          "content": [
            {
              "type": "reasoning_text",
              "text": "example"
            }
          ],
          "status": "in_progress"
        }

CompactionSummaryItemParam

A compaction item generated by the v1/responses/compact API.

Name	Description
encrypted_content	Type: string The encrypted content of the compaction summary. Max length: `10485760` Example: `example`
type	Type: string The type of the item. Always `compaction`. Default: `compaction` Const: `compaction`
id	Any of 2 types Type: string The ID of the compaction item. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "id": "example",
          "type": "compaction",
          "encrypted_content": "example"
        }

ImageGenToolCall

An image generation request made by the model.

Name	Description
id	Type: string The unique ID of the image generation call. Example: `example`
result	Any of 2 types Type: string The generated image encoded in base64. Example: `example` Type: null Example: `null` Example: `example`
status	Type: string The status of the image generation call. Enum: `in_progress`, `completed`, `generating`, `failed`
type	Type: string The type of the image generation call. Always `image_generation_call`. Const: `image_generation_call` Example: `example`

Example

{
          "type": "image_generation_call",
          "id": "example",
          "status": "in_progress",
          "result": "example"
        }

CodeInterpreterOutputLogs

The logs output from the code interpreter.

Name

Description

logs

Type: string

The logs output from the code interpreter.

Example: example

type

Type: string

The type of the output. Always logs.

Default: logs

Const: logs

Example

{
          "type": "logs",
          "logs": "example"
        }

CodeInterpreterOutputImage

The image output from the code interpreter.

Name

Description

type

Type: string

The type of the output. Always image.

Default: image

Const: image

url

Type: string

The URL of the image output from the code interpreter.

Example: example

Example

{
          "type": "image",
          "url": "example"
        }

CodeInterpreterToolCall

A tool call to run code.

Name	Description
code	Any of 2 types Type: string The code to run, or null if not available. Example: `example` Type: null Example: `null` Example: `example`
container_id	Type: string The ID of the container used to run the code. Example: `example`
id	Type: string The unique ID of the code interpreter tool call. Example: `example`
outputs	Any of 2 types Type: array One of 2 types Code interpreter output logs Type: CodeInterpreterOutputLogs The logs output from the code interpreter. Example `{ "type": "logs", "logs": "example" }` Code interpreter output image Type: CodeInterpreterOutputImage The image output from the code interpreter. Example `{ "type": "image", "url": "example" }` The outputs generated by the code interpreter, such as logs or images. Can be null if no outputs are available. Example `[ { "type": "logs", "logs": "example" } ]` Type: null Example: `null` Example `[ { "type": "logs", "logs": "example" } ]`
status	Type: string The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`. Enum: `in_progress`, `completed`, `incomplete`, `interpreting`, `failed`
type	Type: string The type of the code interpreter tool call. Always `code_interpreter_call`. Default: `code_interpreter_call` Const: `code_interpreter_call`

Example

{
          "type": "code_interpreter_call",
          "id": "example",
          "status": "in_progress",
          "container_id": "example",
          "code": "example",
          "outputs": [
            {
              "type": "logs",
              "logs": "example"
            }
          ]
        }

MCPListToolsTool

A tool available on an MCP server.

Name	Description
input_schema	Type: object The JSON schema describing the tool's input. Example `{}`
name	Type: string The name of the tool. Example: `example`
annotations	Any of 2 types Type: object Additional annotations about the tool. Example `{}` Type: null Example: `null` Example `{}`
description	Any of 2 types Type: string The description of the tool. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "name": "example",
          "description": "example",
          "input_schema": {},
          "annotations": {}
        }

MCPListTools

A list of tools available on an MCP server.

Name	Description
id	Type: string The unique ID of the list. Example: `example`
server_label	Type: string The label of the MCP server. Example: `example`
tools	Type: MCPListToolsTool[] The tools available on the server. Example `[ { "name": "example", "description": "example", "input_schema": {}, "annotations": {} } ]`
type	Type: string The type of the item. Always `mcp_list_tools`. Const: `mcp_list_tools` Example: `example`
error	Any of 2 types Type: string Error message if the server could not list tools. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "mcp_list_tools",
          "id": "example",
          "server_label": "example",
          "tools": [
            {
              "name": "example",
              "description": "example",
              "input_schema": {},
              "annotations": {}
            }
          ],
          "error": "example"
        }

MCPApprovalRequest

A request for human approval of a tool invocation.

Name	Description
arguments	Type: string A JSON string of arguments for the tool. Example: `example`
id	Type: string The unique ID of the approval request. Example: `example`
name	Type: string The name of the tool to run. Example: `example`
server_label	Type: string The label of the MCP server making the request. Example: `example`
type	Type: string The type of the item. Always `mcp_approval_request`. Const: `mcp_approval_request` Example: `example`

Example

{
          "type": "mcp_approval_request",
          "id": "example",
          "server_label": "example",
          "name": "example",
          "arguments": "example"
        }

MCPApprovalResponse

A response to an MCP approval request.

Name	Description
approval_request_id	Type: string The ID of the approval request being answered. Example: `example`
approve	Type: boolean Whether the request was approved.
type	Type: string The type of the item. Always `mcp_approval_response`. Const: `mcp_approval_response` Example: `example`
id	Any of 2 types Type: string The unique ID of the approval response Example: `example` Type: null Example: `null` Example: `example`
reason	Any of 2 types Type: string Optional reason for the decision. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "mcp_approval_response",
          "id": "example",
          "approval_request_id": "example",
          "approve": true,
          "reason": "example"
        }

MCPToolCallStatus

Type: string

Enum: in_progress, completed, incomplete, calling, failed

MCPToolCall

An invocation of a tool on an MCP server.

Name	Description
arguments	Type: string A JSON string of the arguments passed to the tool. Example: `example`
id	Type: string The unique ID of the tool call. Example: `example`
name	Type: string The name of the tool that was run. Example: `example`
server_label	Type: string The label of the MCP server running the tool. Example: `example`
type	Type: string The type of the item. Always `mcp_call`. Const: `mcp_call` Example: `example`
approval_request_id	Any of 2 types Type: string Unique identifier for the MCP tool call approval request. Include this value in a subsequent `mcp_approval_response` input to approve or reject the corresponding tool call. Example: `example` Type: null Example: `null` Example: `example`
error	Any of 2 types Type: string The error from the tool call, if any. Example: `example` Type: null Example: `null` Example: `example`
output	Any of 2 types Type: string The output from the tool call. Example: `example` Type: null Example: `null` Example: `example`
status	Type: MCPToolCallStatus The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`. Enum: `in_progress`, `completed`, `incomplete`, `calling`, `failed`

Example

{
          "type": "mcp_call",
          "id": "example",
          "server_label": "example",
          "name": "example",
          "arguments": "example",
          "output": "example",
          "error": "example",
          "status": "in_progress",
          "approval_request_id": "example"
        }

Item

Content item used to generate a response.

Type: object

One of 14 types

Input message

Type: InputMessage

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

Output message

Type: OutputMessage

An output message from the model.

Example

{
          "id": "example",
          "type": "message",
          "role": "assistant",
          "content": [
            {
              "type": "output_text",
              "text": "example",
              "annotations": [
                null
              ],
              "logprobs": [
                {}
              ]
            }
          ],
          "phase": "commentary",
          "status": "in_progress"
        }

File search tool call

Type: FileSearchToolCall

The results of a File Search tool call.

Example

{
          "id": "example",
          "type": "file_search_call",
          "status": "in_progress",
          "queries": [
            "example"
          ],
          "results": [
            {
              "file_id": "example",
              "text": "example",
              "filename": "example",
              "attributes": null,
              "score": 0.5
            }
          ]
        }

Web search tool call

Type: WebSearchToolCall

The results of a web search tool call.

Example

{
          "id": "example",
          "type": "web_search_call",
          "status": "in_progress",
          "action": {
            "type": "search",
            "query": "example",
            "queries": [
              "example"
            ],
            "sources": [
              {
                "type": "url",
                "url": "example"
              }
            ]
          }
        }

Function tool call

Type: FunctionToolCall

A tool call to run a function.

Example

{
          "id": "example",
          "type": "function_call",
          "call_id": "example",
          "namespace": "example",
          "name": "example",
          "arguments": "example",
          "status": "in_progress"
        }

Function tool call output

Type: FunctionCallOutputItemParam

The output of a function tool call.

Example

{
          "id": "example",
          "call_id": "example",
          "type": "function_call_output",
          "output": "example",
          "status": "in_progress"
        }

Reasoning

Type: ReasoningItem

Example

{
          "type": "reasoning",
          "id": "example",
          "encrypted_content": "example",
          "summary": [
            {
              "type": "summary_text",
              "text": "example"
            }
          ],
          "content": [
            {
              "type": "reasoning_text",
              "text": "example"
            }
          ],
          "status": "in_progress"
        }

Compaction item

Type: CompactionSummaryItemParam

A compaction item generated by the v1/responses/compact API.

Example

{
          "id": "example",
          "type": "compaction",
          "encrypted_content": "example"
        }

Image generation call

Type: ImageGenToolCall

An image generation request made by the model.

Example

{
          "type": "image_generation_call",
          "id": "example",
          "status": "in_progress",
          "result": "example"
        }

Code interpreter tool call

Type: CodeInterpreterToolCall

A tool call to run code.

Example

{
          "type": "code_interpreter_call",
          "id": "example",
          "status": "in_progress",
          "container_id": "example",
          "code": "example",
          "outputs": [
            {
              "type": "logs",
              "logs": "example"
            }
          ]
        }

MCP list tools

Type: MCPListTools

A list of tools available on an MCP server.

Example

{
          "type": "mcp_list_tools",
          "id": "example",
          "server_label": "example",
          "tools": [
            {
              "name": "example",
              "description": "example",
              "input_schema": {},
              "annotations": {}
            }
          ],
          "error": "example"
        }

MCP approval request

Type: MCPApprovalRequest

A request for human approval of a tool invocation.

Example

{
          "type": "mcp_approval_request",
          "id": "example",
          "server_label": "example",
          "name": "example",
          "arguments": "example"
        }

MCP approval response

Type: MCPApprovalResponse

A response to an MCP approval request.

Example

{
          "type": "mcp_approval_response",
          "id": "example",
          "approval_request_id": "example",
          "approve": true,
          "reason": "example"
        }

MCP tool call

Type: MCPToolCall

An invocation of a tool on an MCP server.

Example

{
          "type": "mcp_call",
          "id": "example",
          "server_label": "example",
          "name": "example",
          "arguments": "example",
          "output": "example",
          "error": "example",
          "status": "in_progress",
          "approval_request_id": "example"
        }

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

ItemReferenceParam

An internal identifier for an item to reference.

Name

Description

Type: string

The ID of the item to reference.

Example: example

type

Any of 2 types

Type: string

The type of item to reference. Always item_reference.

Default: item_reference

Const: item_reference
Type: null

Example: null

Example: example

Example

{
          "type": "item_reference",
          "id": "example"
        }

InputItem

One of 2 types

Item

Type: Item

An item representing part of the context for the response to be generated by the model. Can contain text, images, and audio inputs, as well as previous assistant responses and tool call outputs.

Content item used to generate a response.

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

Item reference

Type: ItemReferenceParam

An internal identifier for an item to reference.

Example

{
          "type": "item_reference",
          "id": "example"
        }

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {}
          ]
        }

FunctionTool

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

Name

Description

name

Type: string

The name of the function to call.

Example: example

parameters

Any of 2 types

Type: object

[additional]

Type: unknown

Example: null

A JSON schema object describing the parameters of the function.
Example
```
{}
        
```
Type: null

Example: null

Example

{}

strict

Any of 2 types

Type: boolean

Whether to enforce strict parameter validation. Default true.
Type: null

Example: null

Example: true

type

Type: string

The type of the function tool. Always function.

Default: function

Const: function

defer_loading

Type: boolean

Whether this function is deferred and loaded via tool search.

description

Any of 2 types

Type: string

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

Example: example
Type: null

Example: null

Example: example

Example

{
          "type": "function",
          "name": "example",
          "description": "example",
          "parameters": {},
          "strict": true,
          "defer_loading": true
        }

RankerVersionType

Type: string

Enum: auto, default-2024-11-15

HybridSearchOptions

Name

Description

embedding_weight

Type: number

The weight of the embedding in the reciprocal ranking fusion.

text_weight

Type: number

The weight of the text in the reciprocal ranking fusion.

Example

{
          "embedding_weight": 0.5,
          "text_weight": 0.5
        }

RankingOptions

Name	Description
hybrid_search	Type: HybridSearchOptions Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled. Example `{ "embedding_weight": 0.5, "text_weight": 0.5 }`
ranker	Type: RankerVersionType The ranker to use for the file search. Enum: `auto`, `default-2024-11-15`
score_threshold	Type: 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.

Example

{
          "ranker": "auto",
          "score_threshold": 0.5,
          "hybrid_search": {
            "embedding_weight": 0.5,
            "text_weight": 0.5
          }
        }

ComparisonFilter

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

Name	Description
key	Type: string The key to compare against the value. Example: `example`
type	Type: string Specifies the comparison operator: `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 Default: `eq` Enum: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`
value	One of 4 types Type: string Example: `example` Type: number Type: boolean Type: array One of 2 types Type: string Example: `example` Type: number Example `[ "example" ]` The value to compare against the attribute key; supports string, number, or boolean types. Example: `example`

Example

{
          "type": "eq",
          "key": "example",
          "value": "example"
        }

CompoundFilter

Combine multiple filters using and or or.

Name

Description

filters

Type: array

One of 2 types

Comparison Filter

Type: ComparisonFilter

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

Example

{
          "type": "eq",
          "key": "example",
          "value": "example"
        }

Type: unknown

Example: null

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

Example

[
          {
            "type": "eq",
            "key": "example",
            "value": "example"
          }
        ]

type

Type: string

Type of operation: and or or.

Enum: and, or

Example

{
          "type": "and",
          "filters": [
            {
              "type": "eq",
              "key": "example",
              "value": "example"
            }
          ]
        }

Filters

Any of 2 types

Comparison Filter

Type: ComparisonFilter

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

Example

{
          "type": "eq",
          "key": "example",
          "value": "example"
        }

Compound Filter

Type: CompoundFilter

Combine multiple filters using and or or.

Example

{
          "type": "and",
          "filters": [
            {
              "type": "eq",
              "key": "example",
              "value": "example"
            }
          ]
        }

Example

{
          "type": "eq",
          "key": "example",
          "value": "example"
        }

FileSearchTool

A tool that searches for relevant content from uploaded files. Learn more about the File Search tool.

Name	Description
type	Type: string The type of the file search tool. Always `file_search`. Default: `file_search` Const: `file_search`
vector_store_ids	Type: string[] The IDs of the vector stores to search. Example `[ "example" ]`
filters	Any of 2 types Type: Filters A filter to apply. Example `{ "type": "eq", "key": "example", "value": "example" }` Type: null Example: `null` Example `{ "type": "eq", "key": "example", "value": "example" }`
max_num_results	Type: integer The maximum number of results to return. This number should be between 1 and 50 inclusive.
ranking_options	Type: RankingOptions Ranking options for search. Example `{ "ranker": "auto", "score_threshold": 0.5, "hybrid_search": { "embedding_weight": 0.5, "text_weight": 0.5 } }`

Example

{
          "type": "file_search",
          "vector_store_ids": [
            "example"
          ],
          "max_num_results": 0,
          "ranking_options": {
            "ranker": "auto",
            "score_threshold": 0.5,
            "hybrid_search": {
              "embedding_weight": 0.5,
              "text_weight": 0.5
            }
          },
          "filters": {
            "type": "eq",
            "key": "example",
            "value": "example"
          }
        }

WebSearchApproximateLocation

Any of 2 types

Type: Web search approximate location

city	Any of 2 types Type: string Free text input for the city of the user, e.g. `San Francisco`. Example: `example` Type: null Example: `null` Example: `example`
country	Any of 2 types Type: string The two-letter ISO country code of the user, e.g. `US`. Example: `example` Type: null Example: `null` Example: `example`
region	Any of 2 types Type: string Free text input for the region of the user, e.g. `California`. Example: `example` Type: null Example: `null` Example: `example`
timezone	Any of 2 types Type: string The IANA timezone of the user, e.g. `America/Los_Angeles`. Example: `example` Type: null Example: `null` Example: `example`
type	Type: string The type of location approximation. Always `approximate`. Default: `approximate` Const: `approximate`

The approximate location of the user.

Example

{
          "type": "approximate",
          "country": "example",
          "region": "example",
          "city": "example",
          "timezone": "example"
        }

Type: null

Example: null

Example

{
          "type": "approximate",
          "country": "example",
          "region": "example",
          "city": "example",
          "timezone": "example"
        }

WebSearchTool

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

Name

Description

type

Type: string

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

Default: web_search

Enum: web_search, web_search_2025_08_26

filters

Any of 2 types

Type: object

allowed_domains

Any of 2 types

Allowed domains for the search.

Type: string[]

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

Default: []
Example
```
[
          "example"
        ]
        
```
Type: null

Example: null

Example

[
          "example"
        ]

Filters for the search.

Example

{
          "allowed_domains": []
        }

Type: null

Example: null

Example

{
          "allowed_domains": []
        }

search_context_size

Type: string

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.

Default: medium

Enum: low, medium, high

user_location

Type: WebSearchApproximateLocation

Example

{
          "type": "approximate",
          "country": "example",
          "region": "example",
          "city": "example",
          "timezone": "example"
        }

Example

{
          "type": "web_search",
          "filters": {
            "allowed_domains": []
          },
          "user_location": {
            "type": "approximate",
            "country": "example",
            "region": "example",
            "city": "example",
            "timezone": "example"
          },
          "search_context_size": "medium"
        }

MCPToolFilter

A filter object to specify which tools are allowed.

Name

Description

read_only

Type: 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

Type: string[]

List of allowed tool names.

Example

[
          "example"
        ]

Example

{
          "tool_names": [
            "example"
          ],
          "read_only": true
        }

MCPTool

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

Name

Description

server_label

Type: string

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

Example: example

type

Type: string

The type of the MCP tool. Always mcp.

Const: mcp

Example: example

allowed_tools

Any of 2 types

One of 2 types

MCP allowed tools

Type: string[]

A string array of allowed tool names
Example
```
[
          "example"
        ]
        
```

MCP tool filter

Type: MCPToolFilter

A filter object to specify which tools are allowed.

Example

{
          "tool_names": [
            "example"
          ],
          "read_only": true
        }

List of allowed tool names or a filter object.

Example

[
          "example"
        ]

Type: null

Example: null

Example

[
          "example"
        ]

authorization

Type: 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.

Example: example

connector_id

Type: string

Identifier for service connectors. One of server_url or connector_id must be provided.

Enum: connector_dropbox, connector_gmail, connector_googlecalendar, connector_googledrive, connector_microsoftteams, connector_outlookcalendar, connector_outlookemail, connector_sharepoint

defer_loading

Type: boolean

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

headers

Any of 2 types

Type: object

[additional]

Type: string

Example: example

Optional HTTP headers to send to the MCP server. Use for
authentication or other purposes.
Example
```
{}
        
```
Type: null

Example: null

Example

{}

require_approval

Any of 2 types

One of: MCP tool approval filter or MCP tool approval setting

Type: MCP tool approval filter

always

MCP tool filter

Type: MCPToolFilter

A filter object to specify which tools are allowed.

Example

{
          "tool_names": [
            "example"
          ],
          "read_only": true
        }

never

MCP tool filter

Type: MCPToolFilter

A filter object to specify which tools are allowed.

Example

{
          "tool_names": [
            "example"
          ],
          "read_only": true
        }

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

Example

{
          "always": {
            "tool_names": [
              "example"
            ],
            "read_only": true
          },
          "never": null
        }

MCP tool approval setting

Type: string

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

Enum: always, never

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

Default: always

Type: null

Example: null

Example

{
          "always": {
            "tool_names": [
              "example"
            ],
            "read_only": true
          },
          "never": null
        }

server_description

Type: string

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

Example: example

server_url

Type: string

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

Example: example

Example

{
          "type": "mcp",
          "server_label": "example",
          "server_url": "example",
          "connector_id": "connector_dropbox",
          "authorization": "example",
          "server_description": "example",
          "headers": {},
          "allowed_tools": [
            "example"
          ],
          "require_approval": "always",
          "defer_loading": true
        }

ContainerMemoryLimit

Type: string

Enum: 1g, 4g, 16g, 64g

ContainerNetworkPolicyDisabledParam

Name

Description

type

Type: string

Disable outbound network access. Always disabled.

Default: disabled

Const: disabled

Example

{
          "type": "disabled"
        }

ContainerNetworkPolicyDomainSecretParam

Name	Description
domain	Type: string The domain associated with the secret. Min length: `1` Example: `example`
name	Type: string The name of the secret to inject for the domain. Min length: `1` Example: `example`
value	Type: string The secret value to inject for the domain. Min length: `1` Max length: `10485760` Example: `example`

Example

{
          "domain": "example",
          "name": "example",
          "value": "example"
        }

ContainerNetworkPolicyAllowlistParam

Name	Description
allowed_domains	Type: string[] A list of allowed domains when type is `allowlist`. Min items: `1` Example `[ "example" ]`
type	Type: string Allow outbound network access only to specified domains. Always `allowlist`. Default: `allowlist` Const: `allowlist`
domain_secrets	Type: ContainerNetworkPolicyDomainSecretParam[] Optional domain-scoped secrets for allowlisted domains. Min items: `1` Example `[ { "domain": "example", "name": "example", "value": "example" } ]`

Example

{
          "type": "allowlist",
          "allowed_domains": [
            "example"
          ],
          "domain_secrets": [
            {
              "domain": "example",
              "name": "example",
              "value": "example"
            }
          ]
        }

AutoCodeInterpreterToolParam

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

Name	Description
type	Type: string Always `auto`. Default: `auto` Const: `auto`
file_ids	Type: string[] An optional list of uploaded files to make available to your code. Max items: `50` Example `[ "example" ]`
memory_limit	Any of 2 types Type: ContainerMemoryLimit The memory limit for the code interpreter container. Enum: `1g`, `4g`, `16g`, `64g` Type: null Example: `null` Example: `1g`
network_policy	One of 2 types Type: ContainerNetworkPolicyDisabledParam Example `{ "type": "disabled" }` Type: ContainerNetworkPolicyAllowlistParam Example `{ "type": "allowlist", "allowed_domains": [ "example" ], "domain_secrets": [ { "domain": "example", "name": "example", "value": "example" } ] }` Network access policy for the container. Example `{ "type": "disabled" }`

Example

{
          "type": "auto",
          "file_ids": [
            "example"
          ],
          "memory_limit": "1g",
          "network_policy": {
            "type": "disabled"
          }
        }

CodeInterpreterTool

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

Name

Description

container

One of 2 types

Type: string

The container ID.

Example: example

CodeInterpreterToolAuto

Type: AutoCodeInterpreterToolParam

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

Example

{
          "type": "auto",
          "file_ids": [
            "example"
          ],
          "memory_limit": "1g",
          "network_policy": {
            "type": "disabled"
          }
        }

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.

Example: example

type

Type: string

The type of the code interpreter tool. Always code_interpreter.

Const: code_interpreter

Example: example

Example

{
          "type": "code_interpreter",
          "container": "example"
        }

InputFidelity

Control how much effort the model will exert to match the style and features, especially facial features, of input images.
Supports high and low. Defaults to low.

Type: string

Enum: high, low

ImageGenActionEnum

Type: string

Enum: generate, edit, auto

ImageGenTool

A tool that generates images using the image generation models.

Name

Description

type

Type: string

The type of the image generation tool. Always image_generation.

Const: image_generation

Example: example

action

Type: ImageGenActionEnum

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

Enum: generate, edit, auto

background

Type: string

CURRENTLY NOT SUPPORTED

Background type for the generated image. One of transparent, opaque, or auto. Default: auto.

Default: auto

Enum: transparent, opaque, auto

input_fidelity

Any of 2 types

Type: InputFidelity

Control how much effort the model will exert to match the style and features, especially facial features, of input images.
Supports high and low. Defaults to low.

Enum: high, low
Type: null

Example: null

Example: high

input_image_mask

Type: object

file_id

Type: string

File ID for the mask image.

Example: example

image_url

Type: string

Base64-encoded mask image.

Example: example

CURRENTLY NOT SUPPORTED

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

Example

{
          "image_url": "example",
          "file_id": "example"
        }

model

Any of 2 types

Type: string

Example: example
Type: string

The image generation model to use.

Default: aliceai-image-art-3.0

Const: aliceai-image-art-3.0

Example: example

moderation

Type: string

CURRENTLY NOT SUPPORTED

Moderation level for the generated image.

Default: auto

Enum: auto, low

output_compression

Type: integer

Compression level for the output image.

Default: 100

Min value: 0

Max value: 100

output_format

Type: string

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

Default: png

Enum: png, webp, jpeg

partial_images

Type: integer

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

Default: 0

Min value: 0

Max value: 3

quality

Type: string

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

Default: auto

Enum: low, medium, high, auto

size

Type: string

The size of the generated image. One of 1024x1024, 1024x1536, 1536x1024, or auto.

Default: auto

Enum: 1024x1024, 1024x1536, 1536x1024, auto

Example

{
          "type": "image_generation",
          "model": "example",
          "quality": "auto",
          "size": "auto",
          "output_format": "png",
          "output_compression": 100,
          "moderation": "auto",
          "background": "auto",
          "input_fidelity": "high",
          "input_image_mask": {
            "image_url": "example",
            "file_id": "example"
          },
          "partial_images": 0,
          "action": "generate"
        }

Tool

A tool that can be used to generate a response.

One of 6 types

Function

Type: FunctionTool

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

Example

{
          "type": "function",
          "name": "example",
          "description": "example",
          "parameters": {},
          "strict": true,
          "defer_loading": true
        }

File search

Type: FileSearchTool

A tool that searches for relevant content from uploaded files. Learn more about the File Search tool.

Example

{
          "type": "file_search",
          "vector_store_ids": [
            "example"
          ],
          "max_num_results": 0,
          "ranking_options": {
            "ranker": "auto",
            "score_threshold": 0.5,
            "hybrid_search": {
              "embedding_weight": 0.5,
              "text_weight": 0.5
            }
          },
          "filters": {
            "type": "eq",
            "key": "example",
            "value": "example"
          }
        }

Web search

Type: WebSearchTool

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

Example

{
          "type": "web_search",
          "filters": {
            "allowed_domains": []
          },
          "user_location": {
            "type": "approximate",
            "country": "example",
            "region": "example",
            "city": "example",
            "timezone": "example"
          },
          "search_context_size": "medium"
        }

MCP tool

Type: MCPTool

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

Example

{
          "type": "mcp",
          "server_label": "example",
          "server_url": "example",
          "connector_id": "connector_dropbox",
          "authorization": "example",
          "server_description": "example",
          "headers": {},
          "allowed_tools": [
            "example"
          ],
          "require_approval": "always",
          "defer_loading": true
        }

Code interpreter

Type: CodeInterpreterTool

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

Example

{
          "type": "code_interpreter",
          "container": "example"
        }

Image generation tool

Type: ImageGenTool

A tool that generates images using the image generation models.

Example

{
          "type": "image_generation",
          "model": "example",
          "quality": "auto",
          "size": "auto",
          "output_format": "png",
          "output_compression": 100,
          "moderation": "auto",
          "background": "auto",
          "input_fidelity": "high",
          "input_image_mask": {
            "image_url": "example",
            "file_id": "example"
          },
          "partial_images": 0,
          "action": "generate"
        }

Example

{
          "type": "function",
          "name": "example",
          "description": "example",
          "parameters": {},
          "strict": true,
          "defer_loading": true
        }

ResponseFormatText

Default response format. Used to generate text responses.

Name

Description

type

Type: string

The type of response format being defined. Always text.

Const: text

Example: example

Example

{
          "type": "text"
        }

ResponseFormatJsonSchemaSchema

The schema for the response format, described as a JSON Schema object.

Learn how to build JSON schemas here.

Name

Description

Example

{}

TextResponseFormatJsonSchema

JSON Schema response format. Used to generate structured JSON responses.

Learn more about Structured Outputs.

Name	Description
name	Type: string The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. Example: `example`
schema	Type: ResponseFormatJsonSchemaSchema The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here. Example `{}`
type	Type: string The type of response format being defined. Always `json_schema`. Const: `json_schema` Example: `example`
description	Type: string A description of what the response format is for, used by the model to determine how to respond in the format. Example: `example`
strict	Any of 2 types Type: boolean 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. Default: `false` Type: null Example: `null` Example: `true`

Example

{
          "type": "json_schema",
          "description": "example",
          "name": "example",
          "schema": {},
          "strict": false
        }

ResponseFormatJsonObject

JSON object response format. An older method of generating JSON responses.
Using json_schema is recommended for models that support it. Note that the model will not generate JSON without a system or user message instructing it to do so.

Name

Description

type

Type: string

The type of response format being defined. Always json_object.

Const: json_object

Example: example

Example

{
          "type": "json_object"
        }

TextResponseFormatConfiguration

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.

The default format is { "type": "text" } with no additional options.

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.

One of 3 types

Text

Type: ResponseFormatText

Default response format. Used to generate text responses.
Example
```
{
          "type": "text"
        }
        
```

JSON schema

Type: TextResponseFormatJsonSchema

JSON Schema response format. Used to generate structured JSON responses.

Learn more about Structured Outputs.

Example

{
          "type": "json_schema",
          "description": "example",
          "name": "example",
          "schema": {},
          "strict": false
        }

JSON object

Type: ResponseFormatJsonObject

JSON object response format. An older method of generating JSON responses.
Using json_schema is recommended for models that support it. Note that the model will not generate JSON without a system or user message instructing it to do so.
Example
```
{
          "type": "json_object"
        }
        
```

Example

{
          "type": "text"
        }

Verbosity

Any of 2 types

Type: string

Constrains the verbosity of the model's response. Lower values will result in more concise responses, while higher values will result in more verbose responses.
Currently supported values are low, medium, and high.

Default: medium

Enum: low, medium, high
Type: null

Example: null

Example: low

ResponseTextParam

Configuration options for a text response from the model. Can be plain text or structured JSON data.

Name

Description

format

Type: TextResponseFormatConfiguration

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.

The default format is { "type": "text" } with no additional options.

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.

Example

{
          "type": "text"
        }

verbosity

Type: Verbosity

Example: low

Example

{
          "format": {
            "type": "text"
          },
          "verbosity": "medium"
        }

ReasoningEffort

Any of 2 types

Type: string

Constrains effort on reasoning for reasoning models.
Currently supported values are none, minimal, low, medium, high, and xhigh. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.

Default: medium

Enum: none, minimal, low, medium, high, xhigh
Type: null

Example: null

Example: none

Reasoning

CURRENTLY NOT SUPPORTED

Name	Description
effort	Type: ReasoningEffort Example: `none`
generate_summary	Any of 2 types Deprecated Type: string Deprecated: use `summary` instead. Enum: `auto`, `concise`, `detailed` Type: null Example: `null` Example: `auto`
summary	Any of 2 types Type: string A summary of the reasoning performed by the model. This can be useful for debugging and understanding the model's reasoning process. One of `auto`, `concise`, or `detailed`. Enum: `auto`, `concise`, `detailed` Type: null Example: `null` Example: `auto`

Example

{
          "effort": "medium",
          "summary": "auto",
          "generate_summary": "auto"
        }

TruncationEnum

Type: string

Enum: auto, disabled

ConversationParam-2

The conversation that this response belongs to.

Name

Description

Type: string

The unique ID of the conversation.

Example: example

Example

{
          "id": "example"
        }

ConversationParam

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.

One of 2 types

Conversation ID

Type: string

The unique ID of the conversation.

Example: example
Conversation object

Type: ConversationParam-2

The conversation that this response belongs to.
Example
```
{
          "id": "example"
        }
        
```

Default: null

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.

Type: string

Enum: none, auto, required

ToolChoiceAllowed

Constrains the tools available to the model to a pre-defined set.

Name

Description

mode

Type: string

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.

Enum: auto, required

tools

Type: object[]

A list of tool definitions that the model should be allowed to call.

For the Responses API, the list of tool definitions might look like:

[
          { "type": "function", "name": "get_weather" },
          { "type": "mcp", "server_label": "deepwiki" },
          { "type": "image_generation" }
        ]

Example

[
          {}
        ]

type

Type: string

Allowed tool configuration type. Always allowed_tools.

Const: allowed_tools

Example: example

Example

{
          "type": "allowed_tools",
          "mode": "auto",
          "tools": [
            {}
          ]
        }

ToolChoiceTypes

Indicates that the model should use a built-in tool to generate a response.
Learn more about built-in tools.

Name

Description

type

Type: string

The type of hosted tool the model should to use. Learn more about built-in tools.
Allowed values are: - file_search - web_search - code_interpreter - image_generation

Enum: file_search, web_search, code_interpreter, image_generation

Example

{
          "type": "file_search"
        }

ToolChoiceFunction

Use this option to force the model to call a specific function.

Name

Description

name

Type: string

The name of the function to call.

Example: example

type

Type: string

For function calling, the type is always function.

Const: function

Example: example

Example

{
          "type": "function",
          "name": "example"
        }

ToolChoiceMCP

Use this option to force the model to call a specific tool on a remote MCP server.

Name	Description
server_label	Type: string The label of the MCP server to use. Example: `example`
type	Type: string For MCP tools, the type is always `mcp`. Const: `mcp` Example: `example`
name	Any of 2 types Type: string The name of the tool to call on the server. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "mcp",
          "server_label": "example",
          "name": "example"
        }

ToolChoiceCustom

Use this option to force the model to call a specific custom tool.

Name

Description

name

Type: string

The name of the custom tool to call.

Example: example

type

Type: string

For custom tool calling, the type is always custom.

Const: custom

Example: example

Example

{
          "type": "custom",
          "name": "example"
        }

SpecificApplyPatchParam

Forces the model to call the apply_patch tool when executing a tool call.

Name

Description

type

Type: string

The tool to call. Always apply_patch.

Default: apply_patch

Const: apply_patch

Example

{
          "type": "apply_patch"
        }

SpecificFunctionShellParam

Forces the model to call the shell tool when a tool call is required.

Name

Description

type

Type: string

The tool to call. Always shell.

Default: shell

Const: shell

Example

{
          "type": "shell"
        }

ToolChoiceParam

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.

One of 8 types

Tool choice mode

Type: 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.
Enum: none, auto, required

Allowed tools

Type: ToolChoiceAllowed

Constrains the tools available to the model to a pre-defined set.

Example

{
          "type": "allowed_tools",
          "mode": "auto",
          "tools": [
            {}
          ]
        }

Hosted tool

Type: ToolChoiceTypes

Indicates that the model should use a built-in tool to generate a response.
Learn more about built-in tools.
Example
```
{
          "type": "file_search"
        }
        
```

Function tool

Type: ToolChoiceFunction

Use this option to force the model to call a specific function.

Example

{
          "type": "function",
          "name": "example"
        }

MCP tool

Type: ToolChoiceMCP

Use this option to force the model to call a specific tool on a remote MCP server.

Example

{
          "type": "mcp",
          "server_label": "example",
          "name": "example"
        }

Custom tool

Type: ToolChoiceCustom

Use this option to force the model to call a specific custom tool.

Example

{
          "type": "custom",
          "name": "example"
        }

Specific apply patch tool choice

Type: SpecificApplyPatchParam

Forces the model to call the apply_patch tool when executing a tool call.
Example
```
{
          "type": "apply_patch"
        }
        
```
Specific shell tool choice

Type: SpecificFunctionShellParam

Forces the model to call the shell tool when a tool call is required.
Example
```
{
          "type": "shell"
        }
        
```

Example: none

{
          "object": "response.input_tokens",
          "input_tokens": 123
        }

Name

Description

input_tokens

Type: integer

object

Type: string

Default: response.input_tokens

Const: response.input_tokens

InputImageContentParamAutoParam

An image input to the model.

Name	Description
type	Type: string The type of the input item. Always `input_image`. Default: `input_image` Const: `input_image`
detail	Any of 2 types Type: DetailEnum The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. Enum: `low`, `high`, `auto`, `original` Type: null Example: `null` Example: `low`
file_id	Any of 2 types Type: string The ID of the file to be sent to the model. Example: `fvtdeb81rt1d978c5hvb` Type: null Example: `null` Example: `fvtdeb81rt1d978c5hvb`
image_url	Any of 2 types Type: string The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. Max length: `20971520` Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "input_image",
          "image_url": "example",
          "file_id": "fvtdeb81rt1d978c5hvb",
          "detail": "low"
        }

InputFileContentParam

A file input to the model.

Name	Description
type	Type: string The type of the input item. Always `input_file`. Default: `input_file` Const: `input_file`
detail	Type: FileDetailEnum 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`. Enum: `low`, `high`
file_data	Any of 2 types Type: string The base64-encoded data of the file to be sent to the model. Max length: `73400320` Example: `example` Type: null Example: `null` Example: `example`
file_id	Any of 2 types Type: string The ID of the file to be sent to the model. Example: `fvtdeb81rt1d978c5hvb` Type: null Example: `null` Example: `fvtdeb81rt1d978c5hvb`
file_url	Any of 2 types Type: string The URL of the file to be sent to the model. Example: `example` Type: null Example: `null` Example: `example`
filename	Any of 2 types Type: string The name of the file to be sent to the model. Example: `example` Type: null Example: `null` Example: `example`

Example

{
          "type": "input_file",
          "file_id": "fvtdeb81rt1d978c5hvb",
          "filename": "example",
          "file_data": "example",
          "file_url": "example",
          "detail": "low"
        }

FunctionCallOutputItemParam

The output of a function tool call.

Name	Description
call_id	Type: string The unique ID of the function tool call generated by the model. Min length: `1` Max length: `64` Example: `example`
output	One of 2 types Type: string A JSON string of the output of the function tool call. Max length: `10485760` Example: `example` Type: array One of 3 types Input text Type: InputTextContentParam A text input to the model. Example `{ "type": "input_text", "text": "example" }` Input image Type: InputImageContentParamAutoParam An image input to the model. Example `{ "type": "input_image", "image_url": "example", "file_id": "fvtdeb81rt1d978c5hvb", "detail": "low" }` Input file Type: InputFileContentParam A file input to the model. Example `{ "type": "input_file", "file_id": "fvtdeb81rt1d978c5hvb", "filename": "example", "file_data": "example", "file_url": "example", "detail": "low" }` An array of content outputs (text, image, file) for the function tool call. Example `[ { "type": "input_text", "text": "example" } ]` Text, image, or file output of the function tool call. Example: `example`
type	Type: string The type of the function tool call output. Always `function_call_output`. Default: `function_call_output` Const: `function_call_output`
id	Any of 2 types Type: string The unique ID of the function tool call output. Populated when this item is returned via API. Example: `example` Type: null Example: `null` Example: `example`
status	Any of 2 types Type: FunctionCallItemStatus The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. Enum: `in_progress`, `completed`, `incomplete` Type: null Example: `null` Example: `in_progress`

Example

{
          "id": "example",
          "call_id": "example",
          "type": "function_call_output",
          "output": "example",
          "status": "in_progress"
        }

Item

Content item used to generate a response.

Type: object

One of 14 types

Input message

Type: InputMessage

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

Output message

Type: OutputMessage

An output message from the model.

Example

{
          "id": "example",
          "type": "message",
          "role": "assistant",
          "content": [
            {
              "type": "output_text",
              "text": "example",
              "annotations": [
                null
              ],
              "logprobs": [
                {}
              ]
            }
          ],
          "phase": "commentary",
          "status": "in_progress"
        }

File search tool call

Type: FileSearchToolCall

The results of a File Search tool call.

Example

{
          "id": "example",
          "type": "file_search_call",
          "status": "in_progress",
          "queries": [
            "example"
          ],
          "results": [
            {
              "file_id": "example",
              "text": "example",
              "filename": "example",
              "attributes": null,
              "score": 0.5
            }
          ]
        }

Web search tool call

Type: WebSearchToolCall

The results of a web search tool call.

Example

{
          "id": "example",
          "type": "web_search_call",
          "status": "in_progress",
          "action": {
            "type": "search",
            "query": "example",
            "queries": [
              "example"
            ],
            "sources": [
              {
                "type": "url",
                "url": "example"
              }
            ]
          }
        }

Function tool call

Type: FunctionToolCall

A tool call to run a function.

Example

{
          "id": "example",
          "type": "function_call",
          "call_id": "example",
          "namespace": "example",
          "name": "example",
          "arguments": "example",
          "status": "in_progress"
        }

Function tool call output

Type: FunctionCallOutputItemParam

The output of a function tool call.

Example

{
          "id": "example",
          "call_id": "example",
          "type": "function_call_output",
          "output": "example",
          "status": "in_progress"
        }

Reasoning

Type: ReasoningItem

Example

{
          "type": "reasoning",
          "id": "example",
          "encrypted_content": "example",
          "summary": [
            {
              "type": "summary_text",
              "text": "example"
            }
          ],
          "content": [
            {
              "type": "reasoning_text",
              "text": "example"
            }
          ],
          "status": "in_progress"
        }

Compaction item

Type: CompactionSummaryItemParam

A compaction item generated by the v1/responses/compact API.

Example

{
          "id": "example",
          "type": "compaction",
          "encrypted_content": "example"
        }

Image generation call

Type: ImageGenToolCall

An image generation request made by the model.

Example

{
          "type": "image_generation_call",
          "id": "example",
          "status": "in_progress",
          "result": "example"
        }

Code interpreter tool call

Type: CodeInterpreterToolCall

A tool call to run code.

Example

{
          "type": "code_interpreter_call",
          "id": "example",
          "status": "in_progress",
          "container_id": "example",
          "code": "example",
          "outputs": [
            {
              "type": "logs",
              "logs": "example"
            }
          ]
        }

MCP list tools

Type: MCPListTools

A list of tools available on an MCP server.

Example

{
          "type": "mcp_list_tools",
          "id": "example",
          "server_label": "example",
          "tools": [
            {
              "name": "example",
              "description": "example",
              "input_schema": {},
              "annotations": {}
            }
          ],
          "error": "example"
        }

MCP approval request

Type: MCPApprovalRequest

A request for human approval of a tool invocation.

Example

{
          "type": "mcp_approval_request",
          "id": "example",
          "server_label": "example",
          "name": "example",
          "arguments": "example"
        }

MCP approval response

Type: MCPApprovalResponse

A response to an MCP approval request.

Example

{
          "type": "mcp_approval_response",
          "id": "example",
          "approval_request_id": "example",
          "approve": true,
          "reason": "example"
        }

MCP tool call

Type: MCPToolCall

An invocation of a tool on an MCP server.

Example

{
          "type": "mcp_call",
          "id": "example",
          "server_label": "example",
          "name": "example",
          "arguments": "example",
          "output": "example",
          "error": "example",
          "status": "in_progress",
          "approval_request_id": "example"
        }

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

InputItem

One of 2 types

Item

Type: Item

An item representing part of the context for the response to be generated by the model. Can contain text, images, and audio inputs, as well as previous assistant responses and tool call outputs.

Content item used to generate a response.

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {
              "type": "input_text",
              "text": "example"
            }
          ]
        }

Item reference

Type: ItemReferenceParam

An internal identifier for an item to reference.

Example

{
          "type": "item_reference",
          "id": "example"
        }

Example

{
          "type": "message",
          "role": "user",
          "status": "in_progress",
          "content": [
            {}
          ]
        }

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RequestRequest

BodyBody

InputTextContentInputTextContent

ImageDetailImageDetail

InputImageContentInputImageContent

FileInputDetailFileInputDetail

InputFileContentInputFileContent

InputContentInputContent

InputMessageContentListInputMessageContentList

InputMessageInputMessage

FileCitationBodyFileCitationBody

UrlCitationBodyUrlCitationBody

ContainerFileCitationBodyContainerFileCitationBody

FilePathFilePath

AnnotationAnnotation

TopLogProbTopLogProb

LogProbLogProb

OutputTextContentOutputTextContent

RefusalContentRefusalContent

OutputMessageContentOutputMessageContent

MessagePhaseMessagePhase

OutputMessageOutputMessage

VectorStoreFileAttributesVectorStoreFileAttributes

FileSearchToolCallFileSearchToolCall

WebSearchActionSearchWebSearchActionSearch

WebSearchActionOpenPageWebSearchActionOpenPage

WebSearchActionFindWebSearchActionFind

WebSearchToolCallWebSearchToolCall

FunctionToolCallFunctionToolCall

InputTextContentParamInputTextContentParam

InputImageContentParamAutoParamInputImageContentParamAutoParam

InputFileContentParamInputFileContentParam

FunctionCallItemStatusFunctionCallItemStatus

FunctionCallOutputItemParamFunctionCallOutputItemParam

SummaryTextContentSummaryTextContent

ReasoningTextContentReasoningTextContent

ReasoningItemReasoningItem

CompactionSummaryItemParamCompactionSummaryItemParam

ImageGenToolCallImageGenToolCall

CodeInterpreterOutputLogsCodeInterpreterOutputLogs

CodeInterpreterOutputImageCodeInterpreterOutputImage

CodeInterpreterToolCallCodeInterpreterToolCall

MCPListToolsToolMCPListToolsTool

MCPListToolsMCPListTools

MCPApprovalRequestMCPApprovalRequest

MCPApprovalResponseMCPApprovalResponse

MCPToolCallStatusMCPToolCallStatus

MCPToolCallMCPToolCall

ItemItem

ItemReferenceParamItemReferenceParam

InputItemInputItem

FunctionToolFunctionTool

RankerVersionTypeRankerVersionType

HybridSearchOptionsHybridSearchOptions

RankingOptionsRankingOptions

ComparisonFilterComparisonFilter

CompoundFilterCompoundFilter

FiltersFilters

FileSearchToolFileSearchTool

WebSearchApproximateLocationWebSearchApproximateLocation

WebSearchToolWebSearchTool

MCPToolFilterMCPToolFilter

MCPToolMCPTool

ContainerMemoryLimitContainerMemoryLimit

ContainerNetworkPolicyDisabledParamContainerNetworkPolicyDisabledParam

ContainerNetworkPolicyDomainSecretParamContainerNetworkPolicyDomainSecretParam

ContainerNetworkPolicyAllowlistParamContainerNetworkPolicyAllowlistParam

AutoCodeInterpreterToolParamAutoCodeInterpreterToolParam

CodeInterpreterToolCodeInterpreterTool

InputFidelityInputFidelity

ImageGenActionEnumImageGenActionEnum

ImageGenToolImageGenTool

ToolTool

ResponseFormatTextResponseFormatText

ResponseFormatJsonSchemaSchemaResponseFormatJsonSchemaSchema

TextResponseFormatJsonSchemaTextResponseFormatJsonSchema

ResponseFormatJsonObjectResponseFormatJsonObject

TextResponseFormatConfigurationTextResponseFormatConfiguration

VerbosityVerbosity

Request

Body

InputTextContent

ImageDetail

InputImageContent

FileInputDetail

InputFileContent

InputContent

InputMessageContentList

InputMessage

FileCitationBody

UrlCitationBody

ContainerFileCitationBody

FilePath

Annotation

TopLogProb

LogProb

OutputTextContent

RefusalContent

OutputMessageContent

MessagePhase

OutputMessage

VectorStoreFileAttributes

FileSearchToolCall

WebSearchActionSearch

WebSearchActionOpenPage

WebSearchActionFind

WebSearchToolCall

FunctionToolCall

InputTextContentParam

InputImageContentParamAutoParam

InputFileContentParam

FunctionCallItemStatus

FunctionCallOutputItemParam

SummaryTextContent

ReasoningTextContent

ReasoningItem

CompactionSummaryItemParam

ImageGenToolCall

CodeInterpreterOutputLogs

CodeInterpreterOutputImage

CodeInterpreterToolCall

MCPListToolsTool

MCPListTools

MCPApprovalRequest

MCPApprovalResponse

MCPToolCallStatus

MCPToolCall

Item

ItemReferenceParam

InputItem

FunctionTool

RankerVersionType

HybridSearchOptions

RankingOptions

ComparisonFilter

CompoundFilter

Filters

FileSearchTool

WebSearchApproximateLocation

WebSearchTool

MCPToolFilter

MCPTool

ContainerMemoryLimit

ContainerNetworkPolicyDisabledParam

ContainerNetworkPolicyDomainSecretParam

ContainerNetworkPolicyAllowlistParam

AutoCodeInterpreterToolParam

CodeInterpreterTool

InputFidelity

ImageGenActionEnum

ImageGenTool

Tool

ResponseFormatText

ResponseFormatJsonSchemaSchema

TextResponseFormatJsonSchema

ResponseFormatJsonObject

TextResponseFormatConfiguration

Verbosity

ResponseTextParam