## Get input token counts

**post** `/responses/input_tokens`

Returns input token counts of the request.

Returns an object with `object` set to `response.input_tokens` and an `input_tokens` count.

### Body Parameters

- `conversation: optional string or ResponseConversationParam`

  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.

  - `ConversationID = string`

    The unique ID of the conversation.

  - `ResponseConversationParam object { id }`

    The conversation that this response belongs to.

    - `id: string`

      The unique ID of the conversation.

- `input: optional string or array of EasyInputMessage or object { content, role, status, type }  or ResponseOutputMessage or 25 more`

  Text, image, or file inputs to the model, used to generate a response

  - `string`

    A text input to the model, equivalent to a text input with the `user` role.

  - `array of EasyInputMessage or object { content, role, status, type }  or ResponseOutputMessage or 25 more`

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

    - `EasyInputMessage object { content, role, phase, type }`

      A message input to the model with a role indicating instruction following
      hierarchy. Instructions given with the `developer` or `system` role take
      precedence over instructions given with the `user` role. Messages with the
      `assistant` role are presumed to have been generated by the model in previous
      interactions.

      - `content: string or ResponseInputMessageContentList`

        Text, image, or audio input to the model, used to generate a response.
        Can also contain previous assistant responses.

        - `TextInput = string`

          A text input to the model.

        - `ResponseInputMessageContentList = array of ResponseInputContent`

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

          - `ResponseInputText object { text, type }`

            A text input to the model.

            - `text: string`

              The text input to the model.

            - `type: "input_text"`

              The type of the input item. Always `input_text`.

              - `"input_text"`

          - `ResponseInputImage object { detail, type, file_id, image_url }`

            An image input to the model. Learn about [image inputs](/docs/guides/vision).

            - `detail: "low" or "high" or "auto" or "original"`

              The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.

              - `"low"`

              - `"high"`

              - `"auto"`

              - `"original"`

            - `type: "input_image"`

              The type of the input item. Always `input_image`.

              - `"input_image"`

            - `file_id: optional string`

              The ID of the file to be sent to the model.

            - `image_url: optional string`

              The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.

          - `ResponseInputFile object { type, detail, file_data, 3 more }`

            A file input to the model.

            - `type: "input_file"`

              The type of the input item. Always `input_file`.

              - `"input_file"`

            - `detail: optional "low" or "high"`

              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`.

              - `"low"`

              - `"high"`

            - `file_data: optional string`

              The content of the file to be sent to the model.

            - `file_id: optional string`

              The ID of the file to be sent to the model.

            - `file_url: optional string`

              The URL of the file to be sent to the model.

            - `filename: optional string`

              The name of the file to be sent to the model.

      - `role: "user" or "assistant" or "system" or "developer"`

        The role of the message input. One of `user`, `assistant`, `system`, or
        `developer`.

        - `"user"`

        - `"assistant"`

        - `"system"`

        - `"developer"`

      - `phase: optional "commentary" or "final_answer"`

        Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`).
        For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend
        phase on all assistant messages — dropping it can degrade performance. Not used for user messages.

        - `"commentary"`

        - `"final_answer"`

      - `type: optional "message"`

        The type of the message input. Always `message`.

        - `"message"`

    - `Message object { content, role, status, type }`

      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.

      - `content: ResponseInputMessageContentList`

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

      - `role: "user" or "system" or "developer"`

        The role of the message input. One of `user`, `system`, or `developer`.

        - `"user"`

        - `"system"`

        - `"developer"`

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of item. One of `in_progress`, `completed`, or
        `incomplete`. Populated when items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

      - `type: optional "message"`

        The type of the message input. Always set to `message`.

        - `"message"`

    - `ResponseOutputMessage object { id, content, role, 3 more }`

      An output message from the model.

      - `id: string`

        The unique ID of the output message.

      - `content: array of ResponseOutputText or ResponseOutputRefusal`

        The content of the output message.

        - `ResponseOutputText object { annotations, logprobs, text, type }`

          A text output from the model.

          - `annotations: array of object { file_id, filename, index, type }  or object { end_index, start_index, title, 2 more }  or object { container_id, end_index, file_id, 3 more }  or object { file_id, index, type }`

            The annotations of the text output.

            - `FileCitation object { file_id, filename, index, type }`

              A citation to a file.

              - `file_id: string`

                The ID of the file.

              - `filename: string`

                The filename of the file cited.

              - `index: number`

                The index of the file in the list of files.

              - `type: "file_citation"`

                The type of the file citation. Always `file_citation`.

                - `"file_citation"`

            - `URLCitation object { end_index, start_index, title, 2 more }`

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

              - `end_index: number`

                The index of the last character of the URL citation in the message.

              - `start_index: number`

                The index of the first character of the URL citation in the message.

              - `title: string`

                The title of the web resource.

              - `type: "url_citation"`

                The type of the URL citation. Always `url_citation`.

                - `"url_citation"`

              - `url: string`

                The URL of the web resource.

            - `ContainerFileCitation object { container_id, end_index, file_id, 3 more }`

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

              - `container_id: string`

                The ID of the container file.

              - `end_index: number`

                The index of the last character of the container file citation in the message.

              - `file_id: string`

                The ID of the file.

              - `filename: string`

                The filename of the container file cited.

              - `start_index: number`

                The index of the first character of the container file citation in the message.

              - `type: "container_file_citation"`

                The type of the container file citation. Always `container_file_citation`.

                - `"container_file_citation"`

            - `FilePath object { file_id, index, type }`

              A path to a file.

              - `file_id: string`

                The ID of the file.

              - `index: number`

                The index of the file in the list of files.

              - `type: "file_path"`

                The type of the file path. Always `file_path`.

                - `"file_path"`

          - `logprobs: array of object { token, bytes, logprob, top_logprobs }`

            - `token: string`

            - `bytes: array of number`

            - `logprob: number`

            - `top_logprobs: array of object { token, bytes, logprob }`

              - `token: string`

              - `bytes: array of number`

              - `logprob: number`

          - `text: string`

            The text output from the model.

          - `type: "output_text"`

            The type of the output text. Always `output_text`.

            - `"output_text"`

        - `ResponseOutputRefusal object { refusal, type }`

          A refusal from the model.

          - `refusal: string`

            The refusal explanation from the model.

          - `type: "refusal"`

            The type of the refusal. Always `refusal`.

            - `"refusal"`

      - `role: "assistant"`

        The role of the output message. Always `assistant`.

        - `"assistant"`

      - `status: "in_progress" or "completed" or "incomplete"`

        The status of the message input. One of `in_progress`, `completed`, or
        `incomplete`. Populated when input items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

      - `type: "message"`

        The type of the output message. Always `message`.

        - `"message"`

      - `phase: optional "commentary" or "final_answer"`

        Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`).
        For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend
        phase on all assistant messages — dropping it can degrade performance. Not used for user messages.

        - `"commentary"`

        - `"final_answer"`

    - `FileSearchCall object { id, queries, status, 2 more }`

      The results of a file search tool call. See the
      [file search guide](/docs/guides/tools-file-search) for more information.

      - `id: string`

        The unique ID of the file search tool call.

      - `queries: array of string`

        The queries used to search for files.

      - `status: "in_progress" or "searching" or "completed" or 2 more`

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

        - `"in_progress"`

        - `"searching"`

        - `"completed"`

        - `"incomplete"`

        - `"failed"`

      - `type: "file_search_call"`

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

        - `"file_search_call"`

      - `results: optional array of object { attributes, file_id, filename, 2 more }`

        The results of the file search tool call.

        - `attributes: optional map[string or number or boolean]`

          Set of 16 key-value pairs that can be attached to an object. This can be
          useful for storing additional information about the object in a structured
          format, and querying for objects via API or the dashboard. Keys are strings
          with a maximum length of 64 characters. Values are strings with a maximum
          length of 512 characters, booleans, or numbers.

          - `string`

          - `number`

          - `boolean`

        - `file_id: optional string`

          The unique ID of the file.

        - `filename: optional string`

          The name of the file.

        - `score: optional number`

          The relevance score of the file - a value between 0 and 1.

        - `text: optional string`

          The text that was retrieved from the file.

    - `ComputerCall object { id, call_id, pending_safety_checks, 4 more }`

      A tool call to a computer use tool. See the
      [computer use guide](/docs/guides/tools-computer-use) for more information.

      - `id: string`

        The unique ID of the computer call.

      - `call_id: string`

        An identifier used when responding to the tool call with output.

      - `pending_safety_checks: array of object { id, code, message }`

        The pending safety checks for the computer call.

        - `id: string`

          The ID of the pending safety check.

        - `code: optional string`

          The type of the pending safety check.

        - `message: optional string`

          Details about the pending safety check.

      - `status: "in_progress" or "completed" or "incomplete"`

        The status of the item. One of `in_progress`, `completed`, or
        `incomplete`. Populated when items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

      - `type: "computer_call"`

        The type of the computer call. Always `computer_call`.

        - `"computer_call"`

      - `action: optional ComputerAction`

        A click action.

        - `Click object { button, type, x, 2 more }`

          A click action.

          - `button: "left" or "right" or "wheel" or 2 more`

            Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`.

            - `"left"`

            - `"right"`

            - `"wheel"`

            - `"back"`

            - `"forward"`

          - `type: "click"`

            Specifies the event type. For a click action, this property is always `click`.

            - `"click"`

          - `x: number`

            The x-coordinate where the click occurred.

          - `y: number`

            The y-coordinate where the click occurred.

          - `keys: optional array of string`

            The keys being held while clicking.

        - `DoubleClick object { keys, type, x, y }`

          A double click action.

          - `keys: array of string`

            The keys being held while double-clicking.

          - `type: "double_click"`

            Specifies the event type. For a double click action, this property is always set to `double_click`.

            - `"double_click"`

          - `x: number`

            The x-coordinate where the double click occurred.

          - `y: number`

            The y-coordinate where the double click occurred.

        - `Drag object { path, type, keys }`

          A drag action.

          - `path: array of object { x, y }`

            An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg

            ```
            [
              { x: 100, y: 200 },
              { x: 200, y: 300 }
            ]
            ```

            - `x: number`

              The x-coordinate.

            - `y: number`

              The y-coordinate.

          - `type: "drag"`

            Specifies the event type. For a drag action, this property is always set to `drag`.

            - `"drag"`

          - `keys: optional array of string`

            The keys being held while dragging the mouse.

        - `Keypress object { keys, type }`

          A collection of keypresses the model would like to perform.

          - `keys: array of string`

            The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.

          - `type: "keypress"`

            Specifies the event type. For a keypress action, this property is always set to `keypress`.

            - `"keypress"`

        - `Move object { type, x, y, keys }`

          A mouse move action.

          - `type: "move"`

            Specifies the event type. For a move action, this property is always set to `move`.

            - `"move"`

          - `x: number`

            The x-coordinate to move to.

          - `y: number`

            The y-coordinate to move to.

          - `keys: optional array of string`

            The keys being held while moving the mouse.

        - `Screenshot object { type }`

          A screenshot action.

          - `type: "screenshot"`

            Specifies the event type. For a screenshot action, this property is always set to `screenshot`.

            - `"screenshot"`

        - `Scroll object { scroll_x, scroll_y, type, 3 more }`

          A scroll action.

          - `scroll_x: number`

            The horizontal scroll distance.

          - `scroll_y: number`

            The vertical scroll distance.

          - `type: "scroll"`

            Specifies the event type. For a scroll action, this property is always set to `scroll`.

            - `"scroll"`

          - `x: number`

            The x-coordinate where the scroll occurred.

          - `y: number`

            The y-coordinate where the scroll occurred.

          - `keys: optional array of string`

            The keys being held while scrolling.

        - `Type object { text, type }`

          An action to type in text.

          - `text: string`

            The text to type.

          - `type: "type"`

            Specifies the event type. For a type action, this property is always set to `type`.

            - `"type"`

        - `Wait object { type }`

          A wait action.

          - `type: "wait"`

            Specifies the event type. For a wait action, this property is always set to `wait`.

            - `"wait"`

      - `actions: optional ComputerActionList`

        Flattened batched actions for `computer_use`. Each action includes an
        `type` discriminator and action-specific fields.

        - `Click object { button, type, x, 2 more }`

          A click action.

        - `DoubleClick object { keys, type, x, y }`

          A double click action.

        - `Drag object { path, type, keys }`

          A drag action.

        - `Keypress object { keys, type }`

          A collection of keypresses the model would like to perform.

        - `Move object { type, x, y, keys }`

          A mouse move action.

        - `Screenshot object { type }`

          A screenshot action.

        - `Scroll object { scroll_x, scroll_y, type, 3 more }`

          A scroll action.

        - `Type object { text, type }`

          An action to type in text.

        - `Wait object { type }`

          A wait action.

    - `ComputerCallOutput object { call_id, output, type, 3 more }`

      The output of a computer tool call.

      - `call_id: string`

        The ID of the computer tool call that produced the output.

      - `output: ResponseComputerToolCallOutputScreenshot`

        A computer screenshot image used with the computer use tool.

        - `type: "computer_screenshot"`

          Specifies the event type. For a computer screenshot, this property is
          always set to `computer_screenshot`.

          - `"computer_screenshot"`

        - `file_id: optional string`

          The identifier of an uploaded file that contains the screenshot.

        - `image_url: optional string`

          The URL of the screenshot image.

      - `type: "computer_call_output"`

        The type of the computer tool call output. Always `computer_call_output`.

        - `"computer_call_output"`

      - `id: optional string`

        The ID of the computer tool call output.

      - `acknowledged_safety_checks: optional array of object { id, code, message }`

        The safety checks reported by the API that have been acknowledged by the developer.

        - `id: string`

          The ID of the pending safety check.

        - `code: optional string`

          The type of the pending safety check.

        - `message: optional string`

          Details about the pending safety check.

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `WebSearchCall object { id, action, status, type }`

      The results of a web search tool call. See the
      [web search guide](/docs/guides/tools-web-search) for more information.

      - `id: string`

        The unique ID of the web search tool call.

      - `action: object { query, type, queries, sources }  or object { type, url }  or object { pattern, type, url }`

        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).

        - `Search object { query, type, queries, sources }`

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

          - `query: string`

            [DEPRECATED] The search query.

          - `type: "search"`

            The action type.

            - `"search"`

          - `queries: optional array of string`

            The search queries.

          - `sources: optional array of object { type, url }`

            The sources used in the search.

            - `type: "url"`

              The type of source. Always `url`.

              - `"url"`

            - `url: string`

              The URL of the source.

        - `OpenPage object { type, url }`

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

          - `type: "open_page"`

            The action type.

            - `"open_page"`

          - `url: optional string`

            The URL opened by the model.

        - `FindInPage object { pattern, type, url }`

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

          - `pattern: string`

            The pattern or text to search for within the page.

          - `type: "find_in_page"`

            The action type.

            - `"find_in_page"`

          - `url: string`

            The URL of the page searched for the pattern.

      - `status: "in_progress" or "searching" or "completed" or "failed"`

        The status of the web search tool call.

        - `"in_progress"`

        - `"searching"`

        - `"completed"`

        - `"failed"`

      - `type: "web_search_call"`

        The type of the web search tool call. Always `web_search_call`.

        - `"web_search_call"`

    - `FunctionCall object { arguments, call_id, name, 4 more }`

      A tool call to run a function. See the
      [function calling guide](/docs/guides/function-calling) for more information.

      - `arguments: string`

        A JSON string of the arguments to pass to the function.

      - `call_id: string`

        The unique ID of the function tool call generated by the model.

      - `name: string`

        The name of the function to run.

      - `type: "function_call"`

        The type of the function tool call. Always `function_call`.

        - `"function_call"`

      - `id: optional string`

        The unique ID of the function tool call.

      - `namespace: optional string`

        The namespace of the function to run.

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the item. One of `in_progress`, `completed`, or
        `incomplete`. Populated when items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `FunctionCallOutput object { call_id, output, type, 2 more }`

      The output of a function tool call.

      - `call_id: string`

        The unique ID of the function tool call generated by the model.

      - `output: string or array of ResponseInputTextContent or ResponseInputImageContent or ResponseInputFileContent`

        Text, image, or file output of the function tool call.

        - `string`

          A JSON string of the output of the function tool call.

        - `array of ResponseInputTextContent or ResponseInputImageContent or ResponseInputFileContent`

          An array of content outputs (text, image, file) for the function tool call.

          - `ResponseInputTextContent object { text, type }`

            A text input to the model.

            - `text: string`

              The text input to the model.

            - `type: "input_text"`

              The type of the input item. Always `input_text`.

              - `"input_text"`

          - `ResponseInputImageContent object { type, detail, file_id, image_url }`

            An image input to the model. Learn about [image inputs](/docs/guides/vision)

            - `type: "input_image"`

              The type of the input item. Always `input_image`.

              - `"input_image"`

            - `detail: optional "low" or "high" or "auto" or "original"`

              The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`.

              - `"low"`

              - `"high"`

              - `"auto"`

              - `"original"`

            - `file_id: optional string`

              The ID of the file to be sent to the model.

            - `image_url: optional string`

              The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.

          - `ResponseInputFileContent object { type, detail, file_data, 3 more }`

            A file input to the model.

            - `type: "input_file"`

              The type of the input item. Always `input_file`.

              - `"input_file"`

            - `detail: optional "low" or "high"`

              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`.

              - `"low"`

              - `"high"`

            - `file_data: optional string`

              The base64-encoded data of the file to be sent to the model.

            - `file_id: optional string`

              The ID of the file to be sent to the model.

            - `file_url: optional string`

              The URL of the file to be sent to the model.

            - `filename: optional string`

              The name of the file to be sent to the model.

      - `type: "function_call_output"`

        The type of the function tool call output. Always `function_call_output`.

        - `"function_call_output"`

      - `id: optional string`

        The unique ID of the function tool call output. Populated when this item is returned via API.

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `ToolSearchCall object { arguments, type, id, 3 more }`

      - `arguments: unknown`

        The arguments supplied to the tool search call.

      - `type: "tool_search_call"`

        The item type. Always `tool_search_call`.

        - `"tool_search_call"`

      - `id: optional string`

        The unique ID of this tool search call.

      - `call_id: optional string`

        The unique ID of the tool search call generated by the model.

      - `execution: optional "server" or "client"`

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

        - `"server"`

        - `"client"`

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the tool search call.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `ToolSearchOutput object { tools, type, id, 3 more }`

      - `tools: array of object { name, parameters, strict, 3 more }  or object { type, vector_store_ids, filters, 2 more }  or object { type }  or 12 more`

        The loaded tool definitions returned by the tool search output.

        - `Function object { name, parameters, strict, 3 more }`

          Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling).

          - `name: string`

            The name of the function to call.

          - `parameters: map[unknown]`

            A JSON schema object describing the parameters of the function.

          - `strict: boolean`

            Whether to enforce strict parameter validation. Default `true`.

          - `type: "function"`

            The type of the function tool. Always `function`.

            - `"function"`

          - `defer_loading: optional boolean`

            Whether this function is deferred and loaded via tool search.

          - `description: optional string`

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

        - `FileSearch object { type, vector_store_ids, filters, 2 more }`

          A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search).

          - `type: "file_search"`

            The type of the file search tool. Always `file_search`.

            - `"file_search"`

          - `vector_store_ids: array of string`

            The IDs of the vector stores to search.

          - `filters: optional ComparisonFilter or CompoundFilter`

            A filter to apply.

            - `ComparisonFilter object { key, type, value }`

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

              - `key: string`

                The key to compare against the value.

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

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

                - `eq`: equals
                - `ne`: not equal
                - `gt`: greater than
                - `gte`: greater than or equal
                - `lt`: less than
                - `lte`: less than or equal
                - `in`: in
                - `nin`: not in

                - `"eq"`

                - `"ne"`

                - `"gt"`

                - `"gte"`

                - `"lt"`

                - `"lte"`

                - `"in"`

                - `"nin"`

              - `value: string or number or boolean or array of string or number`

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

                - `string`

                - `number`

                - `boolean`

                - `array of string or number`

                  - `string`

                  - `number`

            - `CompoundFilter object { filters, type }`

              Combine multiple filters using `and` or `or`.

              - `filters: array of ComparisonFilter or unknown`

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

                - `ComparisonFilter object { key, type, value }`

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

                - `unknown`

              - `type: "and" or "or"`

                Type of operation: `and` or `or`.

                - `"and"`

                - `"or"`

          - `max_num_results: optional number`

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

          - `ranking_options: optional object { hybrid_search, ranker, score_threshold }`

            Ranking options for search.

            - `hybrid_search: optional object { embedding_weight, text_weight }`

              Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled.

              - `embedding_weight: number`

                The weight of the embedding in the reciprocal ranking fusion.

              - `text_weight: number`

                The weight of the text in the reciprocal ranking fusion.

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

              The ranker to use for the file search.

              - `"auto"`

              - `"default-2024-11-15"`

            - `score_threshold: optional number`

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

        - `Computer object { type }`

          A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).

          - `type: "computer"`

            The type of the computer tool. Always `computer`.

            - `"computer"`

        - `ComputerUsePreview object { display_height, display_width, environment, type }`

          A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).

          - `display_height: number`

            The height of the computer display.

          - `display_width: number`

            The width of the computer display.

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

            The type of computer environment to control.

            - `"windows"`

            - `"mac"`

            - `"linux"`

            - `"ubuntu"`

            - `"browser"`

          - `type: "computer_use_preview"`

            The type of the computer use tool. Always `computer_use_preview`.

            - `"computer_use_preview"`

        - `WebSearch object { type, filters, search_context_size, user_location }`

          Search the Internet for sources related to the prompt. Learn more about the
          [web search tool](/docs/guides/tools-web-search).

          - `type: "web_search" or "web_search_2025_08_26"`

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

            - `"web_search"`

            - `"web_search_2025_08_26"`

          - `filters: optional object { allowed_domains }`

            Filters for the search.

            - `allowed_domains: optional array of string`

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

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

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

            High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default.

            - `"low"`

            - `"medium"`

            - `"high"`

          - `user_location: optional object { city, country, region, 2 more }`

            The approximate location of the user.

            - `city: optional string`

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

            - `country: optional string`

              The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`.

            - `region: optional string`

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

            - `timezone: optional string`

              The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`.

            - `type: optional "approximate"`

              The type of location approximation. Always `approximate`.

              - `"approximate"`

        - `Mcp object { server_label, type, allowed_tools, 7 more }`

          Give the model access to additional tools via remote Model Context Protocol
          (MCP) servers. [Learn more about MCP](/docs/guides/tools-remote-mcp).

          - `server_label: string`

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

          - `type: "mcp"`

            The type of the MCP tool. Always `mcp`.

            - `"mcp"`

          - `allowed_tools: optional array of string or object { read_only, tool_names }`

            List of allowed tool names or a filter object.

            - `McpAllowedTools = array of string`

              A string array of allowed tool names

            - `McpToolFilter object { read_only, tool_names }`

              A filter object to specify which tools are allowed.

              - `read_only: optional boolean`

                Indicates whether or not a tool modifies data or is read-only. If an
                MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint),
                it will match this filter.

              - `tool_names: optional array of string`

                List of allowed tool names.

          - `authorization: optional string`

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

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

            Identifier for service connectors, like those available in ChatGPT. One of
            `server_url` or `connector_id` must be provided. Learn more about service
            connectors [here](/docs/guides/tools-remote-mcp#connectors).

            Currently supported `connector_id` values are:

            - Dropbox: `connector_dropbox`
            - Gmail: `connector_gmail`
            - Google Calendar: `connector_googlecalendar`
            - Google Drive: `connector_googledrive`
            - Microsoft Teams: `connector_microsoftteams`
            - Outlook Calendar: `connector_outlookcalendar`
            - Outlook Email: `connector_outlookemail`
            - SharePoint: `connector_sharepoint`

            - `"connector_dropbox"`

            - `"connector_gmail"`

            - `"connector_googlecalendar"`

            - `"connector_googledrive"`

            - `"connector_microsoftteams"`

            - `"connector_outlookcalendar"`

            - `"connector_outlookemail"`

            - `"connector_sharepoint"`

          - `defer_loading: optional boolean`

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

          - `headers: optional map[string]`

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

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

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

            - `McpToolApprovalFilter object { always, never }`

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

              - `always: optional object { read_only, tool_names }`

                A filter object to specify which tools are allowed.

                - `read_only: optional boolean`

                  Indicates whether or not a tool modifies data or is read-only. If an
                  MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint),
                  it will match this filter.

                - `tool_names: optional array of string`

                  List of allowed tool names.

              - `never: optional object { read_only, tool_names }`

                A filter object to specify which tools are allowed.

                - `read_only: optional boolean`

                  Indicates whether or not a tool modifies data or is read-only. If an
                  MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint),
                  it will match this filter.

                - `tool_names: optional array of string`

                  List of allowed tool names.

            - `McpToolApprovalSetting = "always" or "never"`

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

              - `"always"`

              - `"never"`

          - `server_description: optional string`

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

          - `server_url: optional string`

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

        - `CodeInterpreter object { container, type }`

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

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

            The code interpreter container. Can be a container ID or an object that
            specifies uploaded file IDs to make available to your code, along with an
            optional `memory_limit` setting.

            - `string`

              The container ID.

            - `CodeInterpreterToolAuto object { type, file_ids, memory_limit, network_policy }`

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

              - `type: "auto"`

                Always `auto`.

                - `"auto"`

              - `file_ids: optional array of string`

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

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

                The memory limit for the code interpreter container.

                - `"1g"`

                - `"4g"`

                - `"16g"`

                - `"64g"`

              - `network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist`

                Network access policy for the container.

                - `ContainerNetworkPolicyDisabled object { type }`

                  - `type: "disabled"`

                    Disable outbound network access. Always `disabled`.

                    - `"disabled"`

                - `ContainerNetworkPolicyAllowlist object { allowed_domains, type, domain_secrets }`

                  - `allowed_domains: array of string`

                    A list of allowed domains when type is `allowlist`.

                  - `type: "allowlist"`

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

                    - `"allowlist"`

                  - `domain_secrets: optional array of ContainerNetworkPolicyDomainSecret`

                    Optional domain-scoped secrets for allowlisted domains.

                    - `domain: string`

                      The domain associated with the secret.

                    - `name: string`

                      The name of the secret to inject for the domain.

                    - `value: string`

                      The secret value to inject for the domain.

          - `type: "code_interpreter"`

            The type of the code interpreter tool. Always `code_interpreter`.

            - `"code_interpreter"`

        - `ImageGeneration object { type, action, background, 9 more }`

          A tool that generates images using the GPT image models.

          - `type: "image_generation"`

            The type of the image generation tool. Always `image_generation`.

            - `"image_generation"`

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

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

            - `"generate"`

            - `"edit"`

            - `"auto"`

          - `background: optional "transparent" or "opaque" or "auto"`

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

            - `"transparent"`

            - `"opaque"`

            - `"auto"`

          - `input_fidelity: optional "high" or "low"`

            Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.

            - `"high"`

            - `"low"`

          - `input_image_mask: optional object { file_id, image_url }`

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

            - `file_id: optional string`

              File ID for the mask image.

            - `image_url: optional string`

              Base64-encoded mask image.

          - `model: optional string or "gpt-image-1" or "gpt-image-1-mini" or "gpt-image-1.5"`

            The image generation model to use. Default: `gpt-image-1`.

            - `string`

            - `"gpt-image-1" or "gpt-image-1-mini" or "gpt-image-1.5"`

              The image generation model to use. Default: `gpt-image-1`.

              - `"gpt-image-1"`

              - `"gpt-image-1-mini"`

              - `"gpt-image-1.5"`

          - `moderation: optional "auto" or "low"`

            Moderation level for the generated image. Default: `auto`.

            - `"auto"`

            - `"low"`

          - `output_compression: optional number`

            Compression level for the output image. Default: 100.

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

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

            - `"png"`

            - `"webp"`

            - `"jpeg"`

          - `partial_images: optional number`

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

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

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

            - `"low"`

            - `"medium"`

            - `"high"`

            - `"auto"`

          - `size: optional "1024x1024" or "1024x1536" or "1536x1024" or "auto"`

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

            - `"1024x1024"`

            - `"1024x1536"`

            - `"1536x1024"`

            - `"auto"`

        - `LocalShell object { type }`

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

          - `type: "local_shell"`

            The type of the local shell tool. Always `local_shell`.

            - `"local_shell"`

        - `Shell object { type, environment }`

          A tool that allows the model to execute shell commands.

          - `type: "shell"`

            The type of the shell tool. Always `shell`.

            - `"shell"`

          - `environment: optional ContainerAuto or LocalEnvironment or ContainerReference`

            - `ContainerAuto object { type, file_ids, memory_limit, 2 more }`

              - `type: "container_auto"`

                Automatically creates a container for this request

                - `"container_auto"`

              - `file_ids: optional array of string`

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

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

                The memory limit for the container.

                - `"1g"`

                - `"4g"`

                - `"16g"`

                - `"64g"`

              - `network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist`

                Network access policy for the container.

                - `ContainerNetworkPolicyDisabled object { type }`

                - `ContainerNetworkPolicyAllowlist object { allowed_domains, type, domain_secrets }`

              - `skills: optional array of SkillReference or InlineSkill`

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

                - `SkillReference object { skill_id, type, version }`

                  - `skill_id: string`

                    The ID of the referenced skill.

                  - `type: "skill_reference"`

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

                    - `"skill_reference"`

                  - `version: optional string`

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

                - `InlineSkill object { description, name, source, type }`

                  - `description: string`

                    The description of the skill.

                  - `name: string`

                    The name of the skill.

                  - `source: InlineSkillSource`

                    Inline skill payload

                    - `data: string`

                      Base64-encoded skill zip bundle.

                    - `media_type: "application/zip"`

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

                      - `"application/zip"`

                    - `type: "base64"`

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

                      - `"base64"`

                  - `type: "inline"`

                    Defines an inline skill for this request.

                    - `"inline"`

            - `LocalEnvironment object { type, skills }`

              - `type: "local"`

                Use a local computer environment.

                - `"local"`

              - `skills: optional array of LocalSkill`

                An optional list of skills.

                - `description: string`

                  The description of the skill.

                - `name: string`

                  The name of the skill.

                - `path: string`

                  The path to the directory containing the skill.

            - `ContainerReference object { container_id, type }`

              - `container_id: string`

                The ID of the referenced container.

              - `type: "container_reference"`

                References a container created with the /v1/containers endpoint

                - `"container_reference"`

        - `Custom object { name, type, defer_loading, 2 more }`

          A custom tool that processes input using a specified format. Learn more about   [custom tools](/docs/guides/function-calling#custom-tools)

          - `name: string`

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

          - `type: "custom"`

            The type of the custom tool. Always `custom`.

            - `"custom"`

          - `defer_loading: optional boolean`

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

          - `description: optional string`

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

          - `format: optional CustomToolInputFormat`

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

            - `Text object { type }`

              Unconstrained free-form text.

              - `type: "text"`

                Unconstrained text format. Always `text`.

                - `"text"`

            - `Grammar object { definition, syntax, type }`

              A grammar defined by the user.

              - `definition: string`

                The grammar definition.

              - `syntax: "lark" or "regex"`

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

                - `"lark"`

                - `"regex"`

              - `type: "grammar"`

                Grammar format. Always `grammar`.

                - `"grammar"`

        - `Namespace object { description, name, tools, type }`

          Groups function/custom tools under a shared namespace.

          - `description: string`

            A description of the namespace shown to the model.

          - `name: string`

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

          - `tools: array of object { name, type, defer_loading, 3 more }  or object { name, type, defer_loading, 2 more }`

            The function/custom tools available inside this namespace.

            - `Function object { name, type, defer_loading, 3 more }`

              - `name: string`

              - `type: "function"`

                - `"function"`

              - `defer_loading: optional boolean`

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

              - `description: optional string`

              - `parameters: optional unknown`

              - `strict: optional boolean`

            - `Custom object { name, type, defer_loading, 2 more }`

              A custom tool that processes input using a specified format. Learn more about   [custom tools](/docs/guides/function-calling#custom-tools)

              - `name: string`

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

              - `type: "custom"`

                The type of the custom tool. Always `custom`.

                - `"custom"`

              - `defer_loading: optional boolean`

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

              - `description: optional string`

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

              - `format: optional CustomToolInputFormat`

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

          - `type: "namespace"`

            The type of the tool. Always `namespace`.

            - `"namespace"`

        - `ToolSearch object { type, description, execution, parameters }`

          Hosted or BYOT tool search configuration for deferred tools.

          - `type: "tool_search"`

            The type of the tool. Always `tool_search`.

            - `"tool_search"`

          - `description: optional string`

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

          - `execution: optional "server" or "client"`

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

            - `"server"`

            - `"client"`

          - `parameters: optional unknown`

            Parameter schema for a client-executed tool search tool.

        - `WebSearchPreview object { type, search_content_types, search_context_size, user_location }`

          This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search).

          - `type: "web_search_preview" or "web_search_preview_2025_03_11"`

            The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`.

            - `"web_search_preview"`

            - `"web_search_preview_2025_03_11"`

          - `search_content_types: optional array of "text" or "image"`

            - `"text"`

            - `"image"`

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

            High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default.

            - `"low"`

            - `"medium"`

            - `"high"`

          - `user_location: optional object { type, city, country, 2 more }`

            The user's location.

            - `type: "approximate"`

              The type of location approximation. Always `approximate`.

              - `"approximate"`

            - `city: optional string`

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

            - `country: optional string`

              The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`.

            - `region: optional string`

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

            - `timezone: optional string`

              The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`.

        - `ApplyPatch object { type }`

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

          - `type: "apply_patch"`

            The type of the tool. Always `apply_patch`.

            - `"apply_patch"`

      - `type: "tool_search_output"`

        The item type. Always `tool_search_output`.

        - `"tool_search_output"`

      - `id: optional string`

        The unique ID of this tool search output.

      - `call_id: optional string`

        The unique ID of the tool search call generated by the model.

      - `execution: optional "server" or "client"`

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

        - `"server"`

        - `"client"`

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the tool search output.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `Reasoning object { id, summary, type, 3 more }`

      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](/docs/guides/conversation-state).

      - `id: string`

        The unique identifier of the reasoning content.

      - `summary: array of SummaryTextContent`

        Reasoning summary content.

        - `text: string`

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

        - `type: "summary_text"`

          The type of the object. Always `summary_text`.

          - `"summary_text"`

      - `type: "reasoning"`

        The type of the object. Always `reasoning`.

        - `"reasoning"`

      - `content: optional array of object { text, type }`

        Reasoning text content.

        - `text: string`

          The reasoning text from the model.

        - `type: "reasoning_text"`

          The type of the reasoning text. Always `reasoning_text`.

          - `"reasoning_text"`

      - `encrypted_content: optional string`

        The encrypted content of the reasoning item - populated when a response is
        generated with `reasoning.encrypted_content` in the `include` parameter.

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the item. One of `in_progress`, `completed`, or
        `incomplete`. Populated when items are returned via API.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `Compaction object { encrypted_content, type, id }`

      A compaction item generated by the [`v1/responses/compact` API](/docs/api-reference/responses/compact).

      - `encrypted_content: string`

        The encrypted content of the compaction summary.

      - `type: "compaction"`

        The type of the item. Always `compaction`.

        - `"compaction"`

      - `id: optional string`

        The ID of the compaction item.

    - `ImageGenerationCall object { id, result, status, type }`

      An image generation request made by the model.

      - `id: string`

        The unique ID of the image generation call.

      - `result: string`

        The generated image encoded in base64.

      - `status: "in_progress" or "completed" or "generating" or "failed"`

        The status of the image generation call.

        - `"in_progress"`

        - `"completed"`

        - `"generating"`

        - `"failed"`

      - `type: "image_generation_call"`

        The type of the image generation call. Always `image_generation_call`.

        - `"image_generation_call"`

    - `CodeInterpreterCall object { id, code, container_id, 3 more }`

      A tool call to run code.

      - `id: string`

        The unique ID of the code interpreter tool call.

      - `code: string`

        The code to run, or null if not available.

      - `container_id: string`

        The ID of the container used to run the code.

      - `outputs: array of object { logs, type }  or object { type, url }`

        The outputs generated by the code interpreter, such as logs or images.
        Can be null if no outputs are available.

        - `Logs object { logs, type }`

          The logs output from the code interpreter.

          - `logs: string`

            The logs output from the code interpreter.

          - `type: "logs"`

            The type of the output. Always `logs`.

            - `"logs"`

        - `Image object { type, url }`

          The image output from the code interpreter.

          - `type: "image"`

            The type of the output. Always `image`.

            - `"image"`

          - `url: string`

            The URL of the image output from the code interpreter.

      - `status: "in_progress" or "completed" or "incomplete" or 2 more`

        The status of the code interpreter tool call. Valid values are `in_progress`, `completed`, `incomplete`, `interpreting`, and `failed`.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

        - `"interpreting"`

        - `"failed"`

      - `type: "code_interpreter_call"`

        The type of the code interpreter tool call. Always `code_interpreter_call`.

        - `"code_interpreter_call"`

    - `LocalShellCall object { id, action, call_id, 2 more }`

      A tool call to run a command on the local shell.

      - `id: string`

        The unique ID of the local shell call.

      - `action: object { command, env, type, 3 more }`

        Execute a shell command on the server.

        - `command: array of string`

          The command to run.

        - `env: map[string]`

          Environment variables to set for the command.

        - `type: "exec"`

          The type of the local shell action. Always `exec`.

          - `"exec"`

        - `timeout_ms: optional number`

          Optional timeout in milliseconds for the command.

        - `user: optional string`

          Optional user to run the command as.

        - `working_directory: optional string`

          Optional working directory to run the command in.

      - `call_id: string`

        The unique ID of the local shell tool call generated by the model.

      - `status: "in_progress" or "completed" or "incomplete"`

        The status of the local shell call.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

      - `type: "local_shell_call"`

        The type of the local shell call. Always `local_shell_call`.

        - `"local_shell_call"`

    - `LocalShellCallOutput object { id, output, type, status }`

      The output of a local shell tool call.

      - `id: string`

        The unique ID of the local shell tool call generated by the model.

      - `output: string`

        A JSON string of the output of the local shell tool call.

      - `type: "local_shell_call_output"`

        The type of the local shell tool call output. Always `local_shell_call_output`.

        - `"local_shell_call_output"`

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the item. One of `in_progress`, `completed`, or `incomplete`.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `ShellCall object { action, call_id, type, 3 more }`

      A tool representing a request to execute one or more shell commands.

      - `action: object { commands, max_output_length, timeout_ms }`

        The shell commands and limits that describe how to run the tool call.

        - `commands: array of string`

          Ordered shell commands for the execution environment to run.

        - `max_output_length: optional number`

          Maximum number of UTF-8 characters to capture from combined stdout and stderr output.

        - `timeout_ms: optional number`

          Maximum wall-clock time in milliseconds to allow the shell commands to run.

      - `call_id: string`

        The unique ID of the shell tool call generated by the model.

      - `type: "shell_call"`

        The type of the item. Always `shell_call`.

        - `"shell_call"`

      - `id: optional string`

        The unique ID of the shell tool call. Populated when this item is returned via API.

      - `environment: optional LocalEnvironment or ContainerReference`

        The environment to execute the shell commands in.

        - `LocalEnvironment object { type, skills }`

        - `ContainerReference object { container_id, type }`

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the shell call. One of `in_progress`, `completed`, or `incomplete`.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `ShellCallOutput object { call_id, output, type, 3 more }`

      The streamed output items emitted by a shell tool call.

      - `call_id: string`

        The unique ID of the shell tool call generated by the model.

      - `output: array of ResponseFunctionShellCallOutputContent`

        Captured chunks of stdout and stderr output, along with their associated outcomes.

        - `outcome: object { type }  or object { exit_code, type }`

          The exit or timeout outcome associated with this shell call.

          - `Timeout object { type }`

            Indicates that the shell call exceeded its configured time limit.

            - `type: "timeout"`

              The outcome type. Always `timeout`.

              - `"timeout"`

          - `Exit object { exit_code, type }`

            Indicates that the shell commands finished and returned an exit code.

            - `exit_code: number`

              The exit code returned by the shell process.

            - `type: "exit"`

              The outcome type. Always `exit`.

              - `"exit"`

        - `stderr: string`

          Captured stderr output for the shell call.

        - `stdout: string`

          Captured stdout output for the shell call.

      - `type: "shell_call_output"`

        The type of the item. Always `shell_call_output`.

        - `"shell_call_output"`

      - `id: optional string`

        The unique ID of the shell tool call output. Populated when this item is returned via API.

      - `max_output_length: optional number`

        The maximum number of UTF-8 characters captured for this shell call's combined output.

      - `status: optional "in_progress" or "completed" or "incomplete"`

        The status of the shell call output.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

    - `ApplyPatchCall object { call_id, operation, status, 2 more }`

      A tool call representing a request to create, delete, or update files using diff patches.

      - `call_id: string`

        The unique ID of the apply patch tool call generated by the model.

      - `operation: object { diff, path, type }  or object { path, type }  or object { diff, path, type }`

        The specific create, delete, or update instruction for the apply_patch tool call.

        - `CreateFile object { diff, path, type }`

          Instruction for creating a new file via the apply_patch tool.

          - `diff: string`

            Unified diff content to apply when creating the file.

          - `path: string`

            Path of the file to create relative to the workspace root.

          - `type: "create_file"`

            The operation type. Always `create_file`.

            - `"create_file"`

        - `DeleteFile object { path, type }`

          Instruction for deleting an existing file via the apply_patch tool.

          - `path: string`

            Path of the file to delete relative to the workspace root.

          - `type: "delete_file"`

            The operation type. Always `delete_file`.

            - `"delete_file"`

        - `UpdateFile object { diff, path, type }`

          Instruction for updating an existing file via the apply_patch tool.

          - `diff: string`

            Unified diff content to apply to the existing file.

          - `path: string`

            Path of the file to update relative to the workspace root.

          - `type: "update_file"`

            The operation type. Always `update_file`.

            - `"update_file"`

      - `status: "in_progress" or "completed"`

        The status of the apply patch tool call. One of `in_progress` or `completed`.

        - `"in_progress"`

        - `"completed"`

      - `type: "apply_patch_call"`

        The type of the item. Always `apply_patch_call`.

        - `"apply_patch_call"`

      - `id: optional string`

        The unique ID of the apply patch tool call. Populated when this item is returned via API.

    - `ApplyPatchCallOutput object { call_id, status, type, 2 more }`

      The streamed output emitted by an apply patch tool call.

      - `call_id: string`

        The unique ID of the apply patch tool call generated by the model.

      - `status: "completed" or "failed"`

        The status of the apply patch tool call output. One of `completed` or `failed`.

        - `"completed"`

        - `"failed"`

      - `type: "apply_patch_call_output"`

        The type of the item. Always `apply_patch_call_output`.

        - `"apply_patch_call_output"`

      - `id: optional string`

        The unique ID of the apply patch tool call output. Populated when this item is returned via API.

      - `output: optional string`

        Optional human-readable log text from the apply patch tool (e.g., patch results or errors).

    - `McpListTools object { id, server_label, tools, 2 more }`

      A list of tools available on an MCP server.

      - `id: string`

        The unique ID of the list.

      - `server_label: string`

        The label of the MCP server.

      - `tools: array of object { input_schema, name, annotations, description }`

        The tools available on the server.

        - `input_schema: unknown`

          The JSON schema describing the tool's input.

        - `name: string`

          The name of the tool.

        - `annotations: optional unknown`

          Additional annotations about the tool.

        - `description: optional string`

          The description of the tool.

      - `type: "mcp_list_tools"`

        The type of the item. Always `mcp_list_tools`.

        - `"mcp_list_tools"`

      - `error: optional string`

        Error message if the server could not list tools.

    - `McpApprovalRequest object { id, arguments, name, 2 more }`

      A request for human approval of a tool invocation.

      - `id: string`

        The unique ID of the approval request.

      - `arguments: string`

        A JSON string of arguments for the tool.

      - `name: string`

        The name of the tool to run.

      - `server_label: string`

        The label of the MCP server making the request.

      - `type: "mcp_approval_request"`

        The type of the item. Always `mcp_approval_request`.

        - `"mcp_approval_request"`

    - `McpApprovalResponse object { approval_request_id, approve, type, 2 more }`

      A response to an MCP approval request.

      - `approval_request_id: string`

        The ID of the approval request being answered.

      - `approve: boolean`

        Whether the request was approved.

      - `type: "mcp_approval_response"`

        The type of the item. Always `mcp_approval_response`.

        - `"mcp_approval_response"`

      - `id: optional string`

        The unique ID of the approval response

      - `reason: optional string`

        Optional reason for the decision.

    - `McpCall object { id, arguments, name, 6 more }`

      An invocation of a tool on an MCP server.

      - `id: string`

        The unique ID of the tool call.

      - `arguments: string`

        A JSON string of the arguments passed to the tool.

      - `name: string`

        The name of the tool that was run.

      - `server_label: string`

        The label of the MCP server running the tool.

      - `type: "mcp_call"`

        The type of the item. Always `mcp_call`.

        - `"mcp_call"`

      - `approval_request_id: optional 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.

      - `error: optional string`

        The error from the tool call, if any.

      - `output: optional string`

        The output from the tool call.

      - `status: optional "in_progress" or "completed" or "incomplete" or 2 more`

        The status of the tool call. One of `in_progress`, `completed`, `incomplete`, `calling`, or `failed`.

        - `"in_progress"`

        - `"completed"`

        - `"incomplete"`

        - `"calling"`

        - `"failed"`

    - `CustomToolCallOutput object { call_id, output, type, id }`

      The output of a custom tool call from your code, being sent back to the model.

      - `call_id: string`

        The call ID, used to map this custom tool call output to a custom tool call.

      - `output: string or array of ResponseInputText or ResponseInputImage or ResponseInputFile`

        The output from the custom tool call generated by your code.
        Can be a string or an list of output content.

        - `StringOutput = string`

          A string of the output of the custom tool call.

        - `OutputContentList = array of ResponseInputText or ResponseInputImage or ResponseInputFile`

          Text, image, or file output of the custom tool call.

          - `ResponseInputText object { text, type }`

            A text input to the model.

          - `ResponseInputImage object { detail, type, file_id, image_url }`

            An image input to the model. Learn about [image inputs](/docs/guides/vision).

          - `ResponseInputFile object { type, detail, file_data, 3 more }`

            A file input to the model.

      - `type: "custom_tool_call_output"`

        The type of the custom tool call output. Always `custom_tool_call_output`.

        - `"custom_tool_call_output"`

      - `id: optional string`

        The unique ID of the custom tool call output in the OpenAI platform.

    - `CustomToolCall object { call_id, input, name, 3 more }`

      A call to a custom tool created by the model.

      - `call_id: string`

        An identifier used to map this custom tool call to a tool call output.

      - `input: string`

        The input for the custom tool call generated by the model.

      - `name: string`

        The name of the custom tool being called.

      - `type: "custom_tool_call"`

        The type of the custom tool call. Always `custom_tool_call`.

        - `"custom_tool_call"`

      - `id: optional string`

        The unique ID of the custom tool call in the OpenAI platform.

      - `namespace: optional string`

        The namespace of the custom tool being called.

    - `ItemReference object { id, type }`

      An internal identifier for an item to reference.

      - `id: string`

        The ID of the item to reference.

      - `type: optional "item_reference"`

        The type of item to reference. Always `item_reference`.

        - `"item_reference"`

- `instructions: optional 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.

- `model: optional string`

  Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the [model guide](/docs/models) to browse and compare available models.

- `parallel_tool_calls: optional boolean`

  Whether to allow the model to run tool calls in parallel.

- `previous_response_id: optional string`

  The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about [conversation state](/docs/guides/conversation-state). Cannot be used in conjunction with `conversation`.

- `reasoning: optional Reasoning`

  **gpt-5 and o-series models only** Configuration options for [reasoning models](https://platform.openai.com/docs/guides/reasoning).

  - `effort: optional ReasoningEffort`

    Constrains effort on reasoning for
    [reasoning models](https://platform.openai.com/docs/guides/reasoning).
    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.

    - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1.
    - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`.
    - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
    - `xhigh` is supported for all models after `gpt-5.1-codex-max`.

    - `"none"`

    - `"minimal"`

    - `"low"`

    - `"medium"`

    - `"high"`

    - `"xhigh"`

  - `generate_summary: optional "auto" or "concise" or "detailed"`

    **Deprecated:** use `summary` instead.

    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`.

    - `"auto"`

    - `"concise"`

    - `"detailed"`

  - `summary: optional "auto" or "concise" or "detailed"`

    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`.

    `concise` is supported for `computer-use-preview` models and all reasoning models after `gpt-5`.

    - `"auto"`

    - `"concise"`

    - `"detailed"`

- `text: optional object { format, verbosity }`

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

  - [Text inputs and outputs](/docs/guides/text)
  - [Structured Outputs](/docs/guides/structured-outputs)

  - `format: optional ResponseFormatTextConfig`

    An object specifying the format that the model must output.

    Configuring `{ "type": "json_schema" }` enables Structured Outputs,
    which ensures the model will match your supplied JSON schema. Learn more in the
    [Structured Outputs guide](/docs/guides/structured-outputs).

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

    **Not recommended for gpt-4o and newer models:**

    Setting to `{ "type": "json_object" }` enables the older JSON mode, which
    ensures the message the model generates is valid JSON. Using `json_schema`
    is preferred for models that support it.

    - `ResponseFormatText object { type }`

      Default response format. Used to generate text responses.

      - `type: "text"`

        The type of response format being defined. Always `text`.

        - `"text"`

    - `ResponseFormatTextJSONSchemaConfig object { name, schema, type, 2 more }`

      JSON Schema response format. Used to generate structured JSON responses.
      Learn more about [Structured Outputs](/docs/guides/structured-outputs).

      - `name: 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.

      - `schema: map[unknown]`

        The schema for the response format, described as a JSON Schema object.
        Learn how to build JSON schemas [here](https://json-schema.org/).

      - `type: "json_schema"`

        The type of response format being defined. Always `json_schema`.

        - `"json_schema"`

      - `description: optional string`

        A description of what the response format is for, used by the model to
        determine how to respond in the format.

      - `strict: optional 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
        guide](/docs/guides/structured-outputs).

    - `ResponseFormatJSONObject object { type }`

      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.

      - `type: "json_object"`

        The type of response format being defined. Always `json_object`.

        - `"json_object"`

  - `verbosity: optional "low" or "medium" or "high"`

    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`.

    - `"low"`

    - `"medium"`

    - `"high"`

- `tool_choice: optional ToolChoiceOptions or ToolChoiceAllowed or ToolChoiceTypes or 5 more`

  Controls which tool the model should use, if any.

  - `ToolChoiceOptions = "none" or "auto" or "required"`

    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.

    - `"none"`

    - `"auto"`

    - `"required"`

  - `ToolChoiceAllowed object { mode, tools, type }`

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

    - `mode: "auto" or "required"`

      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.

      - `"auto"`

      - `"required"`

    - `tools: array of map[unknown]`

      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:

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

    - `type: "allowed_tools"`

      Allowed tool configuration type. Always `allowed_tools`.

      - `"allowed_tools"`

  - `ToolChoiceTypes object { type }`

    Indicates that the model should use a built-in tool to generate a response.
    [Learn more about built-in tools](/docs/guides/tools).

    - `type: "file_search" or "web_search_preview" or "computer" or 5 more`

      The type of hosted tool the model should to use. Learn more about
      [built-in tools](/docs/guides/tools).

      Allowed values are:

      - `file_search`
      - `web_search_preview`
      - `computer`
      - `computer_use_preview`
      - `computer_use`
      - `code_interpreter`
      - `image_generation`

      - `"file_search"`

      - `"web_search_preview"`

      - `"computer"`

      - `"computer_use_preview"`

      - `"computer_use"`

      - `"web_search_preview_2025_03_11"`

      - `"image_generation"`

      - `"code_interpreter"`

  - `ToolChoiceFunction object { name, type }`

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

    - `name: string`

      The name of the function to call.

    - `type: "function"`

      For function calling, the type is always `function`.

      - `"function"`

  - `ToolChoiceMcp object { server_label, type, name }`

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

    - `server_label: string`

      The label of the MCP server to use.

    - `type: "mcp"`

      For MCP tools, the type is always `mcp`.

      - `"mcp"`

    - `name: optional string`

      The name of the tool to call on the server.

  - `ToolChoiceCustom object { name, type }`

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

    - `name: string`

      The name of the custom tool to call.

    - `type: "custom"`

      For custom tool calling, the type is always `custom`.

      - `"custom"`

  - `ToolChoiceApplyPatch object { type }`

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

    - `type: "apply_patch"`

      The tool to call. Always `apply_patch`.

      - `"apply_patch"`

  - `ToolChoiceShell object { type }`

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

    - `type: "shell"`

      The tool to call. Always `shell`.

      - `"shell"`

- `tools: optional array of object { name, parameters, strict, 3 more }  or object { type, vector_store_ids, filters, 2 more }  or object { type }  or 12 more`

  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.

  - `Function object { name, parameters, strict, 3 more }`

    Defines a function in your own code the model can choose to call. Learn more about [function calling](https://platform.openai.com/docs/guides/function-calling).

    - `name: string`

      The name of the function to call.

    - `parameters: map[unknown]`

      A JSON schema object describing the parameters of the function.

    - `strict: boolean`

      Whether to enforce strict parameter validation. Default `true`.

    - `type: "function"`

      The type of the function tool. Always `function`.

      - `"function"`

    - `defer_loading: optional boolean`

      Whether this function is deferred and loaded via tool search.

    - `description: optional string`

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

  - `FileSearch object { type, vector_store_ids, filters, 2 more }`

    A tool that searches for relevant content from uploaded files. Learn more about the [file search tool](https://platform.openai.com/docs/guides/tools-file-search).

    - `type: "file_search"`

      The type of the file search tool. Always `file_search`.

      - `"file_search"`

    - `vector_store_ids: array of string`

      The IDs of the vector stores to search.

    - `filters: optional ComparisonFilter or CompoundFilter`

      A filter to apply.

      - `ComparisonFilter object { key, type, value }`

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

      - `CompoundFilter object { filters, type }`

        Combine multiple filters using `and` or `or`.

    - `max_num_results: optional number`

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

    - `ranking_options: optional object { hybrid_search, ranker, score_threshold }`

      Ranking options for search.

      - `hybrid_search: optional object { embedding_weight, text_weight }`

        Weights that control how reciprocal rank fusion balances semantic embedding matches versus sparse keyword matches when hybrid search is enabled.

        - `embedding_weight: number`

          The weight of the embedding in the reciprocal ranking fusion.

        - `text_weight: number`

          The weight of the text in the reciprocal ranking fusion.

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

        The ranker to use for the file search.

        - `"auto"`

        - `"default-2024-11-15"`

      - `score_threshold: optional number`

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

  - `Computer object { type }`

    A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).

    - `type: "computer"`

      The type of the computer tool. Always `computer`.

      - `"computer"`

  - `ComputerUsePreview object { display_height, display_width, environment, type }`

    A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).

    - `display_height: number`

      The height of the computer display.

    - `display_width: number`

      The width of the computer display.

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

      The type of computer environment to control.

      - `"windows"`

      - `"mac"`

      - `"linux"`

      - `"ubuntu"`

      - `"browser"`

    - `type: "computer_use_preview"`

      The type of the computer use tool. Always `computer_use_preview`.

      - `"computer_use_preview"`

  - `WebSearch object { type, filters, search_context_size, user_location }`

    Search the Internet for sources related to the prompt. Learn more about the
    [web search tool](/docs/guides/tools-web-search).

    - `type: "web_search" or "web_search_2025_08_26"`

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

      - `"web_search"`

      - `"web_search_2025_08_26"`

    - `filters: optional object { allowed_domains }`

      Filters for the search.

      - `allowed_domains: optional array of string`

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

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

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

      High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default.

      - `"low"`

      - `"medium"`

      - `"high"`

    - `user_location: optional object { city, country, region, 2 more }`

      The approximate location of the user.

      - `city: optional string`

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

      - `country: optional string`

        The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`.

      - `region: optional string`

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

      - `timezone: optional string`

        The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`.

      - `type: optional "approximate"`

        The type of location approximation. Always `approximate`.

        - `"approximate"`

  - `Mcp object { server_label, type, allowed_tools, 7 more }`

    Give the model access to additional tools via remote Model Context Protocol
    (MCP) servers. [Learn more about MCP](/docs/guides/tools-remote-mcp).

    - `server_label: string`

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

    - `type: "mcp"`

      The type of the MCP tool. Always `mcp`.

      - `"mcp"`

    - `allowed_tools: optional array of string or object { read_only, tool_names }`

      List of allowed tool names or a filter object.

      - `McpAllowedTools = array of string`

        A string array of allowed tool names

      - `McpToolFilter object { read_only, tool_names }`

        A filter object to specify which tools are allowed.

        - `read_only: optional boolean`

          Indicates whether or not a tool modifies data or is read-only. If an
          MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint),
          it will match this filter.

        - `tool_names: optional array of string`

          List of allowed tool names.

    - `authorization: optional string`

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

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

      Identifier for service connectors, like those available in ChatGPT. One of
      `server_url` or `connector_id` must be provided. Learn more about service
      connectors [here](/docs/guides/tools-remote-mcp#connectors).

      Currently supported `connector_id` values are:

      - Dropbox: `connector_dropbox`
      - Gmail: `connector_gmail`
      - Google Calendar: `connector_googlecalendar`
      - Google Drive: `connector_googledrive`
      - Microsoft Teams: `connector_microsoftteams`
      - Outlook Calendar: `connector_outlookcalendar`
      - Outlook Email: `connector_outlookemail`
      - SharePoint: `connector_sharepoint`

      - `"connector_dropbox"`

      - `"connector_gmail"`

      - `"connector_googlecalendar"`

      - `"connector_googledrive"`

      - `"connector_microsoftteams"`

      - `"connector_outlookcalendar"`

      - `"connector_outlookemail"`

      - `"connector_sharepoint"`

    - `defer_loading: optional boolean`

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

    - `headers: optional map[string]`

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

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

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

      - `McpToolApprovalFilter object { always, never }`

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

        - `always: optional object { read_only, tool_names }`

          A filter object to specify which tools are allowed.

          - `read_only: optional boolean`

            Indicates whether or not a tool modifies data or is read-only. If an
            MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint),
            it will match this filter.

          - `tool_names: optional array of string`

            List of allowed tool names.

        - `never: optional object { read_only, tool_names }`

          A filter object to specify which tools are allowed.

          - `read_only: optional boolean`

            Indicates whether or not a tool modifies data or is read-only. If an
            MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint),
            it will match this filter.

          - `tool_names: optional array of string`

            List of allowed tool names.

      - `McpToolApprovalSetting = "always" or "never"`

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

        - `"always"`

        - `"never"`

    - `server_description: optional string`

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

    - `server_url: optional string`

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

  - `CodeInterpreter object { container, type }`

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

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

      The code interpreter container. Can be a container ID or an object that
      specifies uploaded file IDs to make available to your code, along with an
      optional `memory_limit` setting.

      - `string`

        The container ID.

      - `CodeInterpreterToolAuto object { type, file_ids, memory_limit, network_policy }`

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

        - `type: "auto"`

          Always `auto`.

          - `"auto"`

        - `file_ids: optional array of string`

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

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

          The memory limit for the code interpreter container.

          - `"1g"`

          - `"4g"`

          - `"16g"`

          - `"64g"`

        - `network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist`

          Network access policy for the container.

          - `ContainerNetworkPolicyDisabled object { type }`

          - `ContainerNetworkPolicyAllowlist object { allowed_domains, type, domain_secrets }`

    - `type: "code_interpreter"`

      The type of the code interpreter tool. Always `code_interpreter`.

      - `"code_interpreter"`

  - `ImageGeneration object { type, action, background, 9 more }`

    A tool that generates images using the GPT image models.

    - `type: "image_generation"`

      The type of the image generation tool. Always `image_generation`.

      - `"image_generation"`

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

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

      - `"generate"`

      - `"edit"`

      - `"auto"`

    - `background: optional "transparent" or "opaque" or "auto"`

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

      - `"transparent"`

      - `"opaque"`

      - `"auto"`

    - `input_fidelity: optional "high" or "low"`

      Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for `gpt-image-1` and `gpt-image-1.5` and later models, unsupported for `gpt-image-1-mini`. Supports `high` and `low`. Defaults to `low`.

      - `"high"`

      - `"low"`

    - `input_image_mask: optional object { file_id, image_url }`

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

      - `file_id: optional string`

        File ID for the mask image.

      - `image_url: optional string`

        Base64-encoded mask image.

    - `model: optional string or "gpt-image-1" or "gpt-image-1-mini" or "gpt-image-1.5"`

      The image generation model to use. Default: `gpt-image-1`.

      - `string`

      - `"gpt-image-1" or "gpt-image-1-mini" or "gpt-image-1.5"`

        The image generation model to use. Default: `gpt-image-1`.

        - `"gpt-image-1"`

        - `"gpt-image-1-mini"`

        - `"gpt-image-1.5"`

    - `moderation: optional "auto" or "low"`

      Moderation level for the generated image. Default: `auto`.

      - `"auto"`

      - `"low"`

    - `output_compression: optional number`

      Compression level for the output image. Default: 100.

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

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

      - `"png"`

      - `"webp"`

      - `"jpeg"`

    - `partial_images: optional number`

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

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

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

      - `"low"`

      - `"medium"`

      - `"high"`

      - `"auto"`

    - `size: optional "1024x1024" or "1024x1536" or "1536x1024" or "auto"`

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

      - `"1024x1024"`

      - `"1024x1536"`

      - `"1536x1024"`

      - `"auto"`

  - `LocalShell object { type }`

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

    - `type: "local_shell"`

      The type of the local shell tool. Always `local_shell`.

      - `"local_shell"`

  - `Shell object { type, environment }`

    A tool that allows the model to execute shell commands.

    - `type: "shell"`

      The type of the shell tool. Always `shell`.

      - `"shell"`

    - `environment: optional ContainerAuto or LocalEnvironment or ContainerReference`

      - `ContainerAuto object { type, file_ids, memory_limit, 2 more }`

      - `LocalEnvironment object { type, skills }`

      - `ContainerReference object { container_id, type }`

  - `Custom object { name, type, defer_loading, 2 more }`

    A custom tool that processes input using a specified format. Learn more about   [custom tools](/docs/guides/function-calling#custom-tools)

    - `name: string`

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

    - `type: "custom"`

      The type of the custom tool. Always `custom`.

      - `"custom"`

    - `defer_loading: optional boolean`

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

    - `description: optional string`

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

    - `format: optional CustomToolInputFormat`

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

  - `Namespace object { description, name, tools, type }`

    Groups function/custom tools under a shared namespace.

    - `description: string`

      A description of the namespace shown to the model.

    - `name: string`

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

    - `tools: array of object { name, type, defer_loading, 3 more }  or object { name, type, defer_loading, 2 more }`

      The function/custom tools available inside this namespace.

      - `Function object { name, type, defer_loading, 3 more }`

        - `name: string`

        - `type: "function"`

          - `"function"`

        - `defer_loading: optional boolean`

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

        - `description: optional string`

        - `parameters: optional unknown`

        - `strict: optional boolean`

      - `Custom object { name, type, defer_loading, 2 more }`

        A custom tool that processes input using a specified format. Learn more about   [custom tools](/docs/guides/function-calling#custom-tools)

        - `name: string`

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

        - `type: "custom"`

          The type of the custom tool. Always `custom`.

          - `"custom"`

        - `defer_loading: optional boolean`

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

        - `description: optional string`

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

        - `format: optional CustomToolInputFormat`

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

    - `type: "namespace"`

      The type of the tool. Always `namespace`.

      - `"namespace"`

  - `ToolSearch object { type, description, execution, parameters }`

    Hosted or BYOT tool search configuration for deferred tools.

    - `type: "tool_search"`

      The type of the tool. Always `tool_search`.

      - `"tool_search"`

    - `description: optional string`

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

    - `execution: optional "server" or "client"`

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

      - `"server"`

      - `"client"`

    - `parameters: optional unknown`

      Parameter schema for a client-executed tool search tool.

  - `WebSearchPreview object { type, search_content_types, search_context_size, user_location }`

    This tool searches the web for relevant results to use in a response. Learn more about the [web search tool](https://platform.openai.com/docs/guides/tools-web-search).

    - `type: "web_search_preview" or "web_search_preview_2025_03_11"`

      The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`.

      - `"web_search_preview"`

      - `"web_search_preview_2025_03_11"`

    - `search_content_types: optional array of "text" or "image"`

      - `"text"`

      - `"image"`

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

      High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default.

      - `"low"`

      - `"medium"`

      - `"high"`

    - `user_location: optional object { type, city, country, 2 more }`

      The user's location.

      - `type: "approximate"`

        The type of location approximation. Always `approximate`.

        - `"approximate"`

      - `city: optional string`

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

      - `country: optional string`

        The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`.

      - `region: optional string`

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

      - `timezone: optional string`

        The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`.

  - `ApplyPatch object { type }`

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

    - `type: "apply_patch"`

      The type of the tool. Always `apply_patch`.

      - `"apply_patch"`

- `truncation: optional "auto" or "disabled"`

  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.

  - `"auto"`

  - `"disabled"`

### Returns

- `input_tokens: number`

- `object: "response.input_tokens"`

  - `"response.input_tokens"`

### Example

```http
curl https://api.openai.com/v1/responses/input_tokens \
    -X POST \
    -H "Authorization: Bearer $OPENAI_API_KEY"
```

#### Response

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

### Example

```http
curl -X POST https://api.openai.com/v1/responses/input_tokens \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $OPENAI_API_KEY" \
    -d '{
      "model": "gpt-5",
      "input": "Tell me a joke."
    }'
```

#### Response

```json
{
  "object": "response.input_tokens",
  "input_tokens": 11
}
```
