Conversations

Create a conversation

$ openai conversations create

post /conversations

Create a conversation.

Parameters

• --item: optional array of ResponseInputItem

  Initial items to include in the conversation context. You may add up to 20 items at a time.

• --metadata: optional map[string]

  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.

Returns

• conversation: object { id, created_at, metadata, object }

  • id: string

    The unique ID of the conversation.

  • created_at: number

    The time at which the conversation was created, measured in seconds since the Unix epoch.

  • metadata: unknown

    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.

  • object: "conversation"

    The object type, which is always conversation.

Example

openai conversations create \
  --api-key 'My API Key'

Response

{
  "id": "id",
  "created_at": 0,
  "metadata": {},
  "object": "conversation"
}

Retrieve a conversation

$ openai conversations retrieve

get /conversations/{conversation_id}

Get a conversation

Parameters

• --conversation-id: string

  The ID of the conversation to retrieve.

Returns

• conversation: object { id, created_at, metadata, object }

  • id: string

    The unique ID of the conversation.

  • created_at: number

    The time at which the conversation was created, measured in seconds since the Unix epoch.

  • metadata: unknown

    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.

  • object: "conversation"

    The object type, which is always conversation.

Example

openai conversations retrieve \
  --api-key 'My API Key' \
  --conversation-id conv_123

Response

{
  "id": "id",
  "created_at": 0,
  "metadata": {},
  "object": "conversation"
}

Update a conversation

$ openai conversations update

post /conversations/{conversation_id}

Update a conversation

Parameters

• --conversation-id: string

  The ID of the conversation to update.

• --metadata: map[string]

  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.

Returns

• conversation: object { id, created_at, metadata, object }

  • id: string

    The unique ID of the conversation.

  • created_at: number

    The time at which the conversation was created, measured in seconds since the Unix epoch.

  • metadata: unknown

    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.

  • object: "conversation"

    The object type, which is always conversation.

Example

openai conversations update \
  --api-key 'My API Key' \
  --conversation-id conv_123 \
  --metadata '{foo: string}'

Response

{
  "id": "id",
  "created_at": 0,
  "metadata": {},
  "object": "conversation"
}

Delete a conversation

$ openai conversations delete

delete /conversations/{conversation_id}

Delete a conversation. Items in the conversation will not be deleted.

Parameters

• --conversation-id: string

  The ID of the conversation to delete.

Returns

• conversation_deleted_resource: object { id, deleted, object }

  • id: string

  • deleted: boolean

  • object: "conversation.deleted"

Example

openai conversations delete \
  --api-key 'My API Key' \
  --conversation-id conv_123

Response

{
  "id": "id",
  "deleted": true,
  "object": "conversation.deleted"
}

Domain Types

Computer Screenshot Content

• computer_screenshot_content: object { detail, file_id, image_url, type }

  A screenshot of a computer.

  • detail: "low" or "high" or "auto" or "original"

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

    • "low"

    • "high"

    • "auto"

    • "original"

  • file_id: string

    The identifier of an uploaded file that contains the screenshot.

  • image_url: string

    The URL of the screenshot image.

  • type: "computer_screenshot"

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

Conversation

• conversation: object { id, created_at, metadata, object }

  • id: string

    The unique ID of the conversation.

  • created_at: number

    The time at which the conversation was created, measured in seconds since the Unix epoch.

  • metadata: unknown

    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.

  • object: "conversation"

    The object type, which is always conversation.

Conversation Deleted

• conversation_deleted: object { id, deleted, object }

  • id: string

  • deleted: boolean

  • object: "conversation.deleted"

Conversation Deleted Resource

• conversation_deleted_resource: object { id, deleted, object }

  • id: string

  • deleted: boolean

  • object: "conversation.deleted"

Message

• message: object { id, content, role, 3 more }

  A message to or from the model.

  • id: string

    The unique ID of the message.

  • content: array of ResponseInputText or ResponseOutputText or TextContent or 6 more

    The content of the message

    • response_input_text: 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.

    • response_output_text: object { annotations, text, type, logprobs }

      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.

        • file_citation: 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.

        • url_citation: 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: string

            The URL of the web resource.

        • container_file_citation: 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.

        • file_path: 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.

      • text: string

        The text output from the model.

      • type: "output_text"

        The type of the output text. Always output_text.

      • logprobs: optional 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_content: object { text, type }

      A text content.

      • text: string

      • type: "text"

    • summary_text_content: object { text, type }

      A summary text from the model.

      • text: string

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

      • type: "summary_text"

        The type of the object. Always summary_text.

    • reasoning_text: object { text, type }

      Reasoning text from the model.

      • text: string

        The reasoning text from the model.

      • type: "reasoning_text"

        The type of the reasoning text. Always reasoning_text.

    • response_output_refusal: 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.

    • response_input_image: object { detail, type, file_id, image_url }

      An image input to the model. Learn about image inputs.

      • 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.

      • 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.

    • computer_screenshot_content: object { detail, file_id, image_url, type }

      A screenshot of a computer.

      • detail: "low" or "high" or "auto" or "original"

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

        • "low"

        • "high"

        • "auto"

        • "original"

      • file_id: string

        The identifier of an uploaded file that contains the screenshot.

      • image_url: string

        The URL of the screenshot image.

      • type: "computer_screenshot"

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

    • response_input_file: 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.

      • 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: "unknown" or "user" or "assistant" or 5 more

    The role of the message. One of unknown, user, assistant, system, critic, discriminator, developer, or tool.

    • "unknown"

    • "user"

    • "assistant"

    • "system"

    • "critic"

    • "discriminator"

    • "developer"

    • "tool"

  • status: "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: "message"

    The type of the message. Always set to 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"

Summary Text Content

• summary_text_content: object { text, type }

  A summary text from the model.

  • text: string

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

  • type: "summary_text"

    The type of the object. Always summary_text.

Text Content

• text_content: object { text, type }

  A text content.

  • text: string

  • type: "text"

Items

Create items

$ openai conversations:items create

post /conversations/{conversation_id}/items

Create items in a conversation with the given ID.

Parameters

• --conversation-id: string

  Path param: The ID of the conversation to add the item to.

• --item: array of ResponseInputItem

  Body param: The items to add to the conversation. You may add up to 20 items at a time.

• --include: optional array of ResponseIncludable

  Query param: Additional fields to include in the response. See the include parameter for listing Conversation items above for more information.

Returns

• conversation_item_list: object { data, first_id, has_more, 2 more }

  A list of Conversation items.

  • data: array of ConversationItem

    A list of conversation items.

    • message: object { id, content, role, 3 more }

      A message to or from the model.

      • id: string

        The unique ID of the message.

      • content: array of ResponseInputText or ResponseOutputText or TextContent or 6 more

        The content of the message

        • response_input_text: 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.

        • response_output_text: object { annotations, text, type, logprobs }

          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.

            • file_citation: 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.

            • url_citation: 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: string

                The URL of the web resource.

            • container_file_citation: 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.

            • file_path: 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.

          • text: string

            The text output from the model.

          • type: "output_text"

            The type of the output text. Always output_text.

          • logprobs: optional 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_content: object { text, type }

          A text content.

          • text: string

          • type: "text"

        • summary_text_content: object { text, type }

          A summary text from the model.

          • text: string

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

          • type: "summary_text"

            The type of the object. Always summary_text.

        • reasoning_text: object { text, type }

          Reasoning text from the model.

          • text: string

            The reasoning text from the model.

          • type: "reasoning_text"

            The type of the reasoning text. Always reasoning_text.

        • response_output_refusal: 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.

        • response_input_image: object { detail, type, file_id, image_url }

          An image input to the model. Learn about image inputs.

          • 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.

          • 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.

        • computer_screenshot_content: object { detail, file_id, image_url, type }

          A screenshot of a computer.

          • detail: "low" or "high" or "auto" or "original"

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

            • "low"

            • "high"

            • "auto"

            • "original"

          • file_id: string

            The identifier of an uploaded file that contains the screenshot.

          • image_url: string

            The URL of the screenshot image.

          • type: "computer_screenshot"

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

        • response_input_file: 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.

          • 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: "unknown" or "user" or "assistant" or 5 more

        The role of the message. One of unknown, user, assistant, system, critic, discriminator, developer, or tool.

        • "unknown"

        • "user"

        • "assistant"

        • "system"

        • "critic"

        • "discriminator"

        • "developer"

        • "tool"

      • status: "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: "message"

        The type of the message. Always set to 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"

    • response_function_tool_call_item: ResponseFunctionToolCall

      A tool call to run a function. See the function calling guide for more information.

      • id: string

        The unique ID of the function tool call.

      • 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"

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_function_tool_call_output_item: object { id, call_id, output, 3 more }

      • id: string

        The unique ID of the function call tool output.

      • call_id: string

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

      • output: string or array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

        • string output: string

          A string of the output of the function call.

        • output content list: array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

          • response_input_text: object { text, type }

            A text input to the model.

          • response_input_image: object { detail, type, file_id, image_url }

            An image input to the model. Learn about image inputs.

          • response_input_file: object { type, detail, file_data, 3 more }

            A file input to the model.

      • 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: "function_call_output"

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

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_file_search_tool_call: object { id, queries, status, 2 more }

      The results of a file search tool call. See the file search guide 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.

      • 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.

          • union_member_0: string

          • union_member_1: number

          • union_member_2: 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.

    • response_function_web_search: object { id, action, status, type }

      The results of a web search tool call. See the web search guide for more information.

      • id: string

        The unique ID of the web search tool call.

      • action: object { type, queries, query, 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 { type, queries, query, sources }

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

          • type: "search"

            The action type.

          • queries: optional array of string

            The search queries.

          • query: optional string

            The search query.

          • sources: optional array of object { type, url }

            The sources used in the search.

            • type: "url"

              The type of source. Always url.

            • url: string

              The URL of the source.

        • open_page: object { type, url }

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

          • type: "open_page"

            The action type.

          • url: optional string

            The URL opened by the model.

        • find_in_page: 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.

          • 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.

    • image_generation_call: 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.

    • response_computer_tool_call: object { id, call_id, pending_safety_checks, 4 more }

      A tool call to a computer use tool. See the computer use guide 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 object { button, type, x, 2 more } or object { keys, type, x, y } or object { path, type, keys } or 6 more

        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.

          • 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.

        • double_click: 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.

          • 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.

          • 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.

        • 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.

          • 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.

        • 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.

          • 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.

        • wait: object { type }

          A wait action.

      • actions: optional array of ComputerAction

        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.

          • 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.

          • 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.

        • double_click: 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.

          • 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.

          • 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.

        • 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.

          • 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.

        • 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.

          • 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.

        • wait: object { type }

          A wait action.

    • response_computer_tool_call_output_item: object { id, call_id, output, 4 more }

      • id: string

        The unique ID of the computer call tool output.

      • call_id: string

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

      • output: object { type, file_id, image_url }

        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.

        • file_id: optional string

          The identifier of an uploaded file that contains the screenshot.

        • image_url: optional string

          The URL of the screenshot image.

      • status: "completed" or "incomplete" or "failed" or "in_progress"

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

        • "completed"

        • "incomplete"

        • "failed"

        • "in_progress"

      • type: "computer_call_output"

        The type of the computer tool call output. Always computer_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.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_tool_search_call: object { id, arguments, call_id, 4 more }

      • id: string

        The unique ID of the tool search call item.

      • arguments: unknown

        Arguments used for the tool search call.

      • call_id: string

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

      • execution: "server" or "client"

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

        • "server"

        • "client"

      • status: "in_progress" or "completed" or "incomplete"

        The status of the tool search call item that was recorded.

        • "in_progress"

        • "completed"

        • "incomplete"

      • type: "tool_search_call"

        The type of the item. Always tool_search_call.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_tool_search_output_item: object { id, call_id, execution, 4 more }

      • id: string

        The unique ID of the tool search output item.

      • call_id: string

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

      • execution: "server" or "client"

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

        • "server"

        • "client"

      • status: "in_progress" or "completed" or "incomplete"

        The status of the tool search output item that was recorded.

        • "in_progress"

        • "completed"

        • "incomplete"

      • tools: array of Tool

        The loaded tool definitions returned by tool search.

        • function_tool: object { name, parameters, strict, 3 more }

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

          • name: string

            The name of the function to call.

          • parameters: map[unknown]

            A JSON schema object describing the parameters of the function.

          • strict: boolean

            Whether to enforce strict parameter validation. Default true.

          • type: "function"

            The type of the function tool. Always 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.

        • file_search_tool: object { type, vector_store_ids, filters, 2 more }

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

          • type: "file_search"

            The type of the file search tool. Always file_search.

          • vector_store_ids: array of string

            The IDs of the vector stores to search.

          • filters: optional ComparisonFilter or CompoundFilter

            A filter to apply.

            • comparison_filter: object { key, type, value }

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

              • key: string

                The key to compare against the value.

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

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

                • eq: equals

                • ne: not equal

                • gt: greater than

                • gte: greater than or equal

                • lt: less than

                • lte: less than or equal

                • in: in

                • nin: not in

                • "eq"

                • "ne"

                • "gt"

                • "gte"

                • "lt"

                • "lte"

                • "in"

                • "nin"

              • value: string or number or boolean or array of string or number

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

                • union_member_0: string

                • union_member_1: number

                • union_member_2: boolean

                • union_member_3: array of string or number

                  • union_member_0: string

                  • union_member_1: number

            • compound_filter: object { filters, type }

              Combine multiple filters using and or or.

              • filters: array of ComparisonFilter or unknown

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

                • comparison_filter: object { key, type, value }

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

                • union_member_1: unknown

              • type: "and" or "or"

                Type of operation: and or or.

                • "and"

                • "or"

          • max_num_results: optional number

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

          • ranking_options: optional object { hybrid_search, ranker, score_threshold }

            Ranking options for search.

            • 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_tool: object { type }

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

          • type: "computer"

            The type of the computer tool. Always computer.

        • computer_use_preview_tool: object { display_height, display_width, environment, type }

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

          • display_height: number

            The height of the computer display.

          • display_width: number

            The width of the computer display.

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

            The type of computer environment to control.

            • "windows"

            • "mac"

            • "linux"

            • "ubuntu"

            • "browser"

          • type: "computer_use_preview"

            The type of the computer use tool. Always computer_use_preview.

        • web_search_tool: object { type, filters, search_context_size, user_location }

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

          • type: "web_search" or "web_search_2025_08_26"

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

            • "web_search"

            • "web_search_2025_08_26"

          • filters: optional object { allowed_domains }

            Filters for the search.

            • allowed_domains: optional array of string

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

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

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

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

            • "low"

            • "medium"

            • "high"

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

            The approximate location of the user.

            • city: optional string

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

            • country: optional string

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

            • region: optional string

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

            • timezone: optional string

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

            • type: optional "approximate"

              The type of location approximation. Always approximate.

              • "approximate"

        • mcp: object { server_label, type, allowed_tools, 8 more }

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

          • server_label: string

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

          • type: "mcp"

            The type of the MCP tool. Always mcp.

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

            List of allowed tool names or a filter object.

            • MCP allowed tools: array of string

              A string array of allowed tool names

            • MCP tool filter: object { read_only, tool_names }

              A filter object to specify which tools are allowed.

              • read_only: optional boolean

                Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

              • tool_names: optional array of string

                List of allowed tool names.

          • authorization: optional string

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

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

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

            Currently supported connector_id values are:

            • Dropbox: connector_dropbox

            • Gmail: connector_gmail

            • Google Calendar: connector_googlecalendar

            • Google Drive: connector_googledrive

            • Microsoft Teams: connector_microsoftteams

            • Outlook Calendar: connector_outlookcalendar

            • Outlook Email: connector_outlookemail

            • SharePoint: connector_sharepoint

            • "connector_dropbox"

            • "connector_gmail"

            • "connector_googlecalendar"

            • "connector_googledrive"

            • "connector_microsoftteams"

            • "connector_outlookcalendar"

            • "connector_outlookemail"

            • "connector_sharepoint"

          • defer_loading: optional boolean

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

          • headers: optional map[string]

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

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

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

            • MCP tool approval filter: object { always, never }

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

              • always: optional object { read_only, tool_names }

                A filter object to specify which tools are allowed.

                • read_only: optional boolean

                  Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

                • tool_names: optional array of string

                  List of allowed tool names.

              • never: optional object { read_only, tool_names }

                A filter object to specify which tools are allowed.

                • read_only: optional boolean

                  Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

                • tool_names: optional array of string

                  List of allowed tool names.

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

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

              • "always"

              • "never"

          • server_description: optional string

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

          • server_url: optional string

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

          • tunnel_id: optional string

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

        • code_interpreter: object { container, type }

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

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

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

            • union_member_0: string

              The container ID.

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

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

              • type: "auto"

                Always auto.

              • file_ids: optional array of string

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

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

                The memory limit for the code interpreter container.

                • "1g"

                • "4g"

                • "16g"

                • "64g"

              • network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist

                Network access policy for the container.

                • container_network_policy_disabled: object { type }

                  • type: "disabled"

                    Disable outbound network access. Always disabled.

                • container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }

                  • allowed_domains: array of string

                    A list of allowed domains when type is allowlist.

                  • type: "allowlist"

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

                  • domain_secrets: optional array of 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.

        • image_generation: object { type, action, background, 9 more }

          A tool that generates images using the GPT image models.

          • type: "image_generation"

            The type of the image generation tool. Always image_generation.

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

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

            • "generate"

            • "edit"

            • "auto"

          • background: optional "transparent" or "opaque" or "auto"

            Allows to set transparency for the background of the generated image(s). This parameter is only supported for GPT image models that support transparent backgrounds. Must be one of transparent, opaque, or auto (default value). When auto is used, the model will automatically determine the best background for the image.

            gpt-image-2 and gpt-image-2-2026-04-21 do not support transparent backgrounds. Requests with background set to transparent will return an error for these models; use opaque or auto instead.

            If transparent, the output format needs to support transparency, so it should be set to either png (default value) or webp.

            • "transparent"

            • "opaque"

            • "auto"

          • input_fidelity: optional "high" or "low"

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

            • "high"

            • "low"

          • input_image_mask: optional object { file_id, image_url }

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

            • file_id: optional string

              File ID for the mask image.

            • image_url: optional string

              Base64-encoded mask image.

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

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

            • "gpt-image-1"

            • "gpt-image-1-mini"

            • "gpt-image-2"

            • "gpt-image-2-2026-04-21"

            • "gpt-image-1.5"

            • "chatgpt-image-latest"

          • moderation: optional "auto" or "low"

            Moderation level for the generated image. Default: auto.

            • "auto"

            • "low"

          • output_compression: optional number

            Compression level for the output image. Default: 100.

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

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

            • "png"

            • "webp"

            • "jpeg"

          • partial_images: optional number

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

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

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

            • "low"

            • "medium"

            • "high"

            • "auto"

          • size: optional string or "1024x1024" or "1024x1536" or "1536x1024" or "auto"

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

            • "1024x1024"

            • "1024x1536"

            • "1536x1024"

            • "auto"

        • local_shell: object { type }

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

        • function_shell_tool: object { type, environment }

          A tool that allows the model to execute shell commands.

          • type: "shell"

            The type of the shell tool. Always shell.

          • environment: optional ContainerAuto or LocalEnvironment or ContainerReference

            • container_auto: object { type, file_ids, memory_limit, 2 more }

              • type: "container_auto"

                Automatically creates a container for this request

              • file_ids: optional array of string

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

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

                The memory limit for the container.

                • "1g"

                • "4g"

                • "16g"

                • "64g"

              • network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist

                Network access policy for the container.

                • container_network_policy_disabled: object { type }

                • container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }

              • skills: optional array of SkillReference or InlineSkill

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

                • skill_reference: object { skill_id, type, version }

                  • skill_id: string

                    The ID of the referenced skill.

                  • type: "skill_reference"

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

                  • version: optional string

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

                • inline_skill: object { description, name, source, type }

                  • description: string

                    The description of the skill.

                  • name: string

                    The name of the skill.

                  • source: object { data, media_type, type }

                    Inline skill payload

                    • data: string

                      Base64-encoded skill zip bundle.

                    • media_type: "application/zip"

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

                    • type: "base64"

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

                  • type: "inline"

                    Defines an inline skill for this request.

            • local_environment: object { type, skills }

              • type: "local"

                Use a local computer environment.

              • 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.

            • container_reference: object { container_id, type }

              • container_id: string

                The ID of the referenced container.

              • type: "container_reference"

                References a container created with the /v1/containers endpoint

        • custom_tool: object { name, type, defer_loading, 2 more }

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

          • name: string

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

          • type: "custom"

            The type of the custom tool. Always custom.

          • defer_loading: optional boolean

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

          • description: optional string

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

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

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

            • text: object { type }

              Unconstrained free-form text.

            • grammar: object { definition, syntax, type }

              A grammar defined by the user.

              • definition: string

                The grammar definition.

              • syntax: "lark" or "regex"

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

                • "lark"

                • "regex"

              • type: "grammar"

                Grammar format. Always grammar.

        • namespace_tool: object { description, name, tools, type }

          Groups function/custom tools under a shared namespace.

          • description: string

            A description of the namespace shown to the model.

          • name: string

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

          • tools: array of object { name, type, defer_loading, 3 more } or CustomTool

            The function/custom tools available inside this namespace.

            • function: object { name, type, defer_loading, 3 more }

              • name: string

              • type: "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_tool: object { name, type, defer_loading, 2 more }

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

              • name: string

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

              • type: "custom"

                The type of the custom tool. Always custom.

              • defer_loading: optional boolean

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

              • description: optional string

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

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

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

          • type: "namespace"

            The type of the tool. Always namespace.

        • tool_search_tool: object { type, description, execution, parameters }

          Hosted or BYOT tool search configuration for deferred tools.

          • type: "tool_search"

            The type of the tool. Always tool_search.

          • description: optional string

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

          • execution: optional "server" or "client"

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

            • "server"

            • "client"

          • parameters: optional unknown

            Parameter schema for a client-executed tool search tool.

        • web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

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

          • type: "web_search_preview" or "web_search_preview_2025_03_11"

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

            • "web_search_preview"

            • "web_search_preview_2025_03_11"

          • search_content_types: optional array of "text" or "image"

            • "text"

            • "image"

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

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

            • "low"

            • "medium"

            • "high"

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

            The user's location.

            • type: "approximate"

              The type of location approximation. Always approximate.

            • city: optional string

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

            • country: optional string

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

            • region: optional string

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

            • timezone: optional string

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

        • apply_patch_tool: 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.

      • type: "tool_search_output"

        The type of the item. Always tool_search_output.

      • created_by: optional string

        The identifier of the actor that created the item.

    • additional_tools: object { id, role, tools, type }

      • id: string

        The unique ID of the additional tools item.

      • role: "unknown" or "user" or "assistant" or 5 more

        The role that provided the additional tools.

        • "unknown"

        • "user"

        • "assistant"

        • "system"

        • "critic"

        • "discriminator"

        • "developer"

        • "tool"

      • tools: array of Tool

        The additional tool definitions made available at this item.

        • function_tool: object { name, parameters, strict, 3 more }

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

        • file_search_tool: object { type, vector_store_ids, filters, 2 more }

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

        • computer_tool: object { type }

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

        • computer_use_preview_tool: object { display_height, display_width, environment, type }

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

        • web_search_tool: object { type, filters, search_context_size, user_location }

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

        • mcp: object { server_label, type, allowed_tools, 8 more }

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

        • code_interpreter: object { container, type }

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

        • image_generation: object { type, action, background, 9 more }

          A tool that generates images using the GPT image models.

        • local_shell: object { type }

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

        • function_shell_tool: object { type, environment }

          A tool that allows the model to execute shell commands.

        • custom_tool: object { name, type, defer_loading, 2 more }

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

        • namespace_tool: object { description, name, tools, type }

          Groups function/custom tools under a shared namespace.

        • tool_search_tool: object { type, description, execution, parameters }

          Hosted or BYOT tool search configuration for deferred tools.

        • web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

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

        • apply_patch_tool: object { type }

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

      • type: "additional_tools"

        The type of the item. Always additional_tools.

    • response_reasoning_item: 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.

      • id: string

        The unique identifier of the reasoning content.

      • summary: array of object { text, type }

        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.

      • type: "reasoning"

        The type of the object. Always 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.

      • 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"

    • response_compaction_item: object { id, encrypted_content, type, created_by }

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

      • id: string

        The unique ID of the compaction item.

      • encrypted_content: string

        The encrypted content that was produced by compaction.

      • type: "compaction"

        The type of the item. Always compaction.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_code_interpreter_tool_call: 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.

        • image: object { type, url }

          The image output from the code interpreter.

          • type: "image"

            The type of the output. Always 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.

    • local_shell_call: 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.

        • 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_output: 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.

      • status: optional "in_progress" or "completed" or "incomplete"

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

        • "in_progress"

        • "completed"

        • "incomplete"

    • response_function_shell_tool_call: object { id, action, call_id, 4 more }

      A tool call that executes one or more shell commands in a managed environment.

      • id: string

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

      • 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

        • max_output_length: number

          Optional maximum number of characters to return from each command.

        • timeout_ms: number

          Optional timeout in milliseconds for the commands.

      • call_id: string

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

      • environment: ResponseLocalEnvironment or ResponseContainerReference

        Represents the use of a local environment to perform shell actions.

        • response_local_environment: object { type }

          Represents the use of a local environment to perform shell actions.

          • type: "local"

            The environment type. Always local.

        • response_container_reference: object { container_id, type }

          Represents a container created with /v1/containers.

          • container_id: string

          • type: "container_reference"

            The environment type. Always container_reference.

      • status: "in_progress" or "completed" or "incomplete"

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

        • "in_progress"

        • "completed"

        • "incomplete"

      • type: "shell_call"

        The type of the item. Always shell_call.

      • created_by: optional string

        The ID of the entity that created this tool call.

    • response_function_shell_tool_call_output: object { id, call_id, max_output_length, 4 more }

      The output of a shell tool call that was emitted.

      • id: string

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

      • call_id: string

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

      • max_output_length: number

        The maximum length of the shell command output. This is generated by the model and should be passed back with the raw output.

      • output: array of object { outcome, stderr, stdout, created_by }

        An array of shell call output contents

        • outcome: object { type } or object { exit_code, type }

          Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.

          • timeout: object { type }

            Indicates that the shell call exceeded its configured time limit.

          • exit: object { exit_code, type }

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

            • exit_code: number

              Exit code from the shell process.

            • type: "exit"

              The outcome type. Always exit.

        • stderr: string

          The standard error output that was captured.

        • stdout: string

          The standard output that was captured.

        • created_by: optional string

          The identifier of the actor that created the item.

      • status: "in_progress" or "completed" or "incomplete"

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

        • "in_progress"

        • "completed"

        • "incomplete"

      • type: "shell_call_output"

        The type of the shell call output. Always shell_call_output.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_apply_patch_tool_call: object { id, call_id, operation, 3 more }

      A tool call that applies file diffs by creating, deleting, or updating files.

      • id: string

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

      • 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 }

        One of the create_file, delete_file, or update_file operations applied via apply_patch.

        • create_file: object { diff, path, type }

          Instruction describing how to create a file via the apply_patch tool.

          • diff: string

            Diff to apply.

          • path: string

            Path of the file to create.

          • type: "create_file"

            Create a new file with the provided diff.

        • delete_file: object { path, type }

          Instruction describing how to delete a file via the apply_patch tool.

          • path: string

            Path of the file to delete.

          • type: "delete_file"

            Delete the specified file.

        • update_file: object { diff, path, type }

          Instruction describing how to update a file via the apply_patch tool.

          • diff: string

            Diff to apply.

          • path: string

            Path of the file to update.

          • type: "update_file"

            Update an existing file with the provided diff.

      • 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.

      • created_by: optional string

        The ID of the entity that created this tool call.

    • response_apply_patch_tool_call_output: object { id, call_id, status, 3 more }

      The output emitted by an apply patch tool call.

      • id: string

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

      • 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.

      • created_by: optional string

        The ID of the entity that created this tool call output.

      • output: optional string

        Optional textual output returned by the apply patch tool.

    • mcp_list_tools: 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.

      • error: optional string

        Error message if the server could not list tools.

    • mcp_approval_request: 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_response: object { id, approval_request_id, approve, 2 more }

      A response to an MCP approval request.

      • id: string

        The unique ID of the approval response

      • 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.

      • reason: optional string

        Optional reason for the decision.

    • mcp_call: 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.

      • 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"

    • response_custom_tool_call: 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.

      • 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.

    • response_custom_tool_call_output: 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.

        • string output: string

          A string of the output of the custom tool call.

        • output content list: array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

          • response_input_text: object { text, type }

            A text input to the model.

          • response_input_image: object { detail, type, file_id, image_url }

            An image input to the model. Learn about image inputs.

          • response_input_file: 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.

      • id: optional string

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

  • first_id: string

    The ID of the first item in the list.

  • has_more: boolean

    Whether there are more items available.

  • last_id: string

    The ID of the last item in the list.

  • object: "list"

    The type of object returned, must be list.

Example

openai conversations:items create \
  --api-key 'My API Key' \
  --conversation-id conv_123 \
  --item '{content: string, role: user, type: message}'

Response

{
  "data": [
    {
      "id": "id",
      "content": [
        {
          "text": "text",
          "type": "input_text"
        }
      ],
      "role": "unknown",
      "status": "in_progress",
      "type": "message",
      "phase": "commentary"
    }
  ],
  "first_id": "first_id",
  "has_more": true,
  "last_id": "last_id",
  "object": "list"
}

List items

$ openai conversations:items list

get /conversations/{conversation_id}/items

List all items for a conversation with the given ID.

Parameters

• --conversation-id: string

  The ID of the conversation to list items for.

• --after: optional string

  An item ID to list items after, used in pagination.

• --include: optional array of ResponseIncludable

  Specify additional output data to include in the model response. Currently supported values are:

  • web_search_call.action.sources: Include the sources of the web search tool call.
  • code_interpreter_call.outputs: Includes the outputs of python code execution in code interpreter tool call items.
  • computer_call_output.output.image_url: Include image urls from the computer call output.
  • file_search_call.results: Include the search results of the file search tool call.
  • message.input_image.image_url: Include image urls from the input message.
  • message.output_text.logprobs: Include logprobs with assistant messages.
  • reasoning.encrypted_content: Includes an encrypted version of reasoning tokens in reasoning item outputs. This enables reasoning items to be used in multi-turn conversations when using the Responses API statelessly (like when the store parameter is set to false, or when an organization is enrolled in the zero data retention program).

• --limit: optional number

  A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.

• --order: optional "asc" or "desc"

  The order to return the input items in. Default is desc.

  • asc: Return the input items in ascending order.
  • desc: Return the input items in descending order.

Returns

• conversation_item_list: object { data, first_id, has_more, 2 more }

  A list of Conversation items.

  • data: array of ConversationItem

    A list of conversation items.

    • message: object { id, content, role, 3 more }

      A message to or from the model.

      • id: string

        The unique ID of the message.

      • content: array of ResponseInputText or ResponseOutputText or TextContent or 6 more

        The content of the message

        • response_input_text: 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.

        • response_output_text: object { annotations, text, type, logprobs }

          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.

            • file_citation: 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.

            • url_citation: 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: string

                The URL of the web resource.

            • container_file_citation: 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.

            • file_path: 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.

          • text: string

            The text output from the model.

          • type: "output_text"

            The type of the output text. Always output_text.

          • logprobs: optional 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_content: object { text, type }

          A text content.

          • text: string

          • type: "text"

        • summary_text_content: object { text, type }

          A summary text from the model.

          • text: string

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

          • type: "summary_text"

            The type of the object. Always summary_text.

        • reasoning_text: object { text, type }

          Reasoning text from the model.

          • text: string

            The reasoning text from the model.

          • type: "reasoning_text"

            The type of the reasoning text. Always reasoning_text.

        • response_output_refusal: 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.

        • response_input_image: object { detail, type, file_id, image_url }

          An image input to the model. Learn about image inputs.

          • 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.

          • 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.

        • computer_screenshot_content: object { detail, file_id, image_url, type }

          A screenshot of a computer.

          • detail: "low" or "high" or "auto" or "original"

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

            • "low"

            • "high"

            • "auto"

            • "original"

          • file_id: string

            The identifier of an uploaded file that contains the screenshot.

          • image_url: string

            The URL of the screenshot image.

          • type: "computer_screenshot"

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

        • response_input_file: 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.

          • 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: "unknown" or "user" or "assistant" or 5 more

        The role of the message. One of unknown, user, assistant, system, critic, discriminator, developer, or tool.

        • "unknown"

        • "user"

        • "assistant"

        • "system"

        • "critic"

        • "discriminator"

        • "developer"

        • "tool"

      • status: "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: "message"

        The type of the message. Always set to 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"

    • response_function_tool_call_item: ResponseFunctionToolCall

      A tool call to run a function. See the function calling guide for more information.

      • id: string

        The unique ID of the function tool call.

      • 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"

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_function_tool_call_output_item: object { id, call_id, output, 3 more }

      • id: string

        The unique ID of the function call tool output.

      • call_id: string

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

      • output: string or array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

        • string output: string

          A string of the output of the function call.

        • output content list: array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

          • response_input_text: object { text, type }

            A text input to the model.

          • response_input_image: object { detail, type, file_id, image_url }

            An image input to the model. Learn about image inputs.

          • response_input_file: object { type, detail, file_data, 3 more }

            A file input to the model.

      • 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: "function_call_output"

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

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_file_search_tool_call: object { id, queries, status, 2 more }

      The results of a file search tool call. See the file search guide 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.

      • 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.

          • union_member_0: string

          • union_member_1: number

          • union_member_2: 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.

    • response_function_web_search: object { id, action, status, type }

      The results of a web search tool call. See the web search guide for more information.

      • id: string

        The unique ID of the web search tool call.

      • action: object { type, queries, query, 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 { type, queries, query, sources }

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

          • type: "search"

            The action type.

          • queries: optional array of string

            The search queries.

          • query: optional string

            The search query.

          • sources: optional array of object { type, url }

            The sources used in the search.

            • type: "url"

              The type of source. Always url.

            • url: string

              The URL of the source.

        • open_page: object { type, url }

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

          • type: "open_page"

            The action type.

          • url: optional string

            The URL opened by the model.

        • find_in_page: 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.

          • 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.

    • image_generation_call: 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.

    • response_computer_tool_call: object { id, call_id, pending_safety_checks, 4 more }

      A tool call to a computer use tool. See the computer use guide 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 object { button, type, x, 2 more } or object { keys, type, x, y } or object { path, type, keys } or 6 more

        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.

          • 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.

        • double_click: 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.

          • 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.

          • 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.

        • 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.

          • 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.

        • 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.

          • 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.

        • wait: object { type }

          A wait action.

      • actions: optional array of ComputerAction

        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.

          • 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.

          • 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.

        • double_click: 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.

          • 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.

          • 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.

        • 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.

          • 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.

        • 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.

          • 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.

        • wait: object { type }

          A wait action.

    • response_computer_tool_call_output_item: object { id, call_id, output, 4 more }

      • id: string

        The unique ID of the computer call tool output.

      • call_id: string

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

      • output: object { type, file_id, image_url }

        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.

        • file_id: optional string

          The identifier of an uploaded file that contains the screenshot.

        • image_url: optional string

          The URL of the screenshot image.

      • status: "completed" or "incomplete" or "failed" or "in_progress"

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

        • "completed"

        • "incomplete"

        • "failed"

        • "in_progress"

      • type: "computer_call_output"

        The type of the computer tool call output. Always computer_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.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_tool_search_call: object { id, arguments, call_id, 4 more }

      • id: string

        The unique ID of the tool search call item.

      • arguments: unknown

        Arguments used for the tool search call.

      • call_id: string

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

      • execution: "server" or "client"

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

        • "server"

        • "client"

      • status: "in_progress" or "completed" or "incomplete"

        The status of the tool search call item that was recorded.

        • "in_progress"

        • "completed"

        • "incomplete"

      • type: "tool_search_call"

        The type of the item. Always tool_search_call.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_tool_search_output_item: object { id, call_id, execution, 4 more }

      • id: string

        The unique ID of the tool search output item.

      • call_id: string

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

      • execution: "server" or "client"

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

        • "server"

        • "client"

      • status: "in_progress" or "completed" or "incomplete"

        The status of the tool search output item that was recorded.

        • "in_progress"

        • "completed"

        • "incomplete"

      • tools: array of Tool

        The loaded tool definitions returned by tool search.

        • function_tool: object { name, parameters, strict, 3 more }

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

          • name: string

            The name of the function to call.

          • parameters: map[unknown]

            A JSON schema object describing the parameters of the function.

          • strict: boolean

            Whether to enforce strict parameter validation. Default true.

          • type: "function"

            The type of the function tool. Always 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.

        • file_search_tool: object { type, vector_store_ids, filters, 2 more }

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

          • type: "file_search"

            The type of the file search tool. Always file_search.

          • vector_store_ids: array of string

            The IDs of the vector stores to search.

          • filters: optional ComparisonFilter or CompoundFilter

            A filter to apply.

            • comparison_filter: object { key, type, value }

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

              • key: string

                The key to compare against the value.

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

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

                • eq: equals

                • ne: not equal

                • gt: greater than

                • gte: greater than or equal

                • lt: less than

                • lte: less than or equal

                • in: in

                • nin: not in

                • "eq"

                • "ne"

                • "gt"

                • "gte"

                • "lt"

                • "lte"

                • "in"

                • "nin"

              • value: string or number or boolean or array of string or number

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

                • union_member_0: string

                • union_member_1: number

                • union_member_2: boolean

                • union_member_3: array of string or number

                  • union_member_0: string

                  • union_member_1: number

            • compound_filter: object { filters, type }

              Combine multiple filters using and or or.

              • filters: array of ComparisonFilter or unknown

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

                • comparison_filter: object { key, type, value }

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

                • union_member_1: unknown

              • type: "and" or "or"

                Type of operation: and or or.

                • "and"

                • "or"

          • max_num_results: optional number

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

          • ranking_options: optional object { hybrid_search, ranker, score_threshold }

            Ranking options for search.

            • 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_tool: object { type }

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

          • type: "computer"

            The type of the computer tool. Always computer.

        • computer_use_preview_tool: object { display_height, display_width, environment, type }

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

          • display_height: number

            The height of the computer display.

          • display_width: number

            The width of the computer display.

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

            The type of computer environment to control.

            • "windows"

            • "mac"

            • "linux"

            • "ubuntu"

            • "browser"

          • type: "computer_use_preview"

            The type of the computer use tool. Always computer_use_preview.

        • web_search_tool: object { type, filters, search_context_size, user_location }

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

          • type: "web_search" or "web_search_2025_08_26"

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

            • "web_search"

            • "web_search_2025_08_26"

          • filters: optional object { allowed_domains }

            Filters for the search.

            • allowed_domains: optional array of string

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

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

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

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

            • "low"

            • "medium"

            • "high"

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

            The approximate location of the user.

            • city: optional string

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

            • country: optional string

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

            • region: optional string

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

            • timezone: optional string

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

            • type: optional "approximate"

              The type of location approximation. Always approximate.

              • "approximate"

        • mcp: object { server_label, type, allowed_tools, 8 more }

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

          • server_label: string

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

          • type: "mcp"

            The type of the MCP tool. Always mcp.

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

            List of allowed tool names or a filter object.

            • MCP allowed tools: array of string

              A string array of allowed tool names

            • MCP tool filter: object { read_only, tool_names }

              A filter object to specify which tools are allowed.

              • read_only: optional boolean

                Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

              • tool_names: optional array of string

                List of allowed tool names.

          • authorization: optional string

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

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

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

            Currently supported connector_id values are:

            • Dropbox: connector_dropbox

            • Gmail: connector_gmail

            • Google Calendar: connector_googlecalendar

            • Google Drive: connector_googledrive

            • Microsoft Teams: connector_microsoftteams

            • Outlook Calendar: connector_outlookcalendar

            • Outlook Email: connector_outlookemail

            • SharePoint: connector_sharepoint

            • "connector_dropbox"

            • "connector_gmail"

            • "connector_googlecalendar"

            • "connector_googledrive"

            • "connector_microsoftteams"

            • "connector_outlookcalendar"

            • "connector_outlookemail"

            • "connector_sharepoint"

          • defer_loading: optional boolean

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

          • headers: optional map[string]

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

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

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

            • MCP tool approval filter: object { always, never }

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

              • always: optional object { read_only, tool_names }

                A filter object to specify which tools are allowed.

                • read_only: optional boolean

                  Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

                • tool_names: optional array of string

                  List of allowed tool names.

              • never: optional object { read_only, tool_names }

                A filter object to specify which tools are allowed.

                • read_only: optional boolean

                  Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

                • tool_names: optional array of string

                  List of allowed tool names.

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

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

              • "always"

              • "never"

          • server_description: optional string

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

          • server_url: optional string

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

          • tunnel_id: optional string

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

        • code_interpreter: object { container, type }

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

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

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

            • union_member_0: string

              The container ID.

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

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

              • type: "auto"

                Always auto.

              • file_ids: optional array of string

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

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

                The memory limit for the code interpreter container.

                • "1g"

                • "4g"

                • "16g"

                • "64g"

              • network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist

                Network access policy for the container.

                • container_network_policy_disabled: object { type }

                  • type: "disabled"

                    Disable outbound network access. Always disabled.

                • container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }

                  • allowed_domains: array of string

                    A list of allowed domains when type is allowlist.

                  • type: "allowlist"

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

                  • domain_secrets: optional array of 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.

        • image_generation: object { type, action, background, 9 more }

          A tool that generates images using the GPT image models.

          • type: "image_generation"

            The type of the image generation tool. Always image_generation.

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

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

            • "generate"

            • "edit"

            • "auto"

          • background: optional "transparent" or "opaque" or "auto"

            Allows to set transparency for the background of the generated image(s). This parameter is only supported for GPT image models that support transparent backgrounds. Must be one of transparent, opaque, or auto (default value). When auto is used, the model will automatically determine the best background for the image.

            gpt-image-2 and gpt-image-2-2026-04-21 do not support transparent backgrounds. Requests with background set to transparent will return an error for these models; use opaque or auto instead.

            If transparent, the output format needs to support transparency, so it should be set to either png (default value) or webp.

            • "transparent"

            • "opaque"

            • "auto"

          • input_fidelity: optional "high" or "low"

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

            • "high"

            • "low"

          • input_image_mask: optional object { file_id, image_url }

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

            • file_id: optional string

              File ID for the mask image.

            • image_url: optional string

              Base64-encoded mask image.

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

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

            • "gpt-image-1"

            • "gpt-image-1-mini"

            • "gpt-image-2"

            • "gpt-image-2-2026-04-21"

            • "gpt-image-1.5"

            • "chatgpt-image-latest"

          • moderation: optional "auto" or "low"

            Moderation level for the generated image. Default: auto.

            • "auto"

            • "low"

          • output_compression: optional number

            Compression level for the output image. Default: 100.

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

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

            • "png"

            • "webp"

            • "jpeg"

          • partial_images: optional number

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

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

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

            • "low"

            • "medium"

            • "high"

            • "auto"

          • size: optional string or "1024x1024" or "1024x1536" or "1536x1024" or "auto"

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

            • "1024x1024"

            • "1024x1536"

            • "1536x1024"

            • "auto"

        • local_shell: object { type }

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

        • function_shell_tool: object { type, environment }

          A tool that allows the model to execute shell commands.

          • type: "shell"

            The type of the shell tool. Always shell.

          • environment: optional ContainerAuto or LocalEnvironment or ContainerReference

            • container_auto: object { type, file_ids, memory_limit, 2 more }

              • type: "container_auto"

                Automatically creates a container for this request

              • file_ids: optional array of string

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

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

                The memory limit for the container.

                • "1g"

                • "4g"

                • "16g"

                • "64g"

              • network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist

                Network access policy for the container.

                • container_network_policy_disabled: object { type }

                • container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }

              • skills: optional array of SkillReference or InlineSkill

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

                • skill_reference: object { skill_id, type, version }

                  • skill_id: string

                    The ID of the referenced skill.

                  • type: "skill_reference"

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

                  • version: optional string

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

                • inline_skill: object { description, name, source, type }

                  • description: string

                    The description of the skill.

                  • name: string

                    The name of the skill.

                  • source: object { data, media_type, type }

                    Inline skill payload

                    • data: string

                      Base64-encoded skill zip bundle.

                    • media_type: "application/zip"

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

                    • type: "base64"

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

                  • type: "inline"

                    Defines an inline skill for this request.

            • local_environment: object { type, skills }

              • type: "local"

                Use a local computer environment.

              • 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.

            • container_reference: object { container_id, type }

              • container_id: string

                The ID of the referenced container.

              • type: "container_reference"

                References a container created with the /v1/containers endpoint

        • custom_tool: object { name, type, defer_loading, 2 more }

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

          • name: string

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

          • type: "custom"

            The type of the custom tool. Always custom.

          • defer_loading: optional boolean

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

          • description: optional string

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

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

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

            • text: object { type }

              Unconstrained free-form text.

            • grammar: object { definition, syntax, type }

              A grammar defined by the user.

              • definition: string

                The grammar definition.

              • syntax: "lark" or "regex"

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

                • "lark"

                • "regex"

              • type: "grammar"

                Grammar format. Always grammar.

        • namespace_tool: object { description, name, tools, type }

          Groups function/custom tools under a shared namespace.

          • description: string

            A description of the namespace shown to the model.

          • name: string

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

          • tools: array of object { name, type, defer_loading, 3 more } or CustomTool

            The function/custom tools available inside this namespace.

            • function: object { name, type, defer_loading, 3 more }

              • name: string

              • type: "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_tool: object { name, type, defer_loading, 2 more }

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

              • name: string

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

              • type: "custom"

                The type of the custom tool. Always custom.

              • defer_loading: optional boolean

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

              • description: optional string

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

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

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

          • type: "namespace"

            The type of the tool. Always namespace.

        • tool_search_tool: object { type, description, execution, parameters }

          Hosted or BYOT tool search configuration for deferred tools.

          • type: "tool_search"

            The type of the tool. Always tool_search.

          • description: optional string

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

          • execution: optional "server" or "client"

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

            • "server"

            • "client"

          • parameters: optional unknown

            Parameter schema for a client-executed tool search tool.

        • web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

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

          • type: "web_search_preview" or "web_search_preview_2025_03_11"

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

            • "web_search_preview"

            • "web_search_preview_2025_03_11"

          • search_content_types: optional array of "text" or "image"

            • "text"

            • "image"

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

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

            • "low"

            • "medium"

            • "high"

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

            The user's location.

            • type: "approximate"

              The type of location approximation. Always approximate.

            • city: optional string

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

            • country: optional string

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

            • region: optional string

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

            • timezone: optional string

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

        • apply_patch_tool: 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.

      • type: "tool_search_output"

        The type of the item. Always tool_search_output.

      • created_by: optional string

        The identifier of the actor that created the item.

    • additional_tools: object { id, role, tools, type }

      • id: string

        The unique ID of the additional tools item.

      • role: "unknown" or "user" or "assistant" or 5 more

        The role that provided the additional tools.

        • "unknown"

        • "user"

        • "assistant"

        • "system"

        • "critic"

        • "discriminator"

        • "developer"

        • "tool"

      • tools: array of Tool

        The additional tool definitions made available at this item.

        • function_tool: object { name, parameters, strict, 3 more }

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

        • file_search_tool: object { type, vector_store_ids, filters, 2 more }

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

        • computer_tool: object { type }

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

        • computer_use_preview_tool: object { display_height, display_width, environment, type }

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

        • web_search_tool: object { type, filters, search_context_size, user_location }

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

        • mcp: object { server_label, type, allowed_tools, 8 more }

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

        • code_interpreter: object { container, type }

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

        • image_generation: object { type, action, background, 9 more }

          A tool that generates images using the GPT image models.

        • local_shell: object { type }

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

        • function_shell_tool: object { type, environment }

          A tool that allows the model to execute shell commands.

        • custom_tool: object { name, type, defer_loading, 2 more }

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

        • namespace_tool: object { description, name, tools, type }

          Groups function/custom tools under a shared namespace.

        • tool_search_tool: object { type, description, execution, parameters }

          Hosted or BYOT tool search configuration for deferred tools.

        • web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

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

        • apply_patch_tool: object { type }

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

      • type: "additional_tools"

        The type of the item. Always additional_tools.

    • response_reasoning_item: 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.

      • id: string

        The unique identifier of the reasoning content.

      • summary: array of object { text, type }

        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.

      • type: "reasoning"

        The type of the object. Always 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.

      • 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"

    • response_compaction_item: object { id, encrypted_content, type, created_by }

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

      • id: string

        The unique ID of the compaction item.

      • encrypted_content: string

        The encrypted content that was produced by compaction.

      • type: "compaction"

        The type of the item. Always compaction.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_code_interpreter_tool_call: 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.

        • image: object { type, url }

          The image output from the code interpreter.

          • type: "image"

            The type of the output. Always 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.

    • local_shell_call: 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.

        • 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_output: 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.

      • status: optional "in_progress" or "completed" or "incomplete"

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

        • "in_progress"

        • "completed"

        • "incomplete"

    • response_function_shell_tool_call: object { id, action, call_id, 4 more }

      A tool call that executes one or more shell commands in a managed environment.

      • id: string

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

      • 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

        • max_output_length: number

          Optional maximum number of characters to return from each command.

        • timeout_ms: number

          Optional timeout in milliseconds for the commands.

      • call_id: string

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

      • environment: ResponseLocalEnvironment or ResponseContainerReference

        Represents the use of a local environment to perform shell actions.

        • response_local_environment: object { type }

          Represents the use of a local environment to perform shell actions.

          • type: "local"

            The environment type. Always local.

        • response_container_reference: object { container_id, type }

          Represents a container created with /v1/containers.

          • container_id: string

          • type: "container_reference"

            The environment type. Always container_reference.

      • status: "in_progress" or "completed" or "incomplete"

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

        • "in_progress"

        • "completed"

        • "incomplete"

      • type: "shell_call"

        The type of the item. Always shell_call.

      • created_by: optional string

        The ID of the entity that created this tool call.

    • response_function_shell_tool_call_output: object { id, call_id, max_output_length, 4 more }

      The output of a shell tool call that was emitted.

      • id: string

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

      • call_id: string

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

      • max_output_length: number

        The maximum length of the shell command output. This is generated by the model and should be passed back with the raw output.

      • output: array of object { outcome, stderr, stdout, created_by }

        An array of shell call output contents

        • outcome: object { type } or object { exit_code, type }

          Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.

          • timeout: object { type }

            Indicates that the shell call exceeded its configured time limit.

          • exit: object { exit_code, type }

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

            • exit_code: number

              Exit code from the shell process.

            • type: "exit"

              The outcome type. Always exit.

        • stderr: string

          The standard error output that was captured.

        • stdout: string

          The standard output that was captured.

        • created_by: optional string

          The identifier of the actor that created the item.

      • status: "in_progress" or "completed" or "incomplete"

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

        • "in_progress"

        • "completed"

        • "incomplete"

      • type: "shell_call_output"

        The type of the shell call output. Always shell_call_output.

      • created_by: optional string

        The identifier of the actor that created the item.

    • response_apply_patch_tool_call: object { id, call_id, operation, 3 more }

      A tool call that applies file diffs by creating, deleting, or updating files.

      • id: string

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

      • 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 }

        One of the create_file, delete_file, or update_file operations applied via apply_patch.

        • create_file: object { diff, path, type }

          Instruction describing how to create a file via the apply_patch tool.

          • diff: string

            Diff to apply.

          • path: string

            Path of the file to create.

          • type: "create_file"

            Create a new file with the provided diff.

        • delete_file: object { path, type }

          Instruction describing how to delete a file via the apply_patch tool.

          • path: string

            Path of the file to delete.

          • type: "delete_file"

            Delete the specified file.

        • update_file: object { diff, path, type }

          Instruction describing how to update a file via the apply_patch tool.

          • diff: string

            Diff to apply.

          • path: string

            Path of the file to update.

          • type: "update_file"

            Update an existing file with the provided diff.

      • 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.

      • created_by: optional string

        The ID of the entity that created this tool call.

    • response_apply_patch_tool_call_output: object { id, call_id, status, 3 more }

      The output emitted by an apply patch tool call.

      • id: string

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

      • 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.

      • created_by: optional string

        The ID of the entity that created this tool call output.

      • output: optional string

        Optional textual output returned by the apply patch tool.

    • mcp_list_tools: 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.

      • error: optional string

        Error message if the server could not list tools.

    • mcp_approval_request: 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_response: object { id, approval_request_id, approve, 2 more }

      A response to an MCP approval request.

      • id: string

        The unique ID of the approval response

      • 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.

      • reason: optional string

        Optional reason for the decision.

    • mcp_call: 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.

      • 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"

    • response_custom_tool_call: 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.

      • 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.

    • response_custom_tool_call_output: 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.

        • string output: string

          A string of the output of the custom tool call.

        • output content list: array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

          • response_input_text: object { text, type }

            A text input to the model.

          • response_input_image: object { detail, type, file_id, image_url }

            An image input to the model. Learn about image inputs.

          • response_input_file: 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.

      • id: optional string

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

  • first_id: string

    The ID of the first item in the list.

  • has_more: boolean

    Whether there are more items available.

  • last_id: string

    The ID of the last item in the list.

  • object: "list"

    The type of object returned, must be list.

Example

openai conversations:items list \
  --api-key 'My API Key' \
  --conversation-id conv_123

Response

{
  "data": [
    {
      "id": "id",
      "content": [
        {
          "text": "text",
          "type": "input_text"
        }
      ],
      "role": "unknown",
      "status": "in_progress",
      "type": "message",
      "phase": "commentary"
    }
  ],
  "first_id": "first_id",
  "has_more": true,
  "last_id": "last_id",
  "object": "list"
}

Retrieve an item

$ openai conversations:items retrieve

get /conversations/{conversation_id}/items/{item_id}

Get a single item from a conversation with the given IDs.

Parameters

• --conversation-id: string

  The ID of the conversation that contains the item.

• --item-id: string

  The ID of the item to retrieve.

• --include: optional array of ResponseIncludable

  Additional fields to include in the response. See the include parameter for listing Conversation items above for more information.

Returns

• conversation_item: Message or ResponseFunctionToolCallItem or ResponseFunctionToolCallOutputItem or 23 more

  A single item within a conversation. The set of possible types are the same as the output type of a Response object.

  • message: object { id, content, role, 3 more }

    A message to or from the model.

    • id: string

      The unique ID of the message.

    • content: array of ResponseInputText or ResponseOutputText or TextContent or 6 more

      The content of the message

      • response_input_text: 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.

      • response_output_text: object { annotations, text, type, logprobs }

        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.

          • file_citation: 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.

          • url_citation: 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: string

              The URL of the web resource.

          • container_file_citation: 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.

          • file_path: 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.

        • text: string

          The text output from the model.

        • type: "output_text"

          The type of the output text. Always output_text.

        • logprobs: optional 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_content: object { text, type }

        A text content.

        • text: string

        • type: "text"

      • summary_text_content: object { text, type }

        A summary text from the model.

        • text: string

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

        • type: "summary_text"

          The type of the object. Always summary_text.

      • reasoning_text: object { text, type }

        Reasoning text from the model.

        • text: string

          The reasoning text from the model.

        • type: "reasoning_text"

          The type of the reasoning text. Always reasoning_text.

      • response_output_refusal: 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.

      • response_input_image: object { detail, type, file_id, image_url }

        An image input to the model. Learn about image inputs.

        • 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.

        • 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.

      • computer_screenshot_content: object { detail, file_id, image_url, type }

        A screenshot of a computer.

        • detail: "low" or "high" or "auto" or "original"

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

          • "low"

          • "high"

          • "auto"

          • "original"

        • file_id: string

          The identifier of an uploaded file that contains the screenshot.

        • image_url: string

          The URL of the screenshot image.

        • type: "computer_screenshot"

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

      • response_input_file: 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.

        • 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: "unknown" or "user" or "assistant" or 5 more

      The role of the message. One of unknown, user, assistant, system, critic, discriminator, developer, or tool.

      • "unknown"

      • "user"

      • "assistant"

      • "system"

      • "critic"

      • "discriminator"

      • "developer"

      • "tool"

    • status: "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: "message"

      The type of the message. Always set to 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"

  • response_function_tool_call_item: ResponseFunctionToolCall

    A tool call to run a function. See the function calling guide for more information.

    • id: string

      The unique ID of the function tool call.

    • 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"

    • created_by: optional string

      The identifier of the actor that created the item.

  • response_function_tool_call_output_item: object { id, call_id, output, 3 more }

    • id: string

      The unique ID of the function call tool output.

    • call_id: string

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

    • output: string or array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

      • string output: string

        A string of the output of the function call.

      • output content list: array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

        • response_input_text: object { text, type }

          A text input to the model.

        • response_input_image: object { detail, type, file_id, image_url }

          An image input to the model. Learn about image inputs.

        • response_input_file: object { type, detail, file_data, 3 more }

          A file input to the model.

    • 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: "function_call_output"

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

    • created_by: optional string

      The identifier of the actor that created the item.

  • response_file_search_tool_call: object { id, queries, status, 2 more }

    The results of a file search tool call. See the file search guide 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.

    • 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.

        • union_member_0: string

        • union_member_1: number

        • union_member_2: 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.

  • response_function_web_search: object { id, action, status, type }

    The results of a web search tool call. See the web search guide for more information.

    • id: string

      The unique ID of the web search tool call.

    • action: object { type, queries, query, 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 { type, queries, query, sources }

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

        • type: "search"

          The action type.

        • queries: optional array of string

          The search queries.

        • query: optional string

          The search query.

        • sources: optional array of object { type, url }

          The sources used in the search.

          • type: "url"

            The type of source. Always url.

          • url: string

            The URL of the source.

      • open_page: object { type, url }

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

        • type: "open_page"

          The action type.

        • url: optional string

          The URL opened by the model.

      • find_in_page: 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.

        • 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.

  • image_generation_call: 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.

  • response_computer_tool_call: object { id, call_id, pending_safety_checks, 4 more }

    A tool call to a computer use tool. See the computer use guide 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 object { button, type, x, 2 more } or object { keys, type, x, y } or object { path, type, keys } or 6 more

      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.

        • 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.

      • double_click: 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.

        • 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.

        • 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.

      • 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.

        • 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.

      • 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.

        • 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.

      • wait: object { type }

        A wait action.

    • actions: optional array of ComputerAction

      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.

        • 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.

        • 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.

      • double_click: 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.

        • 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.

        • 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.

      • 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.

        • 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.

      • 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.

        • 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.

      • wait: object { type }

        A wait action.

  • response_computer_tool_call_output_item: object { id, call_id, output, 4 more }

    • id: string

      The unique ID of the computer call tool output.

    • call_id: string

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

    • output: object { type, file_id, image_url }

      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.

      • file_id: optional string

        The identifier of an uploaded file that contains the screenshot.

      • image_url: optional string

        The URL of the screenshot image.

    • status: "completed" or "incomplete" or "failed" or "in_progress"

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

      • "completed"

      • "incomplete"

      • "failed"

      • "in_progress"

    • type: "computer_call_output"

      The type of the computer tool call output. Always computer_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.

    • created_by: optional string

      The identifier of the actor that created the item.

  • response_tool_search_call: object { id, arguments, call_id, 4 more }

    • id: string

      The unique ID of the tool search call item.

    • arguments: unknown

      Arguments used for the tool search call.

    • call_id: string

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

    • execution: "server" or "client"

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

      • "server"

      • "client"

    • status: "in_progress" or "completed" or "incomplete"

      The status of the tool search call item that was recorded.

      • "in_progress"

      • "completed"

      • "incomplete"

    • type: "tool_search_call"

      The type of the item. Always tool_search_call.

    • created_by: optional string

      The identifier of the actor that created the item.

  • response_tool_search_output_item: object { id, call_id, execution, 4 more }

    • id: string

      The unique ID of the tool search output item.

    • call_id: string

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

    • execution: "server" or "client"

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

      • "server"

      • "client"

    • status: "in_progress" or "completed" or "incomplete"

      The status of the tool search output item that was recorded.

      • "in_progress"

      • "completed"

      • "incomplete"

    • tools: array of Tool

      The loaded tool definitions returned by tool search.

      • function_tool: object { name, parameters, strict, 3 more }

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

        • name: string

          The name of the function to call.

        • parameters: map[unknown]

          A JSON schema object describing the parameters of the function.

        • strict: boolean

          Whether to enforce strict parameter validation. Default true.

        • type: "function"

          The type of the function tool. Always 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.

      • file_search_tool: object { type, vector_store_ids, filters, 2 more }

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

        • type: "file_search"

          The type of the file search tool. Always file_search.

        • vector_store_ids: array of string

          The IDs of the vector stores to search.

        • filters: optional ComparisonFilter or CompoundFilter

          A filter to apply.

          • comparison_filter: object { key, type, value }

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

            • key: string

              The key to compare against the value.

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

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

              • eq: equals

              • ne: not equal

              • gt: greater than

              • gte: greater than or equal

              • lt: less than

              • lte: less than or equal

              • in: in

              • nin: not in

              • "eq"

              • "ne"

              • "gt"

              • "gte"

              • "lt"

              • "lte"

              • "in"

              • "nin"

            • value: string or number or boolean or array of string or number

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

              • union_member_0: string

              • union_member_1: number

              • union_member_2: boolean

              • union_member_3: array of string or number

                • union_member_0: string

                • union_member_1: number

          • compound_filter: object { filters, type }

            Combine multiple filters using and or or.

            • filters: array of ComparisonFilter or unknown

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

              • comparison_filter: object { key, type, value }

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

              • union_member_1: unknown

            • type: "and" or "or"

              Type of operation: and or or.

              • "and"

              • "or"

        • max_num_results: optional number

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

        • ranking_options: optional object { hybrid_search, ranker, score_threshold }

          Ranking options for search.

          • 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_tool: object { type }

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

        • type: "computer"

          The type of the computer tool. Always computer.

      • computer_use_preview_tool: object { display_height, display_width, environment, type }

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

        • display_height: number

          The height of the computer display.

        • display_width: number

          The width of the computer display.

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

          The type of computer environment to control.

          • "windows"

          • "mac"

          • "linux"

          • "ubuntu"

          • "browser"

        • type: "computer_use_preview"

          The type of the computer use tool. Always computer_use_preview.

      • web_search_tool: object { type, filters, search_context_size, user_location }

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

        • type: "web_search" or "web_search_2025_08_26"

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

          • "web_search"

          • "web_search_2025_08_26"

        • filters: optional object { allowed_domains }

          Filters for the search.

          • allowed_domains: optional array of string

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

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

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

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

          • "low"

          • "medium"

          • "high"

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

          The approximate location of the user.

          • city: optional string

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

          • country: optional string

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

          • region: optional string

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

          • timezone: optional string

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

          • type: optional "approximate"

            The type of location approximation. Always approximate.

            • "approximate"

      • mcp: object { server_label, type, allowed_tools, 8 more }

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

        • server_label: string

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

        • type: "mcp"

          The type of the MCP tool. Always mcp.

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

          List of allowed tool names or a filter object.

          • MCP allowed tools: array of string

            A string array of allowed tool names

          • MCP tool filter: object { read_only, tool_names }

            A filter object to specify which tools are allowed.

            • read_only: optional boolean

              Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

            • tool_names: optional array of string

              List of allowed tool names.

        • authorization: optional string

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

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

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

          Currently supported connector_id values are:

          • Dropbox: connector_dropbox

          • Gmail: connector_gmail

          • Google Calendar: connector_googlecalendar

          • Google Drive: connector_googledrive

          • Microsoft Teams: connector_microsoftteams

          • Outlook Calendar: connector_outlookcalendar

          • Outlook Email: connector_outlookemail

          • SharePoint: connector_sharepoint

          • "connector_dropbox"

          • "connector_gmail"

          • "connector_googlecalendar"

          • "connector_googledrive"

          • "connector_microsoftteams"

          • "connector_outlookcalendar"

          • "connector_outlookemail"

          • "connector_sharepoint"

        • defer_loading: optional boolean

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

        • headers: optional map[string]

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

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

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

          • MCP tool approval filter: object { always, never }

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

            • always: optional object { read_only, tool_names }

              A filter object to specify which tools are allowed.

              • read_only: optional boolean

                Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

              • tool_names: optional array of string

                List of allowed tool names.

            • never: optional object { read_only, tool_names }

              A filter object to specify which tools are allowed.

              • read_only: optional boolean

                Indicates whether or not a tool modifies data or is read-only. If an MCP server is annotated with readOnlyHint, it will match this filter.

              • tool_names: optional array of string

                List of allowed tool names.

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

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

            • "always"

            • "never"

        • server_description: optional string

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

        • server_url: optional string

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

        • tunnel_id: optional string

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

      • code_interpreter: object { container, type }

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

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

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

          • union_member_0: string

            The container ID.

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

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

            • type: "auto"

              Always auto.

            • file_ids: optional array of string

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

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

              The memory limit for the code interpreter container.

              • "1g"

              • "4g"

              • "16g"

              • "64g"

            • network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist

              Network access policy for the container.

              • container_network_policy_disabled: object { type }

                • type: "disabled"

                  Disable outbound network access. Always disabled.

              • container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }

                • allowed_domains: array of string

                  A list of allowed domains when type is allowlist.

                • type: "allowlist"

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

                • domain_secrets: optional array of 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.

      • image_generation: object { type, action, background, 9 more }

        A tool that generates images using the GPT image models.

        • type: "image_generation"

          The type of the image generation tool. Always image_generation.

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

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

          • "generate"

          • "edit"

          • "auto"

        • background: optional "transparent" or "opaque" or "auto"

          Allows to set transparency for the background of the generated image(s). This parameter is only supported for GPT image models that support transparent backgrounds. Must be one of transparent, opaque, or auto (default value). When auto is used, the model will automatically determine the best background for the image.

          gpt-image-2 and gpt-image-2-2026-04-21 do not support transparent backgrounds. Requests with background set to transparent will return an error for these models; use opaque or auto instead.

          If transparent, the output format needs to support transparency, so it should be set to either png (default value) or webp.

          • "transparent"

          • "opaque"

          • "auto"

        • input_fidelity: optional "high" or "low"

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

          • "high"

          • "low"

        • input_image_mask: optional object { file_id, image_url }

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

          • file_id: optional string

            File ID for the mask image.

          • image_url: optional string

            Base64-encoded mask image.

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

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

          • "gpt-image-1"

          • "gpt-image-1-mini"

          • "gpt-image-2"

          • "gpt-image-2-2026-04-21"

          • "gpt-image-1.5"

          • "chatgpt-image-latest"

        • moderation: optional "auto" or "low"

          Moderation level for the generated image. Default: auto.

          • "auto"

          • "low"

        • output_compression: optional number

          Compression level for the output image. Default: 100.

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

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

          • "png"

          • "webp"

          • "jpeg"

        • partial_images: optional number

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

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

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

          • "low"

          • "medium"

          • "high"

          • "auto"

        • size: optional string or "1024x1024" or "1024x1536" or "1536x1024" or "auto"

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

          • "1024x1024"

          • "1024x1536"

          • "1536x1024"

          • "auto"

      • local_shell: object { type }

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

      • function_shell_tool: object { type, environment }

        A tool that allows the model to execute shell commands.

        • type: "shell"

          The type of the shell tool. Always shell.

        • environment: optional ContainerAuto or LocalEnvironment or ContainerReference

          • container_auto: object { type, file_ids, memory_limit, 2 more }

            • type: "container_auto"

              Automatically creates a container for this request

            • file_ids: optional array of string

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

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

              The memory limit for the container.

              • "1g"

              • "4g"

              • "16g"

              • "64g"

            • network_policy: optional ContainerNetworkPolicyDisabled or ContainerNetworkPolicyAllowlist

              Network access policy for the container.

              • container_network_policy_disabled: object { type }

              • container_network_policy_allowlist: object { allowed_domains, type, domain_secrets }

            • skills: optional array of SkillReference or InlineSkill

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

              • skill_reference: object { skill_id, type, version }

                • skill_id: string

                  The ID of the referenced skill.

                • type: "skill_reference"

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

                • version: optional string

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

              • inline_skill: object { description, name, source, type }

                • description: string

                  The description of the skill.

                • name: string

                  The name of the skill.

                • source: object { data, media_type, type }

                  Inline skill payload

                  • data: string

                    Base64-encoded skill zip bundle.

                  • media_type: "application/zip"

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

                  • type: "base64"

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

                • type: "inline"

                  Defines an inline skill for this request.

          • local_environment: object { type, skills }

            • type: "local"

              Use a local computer environment.

            • 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.

          • container_reference: object { container_id, type }

            • container_id: string

              The ID of the referenced container.

            • type: "container_reference"

              References a container created with the /v1/containers endpoint

      • custom_tool: object { name, type, defer_loading, 2 more }

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

        • name: string

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

        • type: "custom"

          The type of the custom tool. Always custom.

        • defer_loading: optional boolean

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

        • description: optional string

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

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

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

          • text: object { type }

            Unconstrained free-form text.

          • grammar: object { definition, syntax, type }

            A grammar defined by the user.

            • definition: string

              The grammar definition.

            • syntax: "lark" or "regex"

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

              • "lark"

              • "regex"

            • type: "grammar"

              Grammar format. Always grammar.

      • namespace_tool: object { description, name, tools, type }

        Groups function/custom tools under a shared namespace.

        • description: string

          A description of the namespace shown to the model.

        • name: string

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

        • tools: array of object { name, type, defer_loading, 3 more } or CustomTool

          The function/custom tools available inside this namespace.

          • function: object { name, type, defer_loading, 3 more }

            • name: string

            • type: "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_tool: object { name, type, defer_loading, 2 more }

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

            • name: string

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

            • type: "custom"

              The type of the custom tool. Always custom.

            • defer_loading: optional boolean

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

            • description: optional string

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

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

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

        • type: "namespace"

          The type of the tool. Always namespace.

      • tool_search_tool: object { type, description, execution, parameters }

        Hosted or BYOT tool search configuration for deferred tools.

        • type: "tool_search"

          The type of the tool. Always tool_search.

        • description: optional string

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

        • execution: optional "server" or "client"

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

          • "server"

          • "client"

        • parameters: optional unknown

          Parameter schema for a client-executed tool search tool.

      • web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

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

        • type: "web_search_preview" or "web_search_preview_2025_03_11"

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

          • "web_search_preview"

          • "web_search_preview_2025_03_11"

        • search_content_types: optional array of "text" or "image"

          • "text"

          • "image"

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

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

          • "low"

          • "medium"

          • "high"

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

          The user's location.

          • type: "approximate"

            The type of location approximation. Always approximate.

          • city: optional string

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

          • country: optional string

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

          • region: optional string

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

          • timezone: optional string

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

      • apply_patch_tool: 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.

    • type: "tool_search_output"

      The type of the item. Always tool_search_output.

    • created_by: optional string

      The identifier of the actor that created the item.

  • additional_tools: object { id, role, tools, type }

    • id: string

      The unique ID of the additional tools item.

    • role: "unknown" or "user" or "assistant" or 5 more

      The role that provided the additional tools.

      • "unknown"

      • "user"

      • "assistant"

      • "system"

      • "critic"

      • "discriminator"

      • "developer"

      • "tool"

    • tools: array of Tool

      The additional tool definitions made available at this item.

      • function_tool: object { name, parameters, strict, 3 more }

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

      • file_search_tool: object { type, vector_store_ids, filters, 2 more }

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

      • computer_tool: object { type }

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

      • computer_use_preview_tool: object { display_height, display_width, environment, type }

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

      • web_search_tool: object { type, filters, search_context_size, user_location }

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

      • mcp: object { server_label, type, allowed_tools, 8 more }

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

      • code_interpreter: object { container, type }

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

      • image_generation: object { type, action, background, 9 more }

        A tool that generates images using the GPT image models.

      • local_shell: object { type }

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

      • function_shell_tool: object { type, environment }

        A tool that allows the model to execute shell commands.

      • custom_tool: object { name, type, defer_loading, 2 more }

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

      • namespace_tool: object { description, name, tools, type }

        Groups function/custom tools under a shared namespace.

      • tool_search_tool: object { type, description, execution, parameters }

        Hosted or BYOT tool search configuration for deferred tools.

      • web_search_preview_tool: object { type, search_content_types, search_context_size, user_location }

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

      • apply_patch_tool: object { type }

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

    • type: "additional_tools"

      The type of the item. Always additional_tools.

  • response_reasoning_item: 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.

    • id: string

      The unique identifier of the reasoning content.

    • summary: array of object { text, type }

      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.

    • type: "reasoning"

      The type of the object. Always 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.

    • 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"

  • response_compaction_item: object { id, encrypted_content, type, created_by }

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

    • id: string

      The unique ID of the compaction item.

    • encrypted_content: string

      The encrypted content that was produced by compaction.

    • type: "compaction"

      The type of the item. Always compaction.

    • created_by: optional string

      The identifier of the actor that created the item.

  • response_code_interpreter_tool_call: 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.

      • image: object { type, url }

        The image output from the code interpreter.

        • type: "image"

          The type of the output. Always 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.

  • local_shell_call: 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.

      • 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_output: 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.

    • status: optional "in_progress" or "completed" or "incomplete"

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

      • "in_progress"

      • "completed"

      • "incomplete"

  • response_function_shell_tool_call: object { id, action, call_id, 4 more }

    A tool call that executes one or more shell commands in a managed environment.

    • id: string

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

    • 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

      • max_output_length: number

        Optional maximum number of characters to return from each command.

      • timeout_ms: number

        Optional timeout in milliseconds for the commands.

    • call_id: string

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

    • environment: ResponseLocalEnvironment or ResponseContainerReference

      Represents the use of a local environment to perform shell actions.

      • response_local_environment: object { type }

        Represents the use of a local environment to perform shell actions.

        • type: "local"

          The environment type. Always local.

      • response_container_reference: object { container_id, type }

        Represents a container created with /v1/containers.

        • container_id: string

        • type: "container_reference"

          The environment type. Always container_reference.

    • status: "in_progress" or "completed" or "incomplete"

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

      • "in_progress"

      • "completed"

      • "incomplete"

    • type: "shell_call"

      The type of the item. Always shell_call.

    • created_by: optional string

      The ID of the entity that created this tool call.

  • response_function_shell_tool_call_output: object { id, call_id, max_output_length, 4 more }

    The output of a shell tool call that was emitted.

    • id: string

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

    • call_id: string

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

    • max_output_length: number

      The maximum length of the shell command output. This is generated by the model and should be passed back with the raw output.

    • output: array of object { outcome, stderr, stdout, created_by }

      An array of shell call output contents

      • outcome: object { type } or object { exit_code, type }

        Represents either an exit outcome (with an exit code) or a timeout outcome for a shell call output chunk.

        • timeout: object { type }

          Indicates that the shell call exceeded its configured time limit.

        • exit: object { exit_code, type }

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

          • exit_code: number

            Exit code from the shell process.

          • type: "exit"

            The outcome type. Always exit.

      • stderr: string

        The standard error output that was captured.

      • stdout: string

        The standard output that was captured.

      • created_by: optional string

        The identifier of the actor that created the item.

    • status: "in_progress" or "completed" or "incomplete"

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

      • "in_progress"

      • "completed"

      • "incomplete"

    • type: "shell_call_output"

      The type of the shell call output. Always shell_call_output.

    • created_by: optional string

      The identifier of the actor that created the item.

  • response_apply_patch_tool_call: object { id, call_id, operation, 3 more }

    A tool call that applies file diffs by creating, deleting, or updating files.

    • id: string

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

    • 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 }

      One of the create_file, delete_file, or update_file operations applied via apply_patch.

      • create_file: object { diff, path, type }

        Instruction describing how to create a file via the apply_patch tool.

        • diff: string

          Diff to apply.

        • path: string

          Path of the file to create.

        • type: "create_file"

          Create a new file with the provided diff.

      • delete_file: object { path, type }

        Instruction describing how to delete a file via the apply_patch tool.

        • path: string

          Path of the file to delete.

        • type: "delete_file"

          Delete the specified file.

      • update_file: object { diff, path, type }

        Instruction describing how to update a file via the apply_patch tool.

        • diff: string

          Diff to apply.

        • path: string

          Path of the file to update.

        • type: "update_file"

          Update an existing file with the provided diff.

    • 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.

    • created_by: optional string

      The ID of the entity that created this tool call.

  • response_apply_patch_tool_call_output: object { id, call_id, status, 3 more }

    The output emitted by an apply patch tool call.

    • id: string

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

    • 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.

    • created_by: optional string

      The ID of the entity that created this tool call output.

    • output: optional string

      Optional textual output returned by the apply patch tool.

  • mcp_list_tools: 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.

    • error: optional string

      Error message if the server could not list tools.

  • mcp_approval_request: 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_response: object { id, approval_request_id, approve, 2 more }

    A response to an MCP approval request.

    • id: string

      The unique ID of the approval response

    • 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.

    • reason: optional string

      Optional reason for the decision.

  • mcp_call: 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.

    • 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"

  • response_custom_tool_call: 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.

    • 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.

  • response_custom_tool_call_output: 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.

      • string output: string

        A string of the output of the custom tool call.

      • output content list: array of ResponseInputText or ResponseInputImage or ResponseInputFile

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

        • response_input_text: object { text, type }

          A text input to the model.

        • response_input_image: object { detail, type, file_id, image_url }

          An image input to the model. Learn about image inputs.

        • response_input_file: 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.

    • id: optional string

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