diff --git a/en/cli/resources/responses/methods/create/index.md b/en/cli/resources/responses/methods/create/index.md new file mode 100644 index 0000000..bc1f583 --- /dev/null +++ b/en/cli/resources/responses/methods/create/index.md @@ -0,0 +1,5403 @@ +## Create a model response + +`$ openai responses create` + +**post** `/responses` + +Creates a model response. Provide [text](https://platform.openai.com/docs/guides/text) or +[image](https://platform.openai.com/docs/guides/images) inputs to generate [text](https://platform.openai.com/docs/guides/text) +or [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have the model call +your own [custom code](https://platform.openai.com/docs/guides/function-calling) or use built-in +[tools](https://platform.openai.com/docs/guides/tools) like [web search](https://platform.openai.com/docs/guides/tools-web-search) +or [file search](https://platform.openai.com/docs/guides/tools-file-search) to use your own data +as input for the model's response. + +### Parameters + +- `--background: optional boolean` + + Whether to run the model response in the background. + [Learn more](https://platform.openai.com/docs/guides/background). + +- `--context-management: optional array of object { type, compact_threshold }` + + Context management configuration for this request. + +- `--conversation: optional string or ResponseConversationParam` + + The conversation that this response belongs to. Items from this conversation are prepended to `input_items` for this response request. + Input items and output items from this response are automatically added to this conversation after this response completes. + +- `--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). + +- `--input: optional string or ResponseInput` + + Text, image, or file inputs to the model, used to generate a response. + + Learn more: + + - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + - [Image inputs](https://platform.openai.com/docs/guides/images) + - [File inputs](https://platform.openai.com/docs/guides/pdf-files) + - [Conversation state](https://platform.openai.com/docs/guides/conversation-state) + - [Function calling](https://platform.openai.com/docs/guides/function-calling) + +- `--instructions: optional string` + + A system (or developer) message inserted into the model's context. + + When using along with `previous_response_id`, the instructions from a previous + response will not be carried over to the next response. This makes it simple + to swap out system (or developer) messages in new responses. + +- `--max-output-tokens: optional number` + + An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). + +- `--max-tool-calls: optional number` + + The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. + +- `--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. + +- `--model: optional string or ChatModel or "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 11 more` + + Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI + offers a wide range of models with different capabilities, performance + characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) + to browse and compare available models. + +- `--moderation: optional object { model }` + + Configuration for running moderation on the input and output of this response. + +- `--parallel-tool-calls: optional boolean` + + Whether to allow the model to run tool calls in parallel. + +- `--previous-response-id: optional string` + + The unique ID of the previous response to the model. Use this to + create multi-turn conversations. Learn more about + [conversation state](https://platform.openai.com/docs/guides/conversation-state). Cannot be used in conjunction with `conversation`. + +- `--prompt: optional object { id, variables, version }` + + Reference to a prompt template and its variables. + [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). + +- `--prompt-cache-key: optional string` + + Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the `user` field. [Learn more](https://platform.openai.com/docs/guides/prompt-caching). + +- `--prompt-cache-retention: optional "in_memory" or "24h"` + + The retention policy for the prompt cache. Set to `24h` to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. [Learn more](https://platform.openai.com/docs/guides/prompt-caching#prompt-cache-retention). + For `gpt-5.5`, `gpt-5.5-pro`, and future models, only `24h` is supported. + + For older models that support both `in_memory` and `24h`, the default depends on your organization's data retention policy: + + - Organizations without ZDR enabled default to `24h`. + - Organizations with ZDR enabled default to `in_memory` when `prompt_cache_retention` is not specified. + +- `--reasoning: optional object { effort, generate_summary, summary }` + + **gpt-5 and o-series models only** + + Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + +- `--safety-identifier: optional string` + + A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. + The IDs should be a string that uniquely identifies each user, with a maximum length of 64 characters. We recommend hashing their username or email address, in order to avoid sending us any identifying information. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). + +- `--service-tier: optional "auto" or "default" or "flex" or 2 more` + + Specifies the processing type used for serving the request. + + - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. + - If set to 'default', then the request will be processed with the standard pricing and performance for the selected model. + - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or '[priority](https://openai.com/api-priority-processing/)', then the request will be processed with the corresponding service tier. + - When not set, the default behavior is 'auto'. + + When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. + +- `--store: optional boolean` + + Whether to store the generated model response for later retrieval via + API. + +- `--stream-options: optional object { include_obfuscation }` + + Options for streaming responses. Only set this when you set `stream: true`. + +- `--temperature: optional number` + + What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. + We generally recommend altering this or `top_p` but not both. + +- `--text: optional object { format, verbosity }` + + Configuration options for a text response from the model. Can be plain + text or structured JSON data. Learn more: + + - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + +- `--tool-choice: optional ToolChoiceOptions or ToolChoiceAllowed or ToolChoiceTypes or 5 more` + + How the model should select which tool (or tools) to use when generating + a response. See the `tools` parameter to see how to specify which tools + the model can call. + +- `--tool: optional array of Tool` + + An array of tools the model may call while generating a response. You + can specify which tool to use by setting the `tool_choice` parameter. + + We support the following categories of tools: + + - **Built-in tools**: Tools that are provided by OpenAI that extend the + model's capabilities, like [web search](https://platform.openai.com/docs/guides/tools-web-search) + or [file search](https://platform.openai.com/docs/guides/tools-file-search). Learn more about + [built-in tools](https://platform.openai.com/docs/guides/tools). + - **MCP Tools**: Integrations with third-party systems via custom MCP servers + or predefined connectors such as Google Drive and SharePoint. Learn more about + [MCP Tools](https://platform.openai.com/docs/guides/tools-connectors-mcp). + - **Function calls (custom tools)**: Functions that are defined by you, + enabling the model to call your own code with strongly typed arguments + and outputs. Learn more about + [function calling](https://platform.openai.com/docs/guides/function-calling). You can also use + custom tools to call your own code. + +- `--top-logprobs: optional number` + + An integer between 0 and 20 specifying the maximum number of most likely + tokens to return at each token position, each with an associated log + probability. In some cases, the number of returned tokens may be fewer than + requested. + +- `--top-p: optional number` + + An alternative to sampling with temperature, called nucleus sampling, + where the model considers the results of the tokens with top_p probability + mass. So 0.1 means only the tokens comprising the top 10% probability mass + are considered. + + We generally recommend altering this or `temperature` but not both. + +- `--truncation: optional "auto" or "disabled"` + + The truncation strategy to use for the model response. + + - `auto`: If the input to this Response exceeds + the model's context window size, the model will truncate the + response to fit the context window by dropping items from the beginning of the conversation. + - `disabled` (default): If the input size will exceed the context window + size for a model, the request will fail with a 400 error. + +- `--user: optional string` + + This field is being replaced by `safety_identifier` and `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching optimizations. + A stable identifier for your end-users. + Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). + +### Returns + +- `response: object { id, created_at, error, 30 more }` + + - `id: string` + + Unique identifier for this Response. + + - `created_at: number` + + Unix timestamp (in seconds) of when this Response was created. + + - `error: object { code, message }` + + An error object returned when the model fails to generate a Response. + + - `code: "server_error" or "rate_limit_exceeded" or "invalid_prompt" or 15 more` + + The error code for the response. + + - `"server_error"` + + - `"rate_limit_exceeded"` + + - `"invalid_prompt"` + + - `"vector_store_timeout"` + + - `"invalid_image"` + + - `"invalid_image_format"` + + - `"invalid_base64_image"` + + - `"invalid_image_url"` + + - `"image_too_large"` + + - `"image_too_small"` + + - `"image_parse_error"` + + - `"image_content_policy_violation"` + + - `"invalid_image_mode"` + + - `"image_file_too_large"` + + - `"unsupported_image_media_type"` + + - `"empty_image_file"` + + - `"failed_to_download_image"` + + - `"image_file_not_found"` + + - `message: string` + + A human-readable description of the error. + + - `incomplete_details: object { reason }` + + Details about why the response is incomplete. + + - `reason: optional "max_output_tokens" or "content_filter"` + + The reason why the response is incomplete. + + - `"max_output_tokens"` + + - `"content_filter"` + + - `instructions: string or array of ResponseInputItem` + + A system (or developer) message inserted into the model's context. + + When using along with `previous_response_id`, the instructions from a previous + response will not be carried over to the next response. This makes it simple + to swap out system (or developer) messages in new responses. + + - `union_member_0: string` + + A text input to the model, equivalent to a text input with the + `developer` role. + + - `Input item list: array of ResponseInputItem` + + A list of one or many input items to the model, containing + different content types. + + - `easy_input_message: object { content, role, phase, type }` + + A message input to the model with a role indicating instruction following + hierarchy. Instructions given with the `developer` or `system` role take + precedence over instructions given with the `user` role. Messages with the + `assistant` role are presumed to have been generated by the model in previous + interactions. + + - `content: string or ResponseInputMessageContentList` + + Text, image, or audio input to the model, used to generate a response. + Can also contain previous assistant responses. + + - `Text input: string` + + A text input to the model. + + - `response_input_message_content_list: array of ResponseInputContent` + + A list of one or many input items to the model, containing different content + types. + + - `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_input_image: object { detail, type, file_id, image_url }` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `detail: "low" or "high" or "auto" or "original"` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `"low"` + + - `"high"` + + - `"auto"` + + - `"original"` + + - `type: "input_image"` + + The type of the input item. Always `input_image`. + + - `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. + + - `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: "user" or "assistant" or "system" or "developer"` + + The role of the message input. One of `user`, `assistant`, `system`, or + `developer`. + + - `"user"` + + - `"assistant"` + + - `"system"` + + - `"developer"` + + - `phase: optional "commentary" or "final_answer"` + + Labels an `assistant` message as intermediate commentary (`commentary`) or the final answer (`final_answer`). + For models like `gpt-5.3-codex` and beyond, when sending follow-up requests, preserve and resend + phase on all assistant messages — dropping it can degrade performance. Not used for user messages. + + - `"commentary"` + + - `"final_answer"` + + - `type: optional "message"` + + The type of the message input. Always `message`. + + - `"message"` + + - `message: object { content, role, status, type }` + + A message input to the model with a role indicating instruction following + hierarchy. Instructions given with the `developer` or `system` role take + precedence over instructions given with the `user` role. + + - `content: array of ResponseInputContent` + + A list of one or many input items to the model, containing different content + types. + + - `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](https://platform.openai.com/docs/guides/vision). + + - `response_input_file: object { type, detail, file_data, 3 more }` + + A file input to the model. + + - `role: "user" or "system" or "developer"` + + The role of the message input. One of `user`, `system`, or `developer`. + + - `"user"` + + - `"system"` + + - `"developer"` + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `type: optional "message"` + + The type of the message input. Always set to `message`. + + - `"message"` + + - `response_output_message: object { id, content, role, 3 more }` + + An output message from the model. + + - `id: string` + + The unique ID of the output message. + + - `content: array of ResponseOutputText or ResponseOutputRefusal` + + The content of the output message. + + - `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` + + - `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`. + + - `role: "assistant"` + + The role of the output message. Always `assistant`. + + - `status: "in_progress" or "completed" or "incomplete"` + + The status of the message input. One of `in_progress`, `completed`, or + `incomplete`. Populated when input items are returned via API. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `type: "message"` + + The type of the output message. Always `message`. + + - `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_file_search_tool_call: object { id, queries, status, 2 more }` + + The results of a file search tool call. See the + [file search guide](https://platform.openai.com/docs/guides/tools-file-search) for more information. + + - `id: string` + + The unique ID of the file search tool call. + + - `queries: array of string` + + The queries used to search for files. + + - `status: "in_progress" or "searching" or "completed" or 2 more` + + The status of the file search tool call. One of `in_progress`, + `searching`, `incomplete` or `failed`, + + - `"in_progress"` + + - `"searching"` + + - `"completed"` + + - `"incomplete"` + + - `"failed"` + + - `type: "file_search_call"` + + The type of the file search tool call. Always `file_search_call`. + + - `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_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](https://platform.openai.com/docs/guides/tools-computer-use) for more information. + + - `id: string` + + The unique ID of the computer call. + + - `call_id: string` + + An identifier used when responding to the tool call with output. + + - `pending_safety_checks: array of object { id, code, message }` + + The pending safety checks for the computer call. + + - `id: string` + + The ID of the pending safety check. + + - `code: optional string` + + The type of the pending safety check. + + - `message: optional string` + + Details about the pending safety check. + + - `status: "in_progress" or "completed" or "incomplete"` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `type: "computer_call"` + + The type of the computer call. Always `computer_call`. + + - `"computer_call"` + + - `action: optional 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. + + - `computer_call_output: object { call_id, output, type, 3 more }` + + The output of a computer tool call. + + - `call_id: string` + + The ID of the computer tool call that produced the output. + + - `output: 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. + + - `type: "computer_call_output"` + + The type of the computer tool call output. Always `computer_call_output`. + + - `id: optional string` + + The ID of the computer tool call output. + + - `acknowledged_safety_checks: optional array of object { id, code, message }` + + The safety checks reported by the API that have been acknowledged by the developer. + + - `id: string` + + The ID of the pending safety check. + + - `code: optional string` + + The type of the pending safety check. + + - `message: optional string` + + Details about the pending safety check. + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `response_function_web_search: object { id, action, status, type }` + + The results of a web search tool call. See the + [web search guide](https://platform.openai.com/docs/guides/tools-web-search) 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`. + + - `response_function_tool_call: object { arguments, call_id, name, 4 more }` + + A tool call to run a function. See the + [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. + + - `arguments: string` + + A JSON string of the arguments to pass to the function. + + - `call_id: string` + + The unique ID of the function tool call generated by the model. + + - `name: string` + + The name of the function to run. + + - `type: "function_call"` + + The type of the function tool call. Always `function_call`. + + - `id: optional string` + + The unique ID of the function tool call. + + - `namespace: optional string` + + The namespace of the function to run. + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `function_call_output: object { call_id, output, type, 2 more }` + + The output of a function tool call. + + - `call_id: string` + + The unique ID of the function tool call generated by the model. + + - `output: string or ResponseFunctionCallOutputItemList` + + Text, image, or file output of the function tool call. + + - `union_member_0: string` + + A JSON string of the output of the function tool call. + + - `response_function_call_output_item_list: array of ResponseFunctionCallOutputItem` + + An array of content outputs (text, image, file) for the function tool call. + + - `response_input_text_content: 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_input_image_content: object { type, detail, file_id, image_url }` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision) + + - `type: "input_image"` + + The type of the input item. Always `input_image`. + + - `detail: optional "low" or "high" or "auto" or "original"` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `"low"` + + - `"high"` + + - `"auto"` + + - `"original"` + + - `file_id: optional string` + + The ID of the file to be sent to the model. + + - `image_url: optional string` + + The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL. + + - `response_input_file_content: 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 base64-encoded data of the file to be sent to the model. + + - `file_id: optional string` + + The ID of the file to be sent to the model. + + - `file_url: optional string` + + The URL of the file to be sent to the model. + + - `filename: optional string` + + The name of the file to be sent to the model. + + - `type: "function_call_output"` + + The type of the function tool call output. Always `function_call_output`. + + - `id: optional string` + + The unique ID of the function tool call output. Populated when this item is returned via API. + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `tool_search_call: object { arguments, type, id, 3 more }` + + - `arguments: unknown` + + The arguments supplied to the tool search call. + + - `type: "tool_search_call"` + + The item type. Always `tool_search_call`. + + - `id: optional string` + + The unique ID of this tool search call. + + - `call_id: optional string` + + The unique ID of the tool search call generated by the model. + + - `execution: optional "server" or "client"` + + Whether tool search was executed by the server or by the client. + + - `"server"` + + - `"client"` + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the tool search call. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `response_tool_search_output_item_param: object { tools, type, id, 3 more }` + + - `tools: array of Tool` + + The loaded tool definitions returned by the tool search output. + + - `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](https://platform.openai.com/docs/guides/function-calling). + + - `name: string` + + The name of the function to call. + + - `parameters: map[unknown]` + + A JSON schema object describing the parameters of the function. + + - `strict: boolean` + + Whether to enforce strict parameter validation. Default `true`. + + - `type: "function"` + + The type of the function tool. Always `function`. + + - `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](https://platform.openai.com/docs/guides/tools-file-search). + + - `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](https://platform.openai.com/docs/guides/tools-computer-use). + + - `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](https://platform.openai.com/docs/guides/tools-computer-use). + + - `display_height: number` + + The height of the computer display. + + - `display_width: number` + + The width of the computer display. + + - `environment: "windows" or "mac" or "linux" or 2 more` + + The type of computer environment to control. + + - `"windows"` + + - `"mac"` + + - `"linux"` + + - `"ubuntu"` + + - `"browser"` + + - `type: "computer_use_preview"` + + The type of the computer use tool. Always `computer_use_preview`. + + - `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](https://platform.openai.com/docs/guides/tools-web-search). + + - `type: "web_search" or "web_search_2025_08_26"` + + The type of the web search tool. One of `web_search` or `web_search_2025_08_26`. + + - `"web_search"` + + - `"web_search_2025_08_26"` + + - `filters: optional object { allowed_domains }` + + Filters for the search. + + - `allowed_domains: optional array of string` + + Allowed domains for the search. If not provided, all domains are allowed. + Subdomains of the provided domains are allowed as well. + + Example: `["pubmed.ncbi.nlm.nih.gov"]` + + - `search_context_size: optional "low" or "medium" or "high"` + + High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default. + + - `"low"` + + - `"medium"` + + - `"high"` + + - `user_location: optional object { city, country, region, 2 more }` + + The approximate location of the user. + + - `city: optional string` + + Free text input for the city of the user, e.g. `San Francisco`. + + - `country: optional string` + + The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. + + - `region: optional string` + + Free text input for the region of the user, e.g. `California`. + + - `timezone: optional string` + + The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. + + - `type: optional "approximate"` + + The type of location approximation. Always `approximate`. + + - `"approximate"` + + - `mcp: object { server_label, type, allowed_tools, 7 more }` + + Give the model access to additional tools via remote Model Context Protocol + (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-mcp). + + - `server_label: string` + + A label for this MCP server, used to identify it in tool calls. + + - `type: "mcp"` + + The type of the MCP tool. Always `mcp`. + + - `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`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), + it will match this filter. + + - `tool_names: optional array of string` + + List of allowed tool names. + + - `authorization: optional string` + + An OAuth access token that can be used with a remote MCP server, either + with a custom MCP server URL or a service connector. Your application + must handle the OAuth authorization flow and provide the token here. + + - `connector_id: optional "connector_dropbox" or "connector_gmail" or "connector_googlecalendar" or 5 more` + + Identifier for service connectors, like those available in ChatGPT. One of + `server_url` or `connector_id` must be provided. Learn more about service + connectors [here](https://platform.openai.com/docs/guides/tools-remote-mcp#connectors). + + Currently supported `connector_id` values are: + + - Dropbox: `connector_dropbox` + - Gmail: `connector_gmail` + - Google Calendar: `connector_googlecalendar` + - Google Drive: `connector_googledrive` + - Microsoft Teams: `connector_microsoftteams` + - Outlook Calendar: `connector_outlookcalendar` + - Outlook Email: `connector_outlookemail` + - SharePoint: `connector_sharepoint` + + - `"connector_dropbox"` + + - `"connector_gmail"` + + - `"connector_googlecalendar"` + + - `"connector_googledrive"` + + - `"connector_microsoftteams"` + + - `"connector_outlookcalendar"` + + - `"connector_outlookemail"` + + - `"connector_sharepoint"` + + - `defer_loading: optional boolean` + + Whether this MCP tool is deferred and discovered via tool search. + + - `headers: optional map[string]` + + Optional HTTP headers to send to the MCP server. Use for authentication + or other purposes. + + - `require_approval: optional object { always, never } or "always" or "never"` + + Specify which of the MCP server's tools require approval. + + - `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`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), + it will match this filter. + + - `tool_names: optional array of string` + + List of allowed tool names. + + - `never: optional object { read_only, tool_names }` + + A filter object to specify which tools are allowed. + + - `read_only: optional boolean` + + Indicates whether or not a tool modifies data or is read-only. If an + MCP server is [annotated with `readOnlyHint`](https://modelcontextprotocol.io/specification/2025-06-18/schema#toolannotations-readonlyhint), + it will match this filter. + + - `tool_names: optional array of string` + + List of allowed tool names. + + - `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` or `connector_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](https://platform.openai.com/docs/guides/function-calling#custom-tools) + + - `name: string` + + The name of the custom tool, used to identify it in tool calls. + + - `type: "custom"` + + The type of the custom tool. Always `custom`. + + - `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](https://platform.openai.com/docs/guides/function-calling#custom-tools) + + - `name: string` + + The name of the custom tool, used to identify it in tool calls. + + - `type: "custom"` + + The type of the custom tool. Always `custom`. + + - `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](https://platform.openai.com/docs/guides/tools-web-search). + + - `type: "web_search_preview" or "web_search_preview_2025_03_11"` + + The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`. + + - `"web_search_preview"` + + - `"web_search_preview_2025_03_11"` + + - `search_content_types: optional array of "text" or "image"` + + - `"text"` + + - `"image"` + + - `search_context_size: optional "low" or "medium" or "high"` + + High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default. + + - `"low"` + + - `"medium"` + + - `"high"` + + - `user_location: optional object { type, city, country, 2 more }` + + The user's location. + + - `type: "approximate"` + + The type of location approximation. Always `approximate`. + + - `city: optional string` + + Free text input for the city of the user, e.g. `San Francisco`. + + - `country: optional string` + + The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`. + + - `region: optional string` + + Free text input for the region of the user, e.g. `California`. + + - `timezone: optional string` + + The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`. + + - `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 item type. Always `tool_search_output`. + + - `id: optional string` + + The unique ID of this tool search output. + + - `call_id: optional string` + + The unique ID of the tool search call generated by the model. + + - `execution: optional "server" or "client"` + + Whether tool search was executed by the server or by the client. + + - `"server"` + + - `"client"` + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the tool search output. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `additional_tools: object { role, tools, type, id }` + + - `role: "developer"` + + The role that provided the additional tools. Only `developer` is supported. + + - `tools: array of Tool` + + A list of additional tools 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](https://platform.openai.com/docs/guides/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](https://platform.openai.com/docs/guides/tools-file-search). + + - `computer_tool: object { type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `computer_use_preview_tool: object { display_height, display_width, environment, type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `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](https://platform.openai.com/docs/guides/tools-web-search). + + - `mcp: object { server_label, type, allowed_tools, 7 more }` + + Give the model access to additional tools via remote Model Context Protocol + (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-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](https://platform.openai.com/docs/guides/function-calling#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](https://platform.openai.com/docs/guides/tools-web-search). + + - `apply_patch_tool: object { type }` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `type: "additional_tools"` + + The item type. Always `additional_tools`. + + - `id: optional string` + + The unique ID of this additional tools item. + + - `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](https://platform.openai.com/docs/guides/conversation-state). + + - `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_param: object { encrypted_content, type, id }` + + A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). + + - `encrypted_content: string` + + The encrypted content of the compaction summary. + + - `type: "compaction"` + + The type of the item. Always `compaction`. + + - `id: optional string` + + The ID of the compaction item. + + - `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_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"` + + - `shell_call: object { action, call_id, type, 3 more }` + + A tool representing a request to execute one or more shell commands. + + - `action: object { commands, max_output_length, timeout_ms }` + + The shell commands and limits that describe how to run the tool call. + + - `commands: array of string` + + Ordered shell commands for the execution environment to run. + + - `max_output_length: optional number` + + Maximum number of UTF-8 characters to capture from combined stdout and stderr output. + + - `timeout_ms: optional number` + + Maximum wall-clock time in milliseconds to allow the shell commands to run. + + - `call_id: string` + + The unique ID of the shell tool call generated by the model. + + - `type: "shell_call"` + + The type of the item. Always `shell_call`. + + - `id: optional string` + + The unique ID of the shell tool call. Populated when this item is returned via API. + + - `environment: optional LocalEnvironment or ContainerReference` + + The environment to execute the shell commands in. + + - `local_environment: object { type, skills }` + + - `container_reference: object { container_id, type }` + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the shell call. One of `in_progress`, `completed`, or `incomplete`. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `shell_call_output: object { call_id, output, type, 3 more }` + + The streamed output items emitted by a shell tool call. + + - `call_id: string` + + The unique ID of the shell tool call generated by the model. + + - `output: array of ResponseFunctionShellCallOutputContent` + + Captured chunks of stdout and stderr output, along with their associated outcomes. + + - `outcome: object { type } or object { exit_code, type }` + + The exit or timeout outcome associated with this shell call. + + - `timeout: object { type }` + + Indicates that the shell call exceeded its configured time limit. + + - `exit: object { exit_code, type }` + + Indicates that the shell commands finished and returned an exit code. + + - `exit_code: number` + + The exit code returned by the shell process. + + - `type: "exit"` + + The outcome type. Always `exit`. + + - `stderr: string` + + Captured stderr output for the shell call. + + - `stdout: string` + + Captured stdout output for the shell call. + + - `type: "shell_call_output"` + + The type of the item. Always `shell_call_output`. + + - `id: optional string` + + The unique ID of the shell tool call output. Populated when this item is returned via API. + + - `max_output_length: optional number` + + The maximum number of UTF-8 characters captured for this shell call's combined output. + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the shell call output. + + - `"in_progress"` + + - `"completed"` + + - `"incomplete"` + + - `apply_patch_call: object { call_id, operation, status, 2 more }` + + A tool call representing a request to create, delete, or update files using diff patches. + + - `call_id: string` + + The unique ID of the apply patch tool call generated by the model. + + - `operation: object { diff, path, type } or object { path, type } or object { diff, path, type }` + + The specific create, delete, or update instruction for the apply_patch tool call. + + - `create_file: object { diff, path, type }` + + Instruction for creating a new file via the apply_patch tool. + + - `diff: string` + + Unified diff content to apply when creating the file. + + - `path: string` + + Path of the file to create relative to the workspace root. + + - `type: "create_file"` + + The operation type. Always `create_file`. + + - `delete_file: object { path, type }` + + Instruction for deleting an existing file via the apply_patch tool. + + - `path: string` + + Path of the file to delete relative to the workspace root. + + - `type: "delete_file"` + + The operation type. Always `delete_file`. + + - `update_file: object { diff, path, type }` + + Instruction for updating an existing file via the apply_patch tool. + + - `diff: string` + + Unified diff content to apply to the existing file. + + - `path: string` + + Path of the file to update relative to the workspace root. + + - `type: "update_file"` + + The operation type. Always `update_file`. + + - `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`. + + - `id: optional string` + + The unique ID of the apply patch tool call. Populated when this item is returned via API. + + - `apply_patch_call_output: object { call_id, status, type, 2 more }` + + The streamed output emitted by an apply patch tool call. + + - `call_id: string` + + The unique ID of the apply patch tool call generated by the model. + + - `status: "completed" or "failed"` + + The status of the apply patch tool call output. One of `completed` or `failed`. + + - `"completed"` + + - `"failed"` + + - `type: "apply_patch_call_output"` + + The type of the item. Always `apply_patch_call_output`. + + - `id: optional string` + + The unique ID of the apply patch tool call output. Populated when this item is returned via API. + + - `output: optional string` + + Optional human-readable log text from the apply patch tool (e.g., patch results or errors). + + - `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 { approval_request_id, approve, type, 2 more }` + + A response to an MCP approval request. + + - `approval_request_id: string` + + The ID of the approval request being answered. + + - `approve: boolean` + + Whether the request was approved. + + - `type: "mcp_approval_response"` + + The type of the item. Always `mcp_approval_response`. + + - `id: optional string` + + The unique ID of the 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_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. + + - `text: string` + + The text input to the model. + + - `type: "input_text"` + + The type of the input item. Always `input_text`. + + - `response_input_image: object { detail, type, file_id, image_url }` + + An image input to the model. Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + + - `detail: "low" or "high" or "auto" or "original"` + + The detail level of the image to be sent to the model. One of `high`, `low`, `auto`, or `original`. Defaults to `auto`. + + - `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. + + - `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`. + + - `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. + + - `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. + + - `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. + + - `compaction_trigger: object { type }` + + Compacts the current context. Must be the final input item. + + - `item_reference: object { id, type }` + + An internal identifier for an item to reference. + + - `id: string` + + The ID of the item to reference. + + - `type: optional "item_reference"` + + The type of item to reference. Always `item_reference`. + + - `"item_reference"` + + - `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. + + - `model: string or ChatModel or "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 11 more` + + Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI + offers a wide range of models with different capabilities, performance + characteristics, and price points. Refer to the [model guide](https://platform.openai.com/docs/models) + to browse and compare available models. + + - `union_member_0: string` + + - `chat_model: "gpt-5.4" or "gpt-5.4-mini" or "gpt-5.4-nano" or 75 more` + + - `"gpt-5.4"` + + - `"gpt-5.4-mini"` + + - `"gpt-5.4-nano"` + + - `"gpt-5.4-mini-2026-03-17"` + + - `"gpt-5.4-nano-2026-03-17"` + + - `"gpt-5.3-chat-latest"` + + - `"gpt-5.2"` + + - `"gpt-5.2-2025-12-11"` + + - `"gpt-5.2-chat-latest"` + + - `"gpt-5.2-pro"` + + - `"gpt-5.2-pro-2025-12-11"` + + - `"gpt-5.1"` + + - `"gpt-5.1-2025-11-13"` + + - `"gpt-5.1-codex"` + + - `"gpt-5.1-mini"` + + - `"gpt-5.1-chat-latest"` + + - `"gpt-5"` + + - `"gpt-5-mini"` + + - `"gpt-5-nano"` + + - `"gpt-5-2025-08-07"` + + - `"gpt-5-mini-2025-08-07"` + + - `"gpt-5-nano-2025-08-07"` + + - `"gpt-5-chat-latest"` + + - `"gpt-4.1"` + + - `"gpt-4.1-mini"` + + - `"gpt-4.1-nano"` + + - `"gpt-4.1-2025-04-14"` + + - `"gpt-4.1-mini-2025-04-14"` + + - `"gpt-4.1-nano-2025-04-14"` + + - `"o4-mini"` + + - `"o4-mini-2025-04-16"` + + - `"o3"` + + - `"o3-2025-04-16"` + + - `"o3-mini"` + + - `"o3-mini-2025-01-31"` + + - `"o1"` + + - `"o1-2024-12-17"` + + - `"o1-preview"` + + - `"o1-preview-2024-09-12"` + + - `"o1-mini"` + + - `"o1-mini-2024-09-12"` + + - `"gpt-4o"` + + - `"gpt-4o-2024-11-20"` + + - `"gpt-4o-2024-08-06"` + + - `"gpt-4o-2024-05-13"` + + - `"gpt-4o-audio-preview"` + + - `"gpt-4o-audio-preview-2024-10-01"` + + - `"gpt-4o-audio-preview-2024-12-17"` + + - `"gpt-4o-audio-preview-2025-06-03"` + + - `"gpt-4o-mini-audio-preview"` + + - `"gpt-4o-mini-audio-preview-2024-12-17"` + + - `"gpt-4o-search-preview"` + + - `"gpt-4o-mini-search-preview"` + + - `"gpt-4o-search-preview-2025-03-11"` + + - `"gpt-4o-mini-search-preview-2025-03-11"` + + - `"chatgpt-4o-latest"` + + - `"codex-mini-latest"` + + - `"gpt-4o-mini"` + + - `"gpt-4o-mini-2024-07-18"` + + - `"gpt-4-turbo"` + + - `"gpt-4-turbo-2024-04-09"` + + - `"gpt-4-0125-preview"` + + - `"gpt-4-turbo-preview"` + + - `"gpt-4-1106-preview"` + + - `"gpt-4-vision-preview"` + + - `"gpt-4"` + + - `"gpt-4-0314"` + + - `"gpt-4-0613"` + + - `"gpt-4-32k"` + + - `"gpt-4-32k-0314"` + + - `"gpt-4-32k-0613"` + + - `"gpt-3.5-turbo"` + + - `"gpt-3.5-turbo-16k"` + + - `"gpt-3.5-turbo-0301"` + + - `"gpt-3.5-turbo-0613"` + + - `"gpt-3.5-turbo-1106"` + + - `"gpt-3.5-turbo-0125"` + + - `"gpt-3.5-turbo-16k-0613"` + + - `ResponsesOnlyModel: "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 11 more` + + - `"o1-pro"` + + - `"o1-pro-2025-03-19"` + + - `"o3-pro"` + + - `"o3-pro-2025-06-10"` + + - `"o3-deep-research"` + + - `"o3-deep-research-2025-06-26"` + + - `"o4-mini-deep-research"` + + - `"o4-mini-deep-research-2025-06-26"` + + - `"computer-use-preview"` + + - `"computer-use-preview-2025-03-11"` + + - `"gpt-5-codex"` + + - `"gpt-5-pro"` + + - `"gpt-5-pro-2025-10-06"` + + - `"gpt-5.1-codex-max"` + + - `object: "response"` + + The object type of this resource - always set to `response`. + + - `output: array of ResponseOutputItem` + + An array of content items generated by the model. + + - The length and order of items in the `output` array is dependent + on the model's response. + - Rather than accessing the first item in the `output` array and + assuming it's an `assistant` message with the content generated by + the model, you might consider using the `output_text` property where + supported in SDKs. + + - `response_output_message: object { id, content, role, 3 more }` + + An output message from the model. + + - `id: string` + + The unique ID of the output message. + + - `content: array of ResponseOutputText or ResponseOutputRefusal` + + The content of the output message. + + - `role: "assistant"` + + The role of the output message. Always `assistant`. + + - `status: "in_progress" or "completed" or "incomplete"` + + The status of the message input. One of `in_progress`, `completed`, or + `incomplete`. Populated when input items are returned via API. + + - `type: "message"` + + The type of the output message. Always `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. + + - `response_file_search_tool_call: object { id, queries, status, 2 more }` + + The results of a file search tool call. See the + [file search guide](https://platform.openai.com/docs/guides/tools-file-search) for more information. + + - `id: string` + + The unique ID of the file search tool call. + + - `queries: array of string` + + The queries used to search for files. + + - `status: "in_progress" or "searching" or "completed" or 2 more` + + The status of the file search tool call. One of `in_progress`, + `searching`, `incomplete` or `failed`, + + - `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. + + - `response_function_tool_call: object { arguments, call_id, name, 4 more }` + + A tool call to run a function. See the + [function calling guide](https://platform.openai.com/docs/guides/function-calling) for more information. + + - `arguments: string` + + A JSON string of the arguments to pass to the function. + + - `call_id: string` + + The unique ID of the function tool call generated by the model. + + - `name: string` + + The name of the function to run. + + - `type: "function_call"` + + The type of the function tool call. Always `function_call`. + + - `id: optional string` + + The unique ID of the function tool call. + + - `namespace: optional string` + + The namespace of the function to run. + + - `status: optional "in_progress" or "completed" or "incomplete"` + + The status of the item. One of `in_progress`, `completed`, or + `incomplete`. Populated when items are returned via API. + + - `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](https://platform.openai.com/docs/guides/vision). + + - `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_function_web_search: object { id, action, status, type }` + + The results of a web search tool call. See the + [web search guide](https://platform.openai.com/docs/guides/tools-web-search) 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). + + - `status: "in_progress" or "searching" or "completed" or "failed"` + + The status of the web search tool call. + + - `type: "web_search_call"` + + The type of the web search tool call. Always `web_search_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](https://platform.openai.com/docs/guides/tools-computer-use) for more information. + + - `id: string` + + The unique ID of the computer call. + + - `call_id: string` + + An identifier used when responding to the tool call with output. + + - `pending_safety_checks: array of object { id, code, message }` + + The pending safety checks for the computer call. + + - `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. + + - `type: "computer_call"` + + The type of the computer call. Always `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. + + - `actions: optional array of ComputerAction` + + Flattened batched actions for `computer_use`. Each action includes an + `type` discriminator and action-specific fields. + + - `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_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](https://platform.openai.com/docs/guides/conversation-state). + + - `id: string` + + The unique identifier of the reasoning content. + + - `summary: array of object { text, type }` + + Reasoning summary content. + + - `type: "reasoning"` + + The type of the object. Always `reasoning`. + + - `content: optional array of object { text, type }` + + Reasoning text content. + + - `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. + + - `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](https://platform.openai.com/docs/guides/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](https://platform.openai.com/docs/guides/tools-file-search). + + - `computer_tool: object { type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `computer_use_preview_tool: object { display_height, display_width, environment, type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `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](https://platform.openai.com/docs/guides/tools-web-search). + + - `mcp: object { server_label, type, allowed_tools, 7 more }` + + Give the model access to additional tools via remote Model Context Protocol + (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-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](https://platform.openai.com/docs/guides/function-calling#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](https://platform.openai.com/docs/guides/tools-web-search). + + - `apply_patch_tool: object { type }` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `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](https://platform.openai.com/docs/guides/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](https://platform.openai.com/docs/guides/tools-file-search). + + - `computer_tool: object { type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `computer_use_preview_tool: object { display_height, display_width, environment, type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `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](https://platform.openai.com/docs/guides/tools-web-search). + + - `mcp: object { server_label, type, allowed_tools, 7 more }` + + Give the model access to additional tools via remote Model Context Protocol + (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-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](https://platform.openai.com/docs/guides/function-calling#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](https://platform.openai.com/docs/guides/tools-web-search). + + - `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_compaction_item: object { id, encrypted_content, type, created_by }` + + A compaction item generated by the [`v1/responses/compact` API](https://platform.openai.com/docs/api-reference/responses/compact). + + - `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. + + - `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_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. + + - `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`. + + - `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_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"` + + - `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. + + - `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_item: ResponseCustomToolCallOutput` + + The output of a custom tool call from your code, being sent back to the model. + + - `id: string` + + The unique ID of the custom tool call output item. + + - `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. + + - `parallel_tool_calls: boolean` + + Whether to allow the model to run tool calls in parallel. + + - `temperature: number` + + What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. + We generally recommend altering this or `top_p` but not both. + + - `tool_choice: ToolChoiceOptions or ToolChoiceAllowed or ToolChoiceTypes or 5 more` + + How the model should select which tool (or tools) to use when generating + a response. See the `tools` parameter to see how to specify which tools + the model can call. + + - `tool_choice_options: "none" or "auto" or "required"` + + Controls which (if any) tool is called by the model. + + `none` means the model will not call any tool and instead generates a message. + + `auto` means the model can pick between generating a message or calling one or + more tools. + + `required` means the model must call one or more tools. + + - `"none"` + + - `"auto"` + + - `"required"` + + - `tool_choice_allowed: object { mode, tools, type }` + + Constrains the tools available to the model to a pre-defined set. + + - `mode: "auto" or "required"` + + Constrains the tools available to the model to a pre-defined set. + + `auto` allows the model to pick from among the allowed tools and generate a + message. + + `required` requires the model to call one or more of the allowed tools. + + - `"auto"` + + - `"required"` + + - `tools: array of map[unknown]` + + A list of tool definitions that the model should be allowed to call. + + For the Responses API, the list of tool definitions might look like: + + ```json + [ + { "type": "function", "name": "get_weather" }, + { "type": "mcp", "server_label": "deepwiki" }, + { "type": "image_generation" } + ] + ``` + + - `type: "allowed_tools"` + + Allowed tool configuration type. Always `allowed_tools`. + + - `tool_choice_types: object { type }` + + Indicates that the model should use a built-in tool to generate a response. + [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools). + + - `type: "file_search" or "web_search_preview" or "computer" or 5 more` + + The type of hosted tool the model should to use. Learn more about + [built-in tools](https://platform.openai.com/docs/guides/tools). + + Allowed values are: + + - `file_search` + - `web_search_preview` + - `computer` + - `computer_use_preview` + - `computer_use` + - `code_interpreter` + - `image_generation` + + - `"file_search"` + + - `"web_search_preview"` + + - `"computer"` + + - `"computer_use_preview"` + + - `"computer_use"` + + - `"web_search_preview_2025_03_11"` + + - `"image_generation"` + + - `"code_interpreter"` + + - `tool_choice_function: object { name, type }` + + Use this option to force the model to call a specific function. + + - `name: string` + + The name of the function to call. + + - `type: "function"` + + For function calling, the type is always `function`. + + - `tool_choice_mcp: object { server_label, type, name }` + + Use this option to force the model to call a specific tool on a remote MCP server. + + - `server_label: string` + + The label of the MCP server to use. + + - `type: "mcp"` + + For MCP tools, the type is always `mcp`. + + - `name: optional string` + + The name of the tool to call on the server. + + - `tool_choice_custom: object { name, type }` + + Use this option to force the model to call a specific custom tool. + + - `name: string` + + The name of the custom tool to call. + + - `type: "custom"` + + For custom tool calling, the type is always `custom`. + + - `tool_choice_apply_patch: object { type }` + + Forces the model to call the apply_patch tool when executing a tool call. + + - `type: "apply_patch"` + + The tool to call. Always `apply_patch`. + + - `tool_choice_shell: object { type }` + + Forces the model to call the shell tool when a tool call is required. + + - `type: "shell"` + + The tool to call. Always `shell`. + + - `tools: array of Tool` + + An array of tools the model may call while generating a response. You + can specify which tool to use by setting the `tool_choice` parameter. + + We support the following categories of tools: + + - **Built-in tools**: Tools that are provided by OpenAI that extend the + model's capabilities, like [web search](https://platform.openai.com/docs/guides/tools-web-search) + or [file search](https://platform.openai.com/docs/guides/tools-file-search). Learn more about + [built-in tools](https://platform.openai.com/docs/guides/tools). + - **MCP Tools**: Integrations with third-party systems via custom MCP servers + or predefined connectors such as Google Drive and SharePoint. Learn more about + [MCP Tools](https://platform.openai.com/docs/guides/tools-connectors-mcp). + - **Function calls (custom tools)**: Functions that are defined by you, + enabling the model to call your own code with strongly typed arguments + and outputs. Learn more about + [function calling](https://platform.openai.com/docs/guides/function-calling). You can also use + custom tools to call your own code. + + - `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](https://platform.openai.com/docs/guides/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](https://platform.openai.com/docs/guides/tools-file-search). + + - `computer_tool: object { type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `computer_use_preview_tool: object { display_height, display_width, environment, type }` + + A tool that controls a virtual computer. Learn more about the [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + + - `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](https://platform.openai.com/docs/guides/tools-web-search). + + - `mcp: object { server_label, type, allowed_tools, 7 more }` + + Give the model access to additional tools via remote Model Context Protocol + (MCP) servers. [Learn more about MCP](https://platform.openai.com/docs/guides/tools-remote-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](https://platform.openai.com/docs/guides/function-calling#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](https://platform.openai.com/docs/guides/tools-web-search). + + - `apply_patch_tool: object { type }` + + Allows the assistant to create, delete, or update files using unified diffs. + + - `top_p: number` + + An alternative to sampling with temperature, called nucleus sampling, + where the model considers the results of the tokens with top_p probability + mass. So 0.1 means only the tokens comprising the top 10% probability mass + are considered. + + We generally recommend altering this or `temperature` but not both. + + - `background: optional boolean` + + Whether to run the model response in the background. + [Learn more](https://platform.openai.com/docs/guides/background). + + - `completed_at: optional number` + + Unix timestamp (in seconds) of when this Response was completed. + Only present when the status is `completed`. + + - `conversation: optional object { id }` + + The conversation that this response belonged to. Input items and output items from this response were automatically added to this conversation. + + - `id: string` + + The unique ID of the conversation that this response was associated with. + + - `max_output_tokens: optional number` + + An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). + + - `max_tool_calls: optional number` + + The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored. + + - `moderation: optional object { input, output }` + + Moderation results for the response input and output, if moderated completions were requested. + + - `input: object { categories, category_applied_input_types, category_scores, 3 more } or object { code, message, type }` + + Moderation for the response input. + + - `moderation_result: object { categories, category_applied_input_types, category_scores, 3 more }` + + A moderation result produced for the response input or output. + + - `categories: map[boolean]` + + A dictionary of moderation categories to booleans, True if the input is flagged under this category. + + - `category_applied_input_types: map[array of "text" or "image"]` + + Which modalities of input are reflected by the score for each category. + + - `"text"` + + - `"image"` + + - `category_scores: map[number]` + + A dictionary of moderation categories to scores. + + - `flagged: boolean` + + A boolean indicating whether the content was flagged by any category. + + - `model: string` + + The moderation model that produced this result. + + - `type: "moderation_result"` + + The object type, which was always `moderation_result` for successful moderation results. + + - `error: object { code, message, type }` + + An error produced while attempting moderation for the response input or output. + + - `code: string` + + The error code. + + - `message: string` + + The error message. + + - `type: "error"` + + The object type, which was always `error` for moderation failures. + + - `output: object { categories, category_applied_input_types, category_scores, 3 more } or object { code, message, type }` + + Moderation for the response output. + + - `moderation_result: object { categories, category_applied_input_types, category_scores, 3 more }` + + A moderation result produced for the response input or output. + + - `categories: map[boolean]` + + A dictionary of moderation categories to booleans, True if the input is flagged under this category. + + - `category_applied_input_types: map[array of "text" or "image"]` + + Which modalities of input are reflected by the score for each category. + + - `"text"` + + - `"image"` + + - `category_scores: map[number]` + + A dictionary of moderation categories to scores. + + - `flagged: boolean` + + A boolean indicating whether the content was flagged by any category. + + - `model: string` + + The moderation model that produced this result. + + - `type: "moderation_result"` + + The object type, which was always `moderation_result` for successful moderation results. + + - `error: object { code, message, type }` + + An error produced while attempting moderation for the response input or output. + + - `code: string` + + The error code. + + - `message: string` + + The error message. + + - `type: "error"` + + The object type, which was always `error` for moderation failures. + + - `previous_response_id: optional string` + + The unique ID of the previous response to the model. Use this to + create multi-turn conversations. Learn more about + [conversation state](https://platform.openai.com/docs/guides/conversation-state). Cannot be used in conjunction with `conversation`. + + - `prompt: optional object { id, variables, version }` + + Reference to a prompt template and its variables. + [Learn more](https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts). + + - `id: string` + + The unique identifier of the prompt template to use. + + - `variables: optional map[string or ResponseInputText or ResponseInputImage or ResponseInputFile]` + + Optional map of values to substitute in for variables in your + prompt. The substitution values can either be strings, or other + Response input types like images or files. + + - `union_member_0: string` + + - `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](https://platform.openai.com/docs/guides/vision). + + - `response_input_file: object { type, detail, file_data, 3 more }` + + A file input to the model. + + - `version: optional string` + + Optional version of the prompt template. + + - `prompt_cache_key: optional string` + + Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the `user` field. [Learn more](https://platform.openai.com/docs/guides/prompt-caching). + + - `prompt_cache_retention: optional "in_memory" or "24h"` + + The retention policy for the prompt cache. Set to `24h` to enable extended prompt caching, which keeps cached prefixes active for longer, up to a maximum of 24 hours. [Learn more](https://platform.openai.com/docs/guides/prompt-caching#prompt-cache-retention). + For `gpt-5.5`, `gpt-5.5-pro`, and future models, only `24h` is supported. + + For older models that support both `in_memory` and `24h`, the default depends on your organization's data retention policy: + + - Organizations without ZDR enabled default to `24h`. + - Organizations with ZDR enabled default to `in_memory` when `prompt_cache_retention` is not specified. + + - `"in_memory"` + + - `"24h"` + + - `reasoning: optional object { effort, generate_summary, summary }` + + **gpt-5 and o-series models only** + + Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + + - `effort: optional "none" or "minimal" or "low" or 3 more` + + Constrains effort on reasoning for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing + reasoning effort can result in faster responses and fewer tokens used + on reasoning in a response. + + - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool calls are supported for all reasoning values in gpt-5.1. + - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`. + - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort. + - `xhigh` is supported for all models after `gpt-5.1-codex-max`. + + - `"none"` + + - `"minimal"` + + - `"low"` + + - `"medium"` + + - `"high"` + + - `"xhigh"` + + - `generate_summary: optional "auto" or "concise" or "detailed"` + + **Deprecated:** use `summary` instead. + + A summary of the reasoning performed by the model. This can be + useful for debugging and understanding the model's reasoning process. + One of `auto`, `concise`, or `detailed`. + + - `"auto"` + + - `"concise"` + + - `"detailed"` + + - `summary: optional "auto" or "concise" or "detailed"` + + A summary of the reasoning performed by the model. This can be + useful for debugging and understanding the model's reasoning process. + One of `auto`, `concise`, or `detailed`. + + `concise` is supported for `computer-use-preview` models and all reasoning models after `gpt-5`. + + - `"auto"` + + - `"concise"` + + - `"detailed"` + + - `safety_identifier: optional string` + + A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. + The IDs should be a string that uniquely identifies each user, with a maximum length of 64 characters. We recommend hashing their username or email address, in order to avoid sending us any identifying information. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). + + - `service_tier: optional "auto" or "default" or "flex" or 2 more` + + Specifies the processing type used for serving the request. + + - If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'. + - If set to 'default', then the request will be processed with the standard pricing and performance for the selected model. + - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or '[priority](https://openai.com/api-priority-processing/)', then the request will be processed with the corresponding service tier. + - When not set, the default behavior is 'auto'. + + When the `service_tier` parameter is set, the response body will include the `service_tier` value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter. + + - `"auto"` + + - `"default"` + + - `"flex"` + + - `"scale"` + + - `"priority"` + + - `status: optional "completed" or "failed" or "in_progress" or 3 more` + + The status of the response generation. One of `completed`, `failed`, + `in_progress`, `cancelled`, `queued`, or `incomplete`. + + - `"completed"` + + - `"failed"` + + - `"in_progress"` + + - `"cancelled"` + + - `"queued"` + + - `"incomplete"` + + - `text: optional object { format, verbosity }` + + Configuration options for a text response from the model. Can be plain + text or structured JSON data. Learn more: + + - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + + - `format: optional ResponseFormatText or ResponseFormatTextJSONSchemaConfig or ResponseFormatJSONObject` + + An object specifying the format that the model must output. + + Configuring `{ "type": "json_schema" }` enables Structured Outputs, + which ensures the model will match your supplied JSON schema. Learn more in the + [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + + The default format is `{ "type": "text" }` with no additional options. + + **Not recommended for gpt-4o and newer models:** + + Setting to `{ "type": "json_object" }` enables the older JSON mode, which + ensures the message the model generates is valid JSON. Using `json_schema` + is preferred for models that support it. + + - `response_format_text: object { type }` + + Default response format. Used to generate text responses. + + - `type: "text"` + + The type of response format being defined. Always `text`. + + - `response_format_text_json_schema_config: object { name, schema, type, 2 more }` + + JSON Schema response format. Used to generate structured JSON responses. + Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). + + - `name: string` + + The name of the response format. Must be a-z, A-Z, 0-9, or contain + underscores and dashes, with a maximum length of 64. + + - `schema: map[unknown]` + + The schema for the response format, described as a JSON Schema object. + Learn how to build JSON schemas [here](https://json-schema.org/). + + - `type: "json_schema"` + + The type of response format being defined. Always `json_schema`. + + - `description: optional string` + + A description of what the response format is for, used by the model to + determine how to respond in the format. + + - `strict: optional boolean` + + Whether to enable strict schema adherence when generating the output. + If set to true, the model will always follow the exact schema defined + in the `schema` field. Only a subset of JSON Schema is supported when + `strict` is `true`. To learn more, read the [Structured Outputs + guide](https://platform.openai.com/docs/guides/structured-outputs). + + - `response_format_json_object: object { type }` + + JSON object response format. An older method of generating JSON responses. + Using `json_schema` is recommended for models that support it. Note that the + model will not generate JSON without a system or user message instructing it + to do so. + + - `type: "json_object"` + + The type of response format being defined. Always `json_object`. + + - `verbosity: optional "low" or "medium" or "high"` + + Constrains the verbosity of the model's response. Lower values will result in + more concise responses, while higher values will result in more verbose responses. + Currently supported values are `low`, `medium`, and `high`. + + - `"low"` + + - `"medium"` + + - `"high"` + + - `top_logprobs: optional number` + + An integer between 0 and 20 specifying the maximum number of most likely + tokens to return at each token position, each with an associated log + probability. In some cases, the number of returned tokens may be fewer than + requested. + + - `truncation: optional "auto" or "disabled"` + + The truncation strategy to use for the model response. + + - `auto`: If the input to this Response exceeds + the model's context window size, the model will truncate the + response to fit the context window by dropping items from the beginning of the conversation. + - `disabled` (default): If the input size will exceed the context window + size for a model, the request will fail with a 400 error. + + - `"auto"` + + - `"disabled"` + + - `usage: optional object { input_tokens, input_tokens_details, output_tokens, 2 more }` + + Represents token usage details including input tokens, output tokens, + a breakdown of output tokens, and the total tokens used. + + - `input_tokens: number` + + The number of input tokens. + + - `input_tokens_details: object { cached_tokens }` + + A detailed breakdown of the input tokens. + + - `cached_tokens: number` + + The number of tokens that were retrieved from the cache. + [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching). + + - `output_tokens: number` + + The number of output tokens. + + - `output_tokens_details: object { reasoning_tokens }` + + A detailed breakdown of the output tokens. + + - `reasoning_tokens: number` + + The number of reasoning tokens. + + - `total_tokens: number` + + The total number of tokens used. + + - `user: optional string` + + This field is being replaced by `safety_identifier` and `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching optimizations. + A stable identifier for your end-users. + Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers). + +### Example + +```cli +openai responses create \ + --api-key 'My API Key' +``` + +#### Response + +```json +{ + "id": "id", + "created_at": 0, + "error": { + "code": "server_error", + "message": "message" + }, + "incomplete_details": { + "reason": "max_output_tokens" + }, + "instructions": "string", + "metadata": { + "foo": "string" + }, + "model": "gpt-5.1", + "object": "response", + "output": [ + { + "id": "id", + "content": [ + { + "annotations": [ + { + "file_id": "file_id", + "filename": "filename", + "index": 0, + "type": "file_citation" + } + ], + "text": "text", + "type": "output_text", + "logprobs": [ + { + "token": "token", + "bytes": [ + 0 + ], + "logprob": 0, + "top_logprobs": [ + { + "token": "token", + "bytes": [ + 0 + ], + "logprob": 0 + } + ] + } + ] + } + ], + "role": "assistant", + "status": "in_progress", + "type": "message", + "phase": "commentary" + } + ], + "parallel_tool_calls": true, + "temperature": 1, + "tool_choice": "none", + "tools": [ + { + "name": "name", + "parameters": { + "foo": "bar" + }, + "strict": true, + "type": "function", + "defer_loading": true, + "description": "description" + } + ], + "top_p": 1, + "background": true, + "completed_at": 0, + "conversation": { + "id": "id" + }, + "max_output_tokens": 0, + "max_tool_calls": 0, + "moderation": { + "input": { + "categories": { + "foo": true + }, + "category_applied_input_types": { + "foo": [ + "text" + ] + }, + "category_scores": { + "foo": 0 + }, + "flagged": true, + "model": "model", + "type": "moderation_result" + }, + "output": { + "categories": { + "foo": true + }, + "category_applied_input_types": { + "foo": [ + "text" + ] + }, + "category_scores": { + "foo": 0 + }, + "flagged": true, + "model": "model", + "type": "moderation_result" + } + }, + "output_text": "output_text", + "previous_response_id": "previous_response_id", + "prompt": { + "id": "id", + "variables": { + "foo": "string" + }, + "version": "version" + }, + "prompt_cache_key": "prompt-cache-key-1234", + "prompt_cache_retention": "in_memory", + "reasoning": { + "effort": "none", + "generate_summary": "auto", + "summary": "auto" + }, + "safety_identifier": "safety-identifier-1234", + "service_tier": "auto", + "status": "completed", + "text": { + "format": { + "type": "text" + }, + "verbosity": "low" + }, + "top_logprobs": 0, + "truncation": "auto", + "usage": { + "input_tokens": 0, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 0, + "output_tokens_details": { + "reasoning_tokens": 0 + }, + "total_tokens": 0 + }, + "user": "user-1234" +} +```