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responses.ts
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// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
import {
type ExtractParsedContentFromParams,
parseResponse,
type ResponseCreateParamsWithTools,
addOutputText,
} from '../../lib/ResponsesParser';
import * as Core from '../../core';
import { APIPromise, isRequestOptions } from '../../core';
import { APIResource } from '../../resource';
import * as Shared from '../shared';
import * as InputItemsAPI from './input-items';
import { InputItemListParams, InputItems, ResponseItemList } from './input-items';
import * as ResponsesAPI from './responses';
import { ResponseStream, ResponseStreamParams } from '../../lib/responses/ResponseStream';
import { CursorPage } from '../../pagination';
import { Stream } from '../../streaming';
export interface ParsedResponseOutputText<ParsedT> extends ResponseOutputText {
parsed: ParsedT | null;
}
export type ParsedContent<ParsedT> = ParsedResponseOutputText<ParsedT> | ResponseOutputRefusal;
export interface ParsedResponseOutputMessage<ParsedT> extends ResponseOutputMessage {
content: ParsedContent<ParsedT>[];
}
export interface ParsedResponseFunctionToolCall extends ResponseFunctionToolCall {
parsed_arguments: any;
}
export type ParsedResponseOutputItem<ParsedT> =
| ParsedResponseOutputMessage<ParsedT>
| ParsedResponseFunctionToolCall
| ResponseFileSearchToolCall
| ResponseFunctionWebSearch
| ResponseComputerToolCall
| ResponseReasoningItem;
export interface ParsedResponse<ParsedT> extends Response {
output: Array<ParsedResponseOutputItem<ParsedT>>;
output_parsed: ParsedT | null;
}
export type ResponseParseParams = ResponseCreateParamsNonStreaming;
export class Responses extends APIResource {
inputItems: InputItemsAPI.InputItems = new InputItemsAPI.InputItems(this._client);
/**
* 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.
*/
create(body: ResponseCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise<Response>;
create(
body: ResponseCreateParamsStreaming,
options?: Core.RequestOptions,
): APIPromise<Stream<ResponseStreamEvent>>;
create(
body: ResponseCreateParamsBase,
options?: Core.RequestOptions,
): APIPromise<Stream<ResponseStreamEvent> | Response>;
create(
body: ResponseCreateParams,
options?: Core.RequestOptions,
): APIPromise<Response> | APIPromise<Stream<ResponseStreamEvent>> {
return (
this._client.post('/responses', { body, ...options, stream: body.stream ?? false }) as
| APIPromise<Response>
| APIPromise<Stream<ResponseStreamEvent>>
)._thenUnwrap((rsp) => {
if ('object' in rsp && rsp.object === 'response') {
addOutputText(rsp as Response);
}
return rsp;
}) as APIPromise<Response> | APIPromise<Stream<ResponseStreamEvent>>;
}
/**
* Retrieves a model response with the given ID.
*/
retrieve(
responseId: string,
query?: ResponseRetrieveParams,
options?: Core.RequestOptions,
): Core.APIPromise<Response>;
retrieve(responseId: string, options?: Core.RequestOptions): Core.APIPromise<Response>;
retrieve(
responseId: string,
query: ResponseRetrieveParams | Core.RequestOptions = {},
options?: Core.RequestOptions,
): Core.APIPromise<Response> {
if (isRequestOptions(query)) {
return this.retrieve(responseId, {}, query);
}
return this._client.get(`/responses/${responseId}`, { query, ...options });
}
/**
* Deletes a model response with the given ID.
*/
del(responseId: string, options?: Core.RequestOptions): Core.APIPromise<void> {
return this._client.delete(`/responses/${responseId}`, {
...options,
headers: { Accept: '*/*', ...options?.headers },
});
}
parse<Params extends ResponseCreateParamsWithTools, ParsedT = ExtractParsedContentFromParams<Params>>(
body: Params,
options?: Core.RequestOptions,
): Core.APIPromise<ParsedResponse<ParsedT>> {
return this._client.responses
.create(body, options)
._thenUnwrap((response) => parseResponse(response as Response, body));
}
/**
* Creates a model response stream
*/
stream<Params extends ResponseStreamParams, ParsedT = ExtractParsedContentFromParams<Params>>(
body: Params,
options?: Core.RequestOptions,
): ResponseStream<ParsedT> {
return ResponseStream.createResponse<ParsedT>(this._client, body, options);
}
}
export class ResponseItemsPage extends CursorPage<ResponseItem> {}
/**
* A tool that controls a virtual computer. Learn more about the
* [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
*/
export interface ComputerTool {
/**
* The height of the computer display.
*/
display_height: number;
/**
* The width of the computer display.
*/
display_width: number;
/**
* The type of computer environment to control.
*/
environment: 'mac' | 'windows' | 'ubuntu' | 'browser';
/**
* The type of the computer use tool. Always `computer_use_preview`.
*/
type: 'computer-preview';
}
/**
* 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.
*/
export interface EasyInputMessage {
/**
* Text, image, or audio input to the model, used to generate a response. Can also
* contain previous assistant responses.
*/
content: string | ResponseInputMessageContentList;
/**
* The role of the message input. One of `user`, `assistant`, `system`, or
* `developer`.
*/
role: 'user' | 'assistant' | 'system' | 'developer';
/**
* The type of the message input. Always `message`.
*/
type?: 'message';
}
/**
* 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).
*/
export interface FileSearchTool {
/**
* The type of the file search tool. Always `file_search`.
*/
type: 'file_search';
/**
* The IDs of the vector stores to search.
*/
vector_store_ids: Array<string>;
/**
* A filter to apply based on file attributes.
*/
filters?: Shared.ComparisonFilter | Shared.CompoundFilter;
/**
* The maximum number of results to return. This number should be between 1 and 50
* inclusive.
*/
max_num_results?: number;
/**
* Ranking options for search.
*/
ranking_options?: FileSearchTool.RankingOptions;
}
export namespace FileSearchTool {
/**
* Ranking options for search.
*/
export interface RankingOptions {
/**
* The ranker to use for the file search.
*/
ranker?: 'auto' | 'default-2024-11-15';
/**
* 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.
*/
score_threshold?: number;
}
}
/**
* 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).
*/
export interface FunctionTool {
/**
* The name of the function to call.
*/
name: string;
/**
* A JSON schema object describing the parameters of the function.
*/
parameters: Record<string, unknown>;
/**
* Whether to enforce strict parameter validation. Default `true`.
*/
strict: boolean;
/**
* The type of the function tool. Always `function`.
*/
type: 'function';
/**
* A description of the function. Used by the model to determine whether or not to
* call the function.
*/
description?: string | null;
}
export interface Response {
/**
* Unique identifier for this Response.
*/
id: string;
/**
* Unix timestamp (in seconds) of when this Response was created.
*/
created_at: number;
output_text: string;
/**
* An error object returned when the model fails to generate a Response.
*/
error: ResponseError | null;
/**
* Details about why the response is incomplete.
*/
incomplete_details: Response.IncompleteDetails | null;
/**
* Inserts a system (or developer) message as the first item in 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.
*/
instructions: string | null;
/**
* 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.
*/
metadata: Shared.Metadata | null;
/**
* Model ID used to generate the response, like `gpt-4o` or `o1`. 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.
*/
model: Shared.ResponsesModel;
/**
* The object type of this resource - always set to `response`.
*/
object: 'response';
/**
* 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.
*/
output: Array<ResponseOutputItem>;
/**
* Whether to allow the model to run tool calls in parallel.
*/
parallel_tool_calls: boolean;
/**
* 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.
*/
temperature: number | null;
/**
* 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: ToolChoiceOptions | ToolChoiceTypes | ToolChoiceFunction;
/**
* 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.
*
* The two categories of tools you can provide the model are:
*
* - **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).
* - **Function calls (custom tools)**: Functions that are defined by you, enabling
* the model to call your own code. Learn more about
* [function calling](https://platform.openai.com/docs/guides/function-calling).
*/
tools: Array<Tool>;
/**
* 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.
*/
top_p: number | null;
/**
* 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_output_tokens?: number | null;
/**
* 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).
*/
previous_response_id?: string | null;
/**
* **o-series models only**
*
* Configuration options for
* [reasoning models](https://platform.openai.com/docs/guides/reasoning).
*/
reasoning?: Shared.Reasoning | null;
/**
* The status of the response generation. One of `completed`, `failed`,
* `in_progress`, or `incomplete`.
*/
status?: ResponseStatus;
/**
* 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)
*/
text?: ResponseTextConfig;
/**
* The truncation strategy to use for the model response.
*
* - `auto`: If the context of this response and previous ones exceeds the model's
* context window size, the model will truncate the response to fit the context
* window by dropping input items in the middle of the conversation.
* - `disabled` (default): If a model response will exceed the context window size
* for a model, the request will fail with a 400 error.
*/
truncation?: 'auto' | 'disabled' | null;
/**
* Represents token usage details including input tokens, output tokens, a
* breakdown of output tokens, and the total tokens used.
*/
usage?: ResponseUsage;
/**
* A unique identifier representing your end-user, which can help OpenAI to monitor
* and detect abuse.
* [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
*/
user?: string;
}
export namespace Response {
/**
* Details about why the response is incomplete.
*/
export interface IncompleteDetails {
/**
* The reason why the response is incomplete.
*/
reason?: 'max_output_tokens' | 'content_filter';
}
}
/**
* Emitted when there is a partial audio response.
*/
export interface ResponseAudioDeltaEvent {
/**
* A chunk of Base64 encoded response audio bytes.
*/
delta: string;
/**
* The type of the event. Always `response.audio.delta`.
*/
type: 'response.audio.delta';
}
/**
* Emitted when the audio response is complete.
*/
export interface ResponseAudioDoneEvent {
/**
* The type of the event. Always `response.audio.done`.
*/
type: 'response.audio.done';
}
/**
* Emitted when there is a partial transcript of audio.
*/
export interface ResponseAudioTranscriptDeltaEvent {
/**
* The partial transcript of the audio response.
*/
delta: string;
/**
* The type of the event. Always `response.audio.transcript.delta`.
*/
type: 'response.audio.transcript.delta';
}
/**
* Emitted when the full audio transcript is completed.
*/
export interface ResponseAudioTranscriptDoneEvent {
/**
* The type of the event. Always `response.audio.transcript.done`.
*/
type: 'response.audio.transcript.done';
}
/**
* Emitted when a partial code snippet is added by the code interpreter.
*/
export interface ResponseCodeInterpreterCallCodeDeltaEvent {
/**
* The partial code snippet added by the code interpreter.
*/
delta: string;
/**
* The index of the output item that the code interpreter call is in progress.
*/
output_index: number;
/**
* The type of the event. Always `response.code_interpreter_call.code.delta`.
*/
type: 'response.code_interpreter_call.code.delta';
}
/**
* Emitted when code snippet output is finalized by the code interpreter.
*/
export interface ResponseCodeInterpreterCallCodeDoneEvent {
/**
* The final code snippet output by the code interpreter.
*/
code: string;
/**
* The index of the output item that the code interpreter call is in progress.
*/
output_index: number;
/**
* The type of the event. Always `response.code_interpreter_call.code.done`.
*/
type: 'response.code_interpreter_call.code.done';
}
/**
* Emitted when the code interpreter call is completed.
*/
export interface ResponseCodeInterpreterCallCompletedEvent {
/**
* A tool call to run code.
*/
code_interpreter_call: ResponseCodeInterpreterToolCall;
/**
* The index of the output item that the code interpreter call is in progress.
*/
output_index: number;
/**
* The type of the event. Always `response.code_interpreter_call.completed`.
*/
type: 'response.code_interpreter_call.completed';
}
/**
* Emitted when a code interpreter call is in progress.
*/
export interface ResponseCodeInterpreterCallInProgressEvent {
/**
* A tool call to run code.
*/
code_interpreter_call: ResponseCodeInterpreterToolCall;
/**
* The index of the output item that the code interpreter call is in progress.
*/
output_index: number;
/**
* The type of the event. Always `response.code_interpreter_call.in_progress`.
*/
type: 'response.code_interpreter_call.in_progress';
}
/**
* Emitted when the code interpreter is actively interpreting the code snippet.
*/
export interface ResponseCodeInterpreterCallInterpretingEvent {
/**
* A tool call to run code.
*/
code_interpreter_call: ResponseCodeInterpreterToolCall;
/**
* The index of the output item that the code interpreter call is in progress.
*/
output_index: number;
/**
* The type of the event. Always `response.code_interpreter_call.interpreting`.
*/
type: 'response.code_interpreter_call.interpreting';
}
/**
* A tool call to run code.
*/
export interface ResponseCodeInterpreterToolCall {
/**
* The unique ID of the code interpreter tool call.
*/
id: string;
/**
* The code to run.
*/
code: string;
/**
* The results of the code interpreter tool call.
*/
results: Array<ResponseCodeInterpreterToolCall.Logs | ResponseCodeInterpreterToolCall.Files>;
/**
* The status of the code interpreter tool call.
*/
status: 'in_progress' | 'interpreting' | 'completed';
/**
* The type of the code interpreter tool call. Always `code_interpreter_call`.
*/
type: 'code_interpreter_call';
}
export namespace ResponseCodeInterpreterToolCall {
/**
* The output of a code interpreter tool call that is text.
*/
export interface Logs {
/**
* The logs of the code interpreter tool call.
*/
logs: string;
/**
* The type of the code interpreter text output. Always `logs`.
*/
type: 'logs';
}
/**
* The output of a code interpreter tool call that is a file.
*/
export interface Files {
files: Array<Files.File>;
/**
* The type of the code interpreter file output. Always `files`.
*/
type: 'files';
}
export namespace Files {
export interface File {
/**
* The ID of the file.
*/
file_id: string;
/**
* The MIME type of the file.
*/
mime_type: string;
}
}
}
/**
* Emitted when the model response is complete.
*/
export interface ResponseCompletedEvent {
/**
* Properties of the completed response.
*/
response: Response;
/**
* The type of the event. Always `response.completed`.
*/
type: 'response.completed';
}
/**
* 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.
*/
export interface ResponseComputerToolCall {
/**
* The unique ID of the computer call.
*/
id: string;
/**
* A click action.
*/
action:
| ResponseComputerToolCall.Click
| ResponseComputerToolCall.DoubleClick
| ResponseComputerToolCall.Drag
| ResponseComputerToolCall.Keypress
| ResponseComputerToolCall.Move
| ResponseComputerToolCall.Screenshot
| ResponseComputerToolCall.Scroll
| ResponseComputerToolCall.Type
| ResponseComputerToolCall.Wait;
/**
* An identifier used when responding to the tool call with output.
*/
call_id: string;
/**
* The pending safety checks for the computer call.
*/
pending_safety_checks: Array<ResponseComputerToolCall.PendingSafetyCheck>;
/**
* The status of the item. One of `in_progress`, `completed`, or `incomplete`.
* Populated when items are returned via API.
*/
status: 'in_progress' | 'completed' | 'incomplete';
/**
* The type of the computer call. Always `computer_call`.
*/
type: 'computer_call';
}
export namespace ResponseComputerToolCall {
/**
* A click action.
*/
export interface Click {
/**
* Indicates which mouse button was pressed during the click. One of `left`,
* `right`, `wheel`, `back`, or `forward`.
*/
button: 'left' | 'right' | 'wheel' | 'back' | 'forward';
/**
* Specifies the event type. For a click action, this property is always set to
* `click`.
*/
type: 'click';
/**
* The x-coordinate where the click occurred.
*/
x: number;
/**
* The y-coordinate where the click occurred.
*/
y: number;
}
/**
* A double click action.
*/
export interface DoubleClick {
/**
* Specifies the event type. For a double click action, this property is always set
* to `double_click`.
*/
type: 'double_click';
/**
* The x-coordinate where the double click occurred.
*/
x: number;
/**
* The y-coordinate where the double click occurred.
*/
y: number;
}
/**
* A drag action.
*/
export interface Drag {
/**
* 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 }
* ]
* ```
*/
path: Array<Drag.Path>;
/**
* Specifies the event type. For a drag action, this property is always set to
* `drag`.
*/
type: 'drag';
}
export namespace Drag {
/**
* A series of x/y coordinate pairs in the drag path.
*/
export interface Path {
/**
* The x-coordinate.
*/
x: number;
/**
* The y-coordinate.
*/
y: number;
}
}
/**
* A collection of keypresses the model would like to perform.
*/
export interface Keypress {
/**
* The combination of keys the model is requesting to be pressed. This is an array
* of strings, each representing a key.
*/
keys: Array<string>;
/**
* Specifies the event type. For a keypress action, this property is always set to
* `keypress`.
*/
type: 'keypress';
}
/**
* A mouse move action.
*/
export interface Move {
/**
* Specifies the event type. For a move action, this property is always set to
* `move`.
*/
type: 'move';
/**
* The x-coordinate to move to.
*/
x: number;
/**
* The y-coordinate to move to.
*/
y: number;
}
/**
* A screenshot action.
*/
export interface Screenshot {
/**
* Specifies the event type. For a screenshot action, this property is always set
* to `screenshot`.
*/
type: 'screenshot';
}
/**
* A scroll action.
*/
export interface Scroll {
/**
* The horizontal scroll distance.
*/
scroll_x: number;
/**
* The vertical scroll distance.
*/
scroll_y: number;
/**
* Specifies the event type. For a scroll action, this property is always set to
* `scroll`.
*/
type: 'scroll';
/**
* The x-coordinate where the scroll occurred.
*/
x: number;
/**
* The y-coordinate where the scroll occurred.
*/
y: number;
}
/**
* An action to type in text.
*/
export interface Type {
/**
* The text to type.
*/
text: string;
/**
* Specifies the event type. For a type action, this property is always set to
* `type`.
*/
type: 'type';
}
/**
* A wait action.
*/
export interface Wait {
/**
* Specifies the event type. For a wait action, this property is always set to
* `wait`.
*/
type: 'wait';
}
/**
* A pending safety check for the computer call.
*/
export interface PendingSafetyCheck {
/**
* The ID of the pending safety check.
*/
id: string;
/**
* The type of the pending safety check.
*/
code: string;
/**
* Details about the pending safety check.
*/
message: string;
}
}
export interface ResponseComputerToolCallOutputItem {
/**
* The unique ID of the computer call tool output.
*/
id: string;
/**
* The ID of the computer tool call that produced the output.
*/
call_id: string;
/**
* A computer screenshot image used with the computer use tool.
*/
output: ResponseComputerToolCallOutputScreenshot;
/**
* The type of the computer tool call output. Always `computer_call_output`.
*/
type: 'computer_call_output';
/**
* The safety checks reported by the API that have been acknowledged by the
* developer.
*/
acknowledged_safety_checks?: Array<ResponseComputerToolCallOutputItem.AcknowledgedSafetyCheck>;
/**
* The status of the message input. One of `in_progress`, `completed`, or