// File generated from our OpenAPI spec by Stainless.

import * as Core from "../../core";
import { APIResource } from "../../resource";
import * as TranslationsAPI from "./translations";
import * as AudioAPI from "./audio";
import { type Uploadable, multipartFormRequestOptions } from "../../core";

export class Translations extends APIResource {
  /**
   * Translates audio into English.
   */
  create(
    body: TranslationCreateParams,
    options?: Core.RequestOptions,
  ): Core.APIPromise<AudioAPI.Translation> {
    return this._client.post(
      '/openai/v1/audio/translations',
      multipartFormRequestOptions({ body, ...options }),
    );
  }
}

export interface TranslationCreateParams {
  /**
   * The audio file object (not file name) translate, in one of these formats: flac,
   * mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
   */
  file: Uploadable;

  /**
   * ID of the model to use. Only `whisper-large-v3` is currently available.
   */
  model: (string & {}) | 'whisper-large-v3';

  /**
   * An optional text to guide the model's style or continue a previous audio
   * segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in
   * English.
   */
  prompt?: string;

  /**
   * The format of the transcript output, in one of these options: `json`, `text`,
   * `srt`, `verbose_json`, or `vtt`.
   */
  response_format?: string;

  /**
   * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
   * output more random, while lower values like 0.2 will make it more focused and
   * deterministic. If set to 0, the model will use
   * [log probability](https://en.wikipedia.org/wiki/Log_probability) to
   * automatically increase the temperature until certain thresholds are hit.
   */
  temperature?: number;
}

export namespace Translations {
  export import TranslationCreateParams = TranslationsAPI.TranslationCreateParams;
}