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dev-assistant-mcp/node_modules/openai/resources/audio/translations.d.ts

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+import { APIResource } from "../../resource.js";
+import * as Core from "../../core.js";
+import * as AudioAPI from "./audio.js";
+import * as TranscriptionsAPI from "./transcriptions.js";
+export declare class Translations extends APIResource {
+    /**
+     * Translates audio into English.
+     *
+     * @example
+     * ```ts
+     * const translation = await client.audio.translations.create({
+     *   file: fs.createReadStream('speech.mp3'),
+     *   model: 'whisper-1',
+     * });
+     * ```
+     */
+    create(body: TranslationCreateParams<'json' | undefined>, options?: Core.RequestOptions): Core.APIPromise<Translation>;
+    create(body: TranslationCreateParams<'verbose_json'>, options?: Core.RequestOptions): Core.APIPromise<TranslationVerbose>;
+    create(body: TranslationCreateParams<'text' | 'srt' | 'vtt'>, options?: Core.RequestOptions): Core.APIPromise<string>;
+    create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise<Translation>;
+}
+export interface Translation {
+    text: string;
+}
+export interface TranslationVerbose {
+    /**
+     * The duration of the input audio.
+     */
+    duration: number;
+    /**
+     * The language of the output translation (always `english`).
+     */
+    language: string;
+    /**
+     * The translated text.
+     */
+    text: string;
+    /**
+     * Segments of the translated text and their corresponding details.
+     */
+    segments?: Array<TranscriptionsAPI.TranscriptionSegment>;
+}
+export type TranslationCreateResponse = Translation | TranslationVerbose;
+export interface TranslationCreateParams<ResponseFormat extends AudioAPI.AudioResponseFormat | undefined = AudioAPI.AudioResponseFormat | undefined> {
+    /**
+     * The audio file object (not file name) translate, in one of these formats: flac,
+     * mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+     */
+    file: Core.Uploadable;
+    /**
+     * ID of the model to use. Only `whisper-1` (which is powered by our open source
+     * Whisper V2 model) is currently available.
+     */
+    model: (string & {}) | AudioAPI.AudioModel;
+    /**
+     * An optional text to guide the model's style or continue a previous audio
+     * segment. The
+     * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+     * should be in English.
+     */
+    prompt?: string;
+    /**
+     * The format of the output, in one of these options: `json`, `text`, `srt`,
+     * `verbose_json`, or `vtt`.
+     */
+    response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';
+    /**
+     * 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 declare namespace Translations {
+    export { type Translation as Translation, type TranslationVerbose as TranslationVerbose, type TranslationCreateResponse as TranslationCreateResponse, type TranslationCreateParams as TranslationCreateParams, };
+}
+//# sourceMappingURL=translations.d.ts.map