import { SDKCore } from "../core.js";
import { RequestOptions } from "../lib/sdks.js";
import * as components from "../models/components/index.js";
import { ConnectionError, InvalidRequestError, RequestAbortedError, RequestTimeoutError, UnexpectedClientError } from "../models/errors/httpclienterrors.js";
import { ResponseValidationError } from "../models/errors/responsevalidationerror.js";
import { SDKError } from "../models/errors/sdkerror.js";
import { SDKValidationError } from "../models/errors/sdkvalidationerror.js";
import * as operations from "../models/operations/index.js";
import { APIPromise } from "../types/async.js";
import { Result } from "../types/fp.js";
/**
 * Speech to text transcription
 *
 * @remarks
 * Convert audio to text using advanced speech recognition.
 *
 * **Complete File Upload (Standard)**
 * Use `Content-Type: multipart/form-data` to upload the complete audio file in one request. Maximum file size: 25MB.
 *
 * Example:
 * ```bash
 * curl -X POST "http://localhost:3000/api/v1/llm/speech/transcriptions?language=en" \
 *   -F "file=@audio.flac"
 * ```
 *
 * **Chunked Upload (Streaming)**
 * Use `Transfer-Encoding: chunked` header to stream audio data in chunks as it's being recorded. No need to know total file size upfront. Server buffers chunks until complete before processing. Maximum total size: 25MB.
 *
 * Example:
 * ```bash
 * curl -X POST "http://localhost:3000/api/v1/llm/speech/transcriptions?language=en" \
 *   -H "Transfer-Encoding: chunked" \
 *   -H "Content-Type: multipart/form-data" \
 *   --data-binary @audio.flac
 * ```
 *
 * **Supported Formats:** FLAC, MP3, MP4, MPEG, MPGA, M4A, OGG, WAV, WebM
 *
 * **Query Parameters:**
 * - `model` (optional): Transcription model identifier. Defaults to 'auto'.
 * - `language` (optional): ISO-639-1 or BCP-47 language code (e.g., "en", "en-US"). Auto-detects if not specified.
 * - `prompt` (optional): Legacy prompt parameter retained for backward compatibility.
 * - `temperature` (optional): Legacy temperature parameter retained for backward compatibility.
 * - `include_speaker_data` (optional): When `true`, include speaker diarization data and require WAV/PCM input. Otherwise transcription uses the standard compatibility path.
 *
 * **Response:** Returns transcribed text in JSON format.
 */
export declare function llmSpeechTranscribe(client: SDKCore, request: operations.TranscribeRequest, options?: RequestOptions): APIPromise<Result<components.TranscriptionResponse, SDKError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError>>;
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