from __future__ import annotations import base64 from pathlib import Path from typing import Any from urllib.parse import urlsplit from ..http import post_json from ..models import SttMode, SttModelConfig, TranscriptionResult from .audio import wav_audio_bytes MODAL_ENDPOINT_DESCRIPTION = "Modal managed endpoint (set MODAL_INKLING_ENDPOINT)" MODAL_DEFAULT_SAMPLE_RATE_HZ = 16000 MODAL_DEFAULT_CHANNELS = 1 MODAL_DEFAULT_PROMPT = "Transcribe the following speech to text." MODAL_DEFAULT_MAX_TOKENS = 4096 MODAL_DEFAULT_REASONING_EFFORT = "max" MODAL_REASONING_EFFORTS = {"none", "minimal", "low", "medium", "high", "max"} MODAL_DEFAULT_TIMEOUT_SECONDS = 600.0 MODAL_DEFAULT_MAX_ATTEMPTS = 10 def transcribe( audio_path: Path, stt_model: SttModelConfig, endpoint: str, proxy_token_id: str, proxy_token_secret: str, ) -> TranscriptionResult: if stt_model.mode != SttMode.BATCH: raise ValueError("Modal Inkling is only supported through batch chat completions.") sample_rate = int(stt_model.options.get("sample_rate", MODAL_DEFAULT_SAMPLE_RATE_HZ)) channels = int(stt_model.options.get("channels", MODAL_DEFAULT_CHANNELS)) audio = wav_audio_bytes(audio_path, sample_rate=sample_rate, channels=channels) payload = modal_transcription_payload(audio, stt_model) response = post_json( modal_chat_completions_endpoint(endpoint), payload, { "Modal-Key": proxy_token_id, "Modal-Secret": proxy_token_secret, }, timeout=float(stt_model.options.get("timeout_seconds", MODAL_DEFAULT_TIMEOUT_SECONDS)), max_attempts=int(stt_model.options.get("max_attempts", MODAL_DEFAULT_MAX_ATTEMPTS)), retryable_empty_error_status_codes={400}, ) return {"transcript": modal_transcript_from_response(response)} def modal_chat_completions_endpoint(endpoint: str) -> str: normalized = endpoint.strip().rstrip("/") parsed = urlsplit(normalized) if parsed.scheme != "https" or not parsed.netloc: raise ValueError("MODAL_INKLING_ENDPOINT must be a valid HTTPS URL.") if normalized.endswith("/v1/chat/completions"): return normalized if normalized.endswith("/v1"): return f"{normalized}/chat/completions" return f"{normalized}/v1/chat/completions" def modal_transcription_payload( audio: bytes, stt_model: SttModelConfig, ) -> dict[str, Any]: prompt = stt_model.options.get("prompt", MODAL_DEFAULT_PROMPT) if not isinstance(prompt, str) or not prompt.strip(): raise ValueError("Modal Inkling transcription prompt must be a non-empty string.") max_tokens = stt_model.options.get("max_tokens", MODAL_DEFAULT_MAX_TOKENS) if isinstance(max_tokens, bool) or not isinstance(max_tokens, int) or max_tokens <= 0: raise ValueError("Modal Inkling max_tokens must be a positive integer.") reasoning_effort = stt_model.options.get("reasoning_effort", MODAL_DEFAULT_REASONING_EFFORT) if not isinstance(reasoning_effort, str) or reasoning_effort not in MODAL_REASONING_EFFORTS: allowed = ", ".join(sorted(MODAL_REASONING_EFFORTS)) raise ValueError(f"Modal Inkling reasoning_effort must be one of: {allowed}.") encoded_audio = base64.b64encode(audio).decode("ascii") return { "model": stt_model.model, "max_tokens": max_tokens, "reasoning_effort": reasoning_effort, "messages": [ { "role": "user", "content": [ {"type": "text", "text": prompt}, { "type": "audio_url", "audio_url": {"url": f"data:audio/wav;base64,{encoded_audio}"}, }, ], } ], } def modal_transcript_from_response(response: Any) -> str: try: content = response["choices"][0]["message"]["content"] except (KeyError, IndexError, TypeError) as exc: raise ValueError("Modal Inkling response did not include message content.") from exc if not isinstance(content, str): raise ValueError("Modal Inkling response message content must be a string.") return content