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79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
"""Wire schema for Realtime WS transcription sessions."""
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from __future__ import annotations
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from typing import Literal, Optional, Union
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from openai.types.realtime import SessionUpdateEvent as _SessionUpdateEvent
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from openai.types.realtime.audio_transcription import (
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AudioTranscription as _AudioTranscription,
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)
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from openai.types.realtime.realtime_audio_formats import AudioPCM as _AudioPCM
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from openai.types.realtime.realtime_audio_formats import AudioPCMA as _AudioPCMA
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from openai.types.realtime.realtime_audio_formats import AudioPCMU as _AudioPCMU
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from openai.types.realtime.realtime_transcription_session_audio import (
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RealtimeTranscriptionSessionAudio as _AudioCfg,
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)
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from openai.types.realtime.realtime_transcription_session_audio_input import (
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RealtimeTranscriptionSessionAudioInput as _AudioInputCfg,
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)
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from openai.types.realtime.realtime_transcription_session_create_request import (
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RealtimeTranscriptionSessionCreateRequest as _SessionCfg,
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)
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from pydantic import Field
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from typing_extensions import Annotated
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# Fallback rate when the client omits `audio.input.format.rate`. SDK pins
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# `AudioPCM.rate` to Literal[24000], so this matches the only value the SDK
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# accepts when the field is present.
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DEFAULT_INPUT_SAMPLE_RATE = 24000
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# Wire rates we accept on `audio.input.format.rate` and resample to
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# `adapter.model_sample_rate` server-side. 24000 matches the SDK pin;
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# 16000 and 48000 widen it to cover common ASR-client and consumer-audio
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# rates. Add a value here only after verifying transcription quality.
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SUPPORTED_INPUT_SAMPLE_RATES = (16000, 24000, 48000)
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class AudioPCM(_AudioPCM):
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type: Literal["audio/pcm"] = "audio/pcm"
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rate: Optional[int] = None
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class AudioPCMU(_AudioPCMU):
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type: Literal["audio/pcmu"] = "audio/pcmu"
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class AudioPCMA(_AudioPCMA):
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type: Literal["audio/pcma"] = "audio/pcma"
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AudioInputFormat = Annotated[
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Union[AudioPCM, AudioPCMU, AudioPCMA],
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Field(discriminator="type"),
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]
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class AudioTranscription(_AudioTranscription):
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# SDK pins model to Literal["whisper-1", "gpt-4o-*-transcribe", ...];
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# sglang serves arbitrary ASR models (Qwen3-ASR, etc.) and treats the
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# client-supplied name as echo-only.
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model: Optional[str] = None
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class TranscriptionSessionAudioInput(_AudioInputCfg):
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format: Optional[AudioInputFormat] = None
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transcription: Optional[AudioTranscription] = None
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class TranscriptionSessionAudio(_AudioCfg):
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input: Optional[TranscriptionSessionAudioInput] = None
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class TranscriptionSessionConfig(_SessionCfg):
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audio: Optional[TranscriptionSessionAudio] = None
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class SessionUpdateEvent(_SessionUpdateEvent):
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session: TranscriptionSessionConfig
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