wang.yuqiandgemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
d37e25ffbe
Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io> Signed-off-by: wang.yuqi <noooop@126.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from fastapi import APIRouter, WebSocket
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from vllm.logger import init_logger
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from .connection import RealtimeConnection
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logger = init_logger(__name__)
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router = APIRouter()
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@router.websocket("/v1/realtime")
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async def realtime_endpoint(websocket: WebSocket):
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"""WebSocket endpoint for realtime audio transcription.
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Protocol:
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1. Client connects to ws://host/v1/realtime
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2. Server sends session.created event
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3. Client optionally sends session.update with model/params
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4. Client sends input_audio_buffer.commit when ready
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5. Client sends input_audio_buffer.append events with base64 PCM16 chunks
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6. Server processes and sends transcription.delta events
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7. Server sends transcription.done with final text + usage
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8. Repeat from step 5 for next utterance
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9. Optionally, client sends input_audio_buffer.commit with final=True
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to signal audio input is finished. Useful when streaming audio files
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Audio format: PCM16, 16kHz, mono, base64-encoded
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"""
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app = websocket.app
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serving = app.state.openai_serving_realtime
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connection = RealtimeConnection(websocket, serving)
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await connection.handle_connection()
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