Add minimal vLLM 0.16.1 build repo for BI-V150

vllm/entrypoints/openai/realtime/protocol.py

@@ -0,0 +1,68 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+import time
+from typing import Literal
+
+from pydantic import Field
+
+from vllm.entrypoints.openai.engine.protocol import (
+    OpenAIBaseModel,
+    UsageInfo,
+)
+from vllm.utils import random_uuid
+
+# Client -> Server Events
+
+
+class InputAudioBufferAppend(OpenAIBaseModel):
+    """Append audio chunk to buffer"""
+
+    type: Literal["input_audio_buffer.append"] = "input_audio_buffer.append"
+    audio: str  # base64-encoded PCM16 @ 16kHz
+
+
+class InputAudioBufferCommit(OpenAIBaseModel):
+    """Process accumulated audio buffer"""
+
+    type: Literal["input_audio_buffer.commit"] = "input_audio_buffer.commit"
+    final: bool = False
+
+
+# Server -> Client Events
+class SessionUpdate(OpenAIBaseModel):
+    """Configure session parameters"""
+
+    type: Literal["session.update"] = "session.update"
+    model: str | None = None
+
+
+class SessionCreated(OpenAIBaseModel):
+    """Connection established notification"""
+
+    type: Literal["session.created"] = "session.created"
+    id: str = Field(default_factory=lambda: f"sess-{random_uuid()}")
+    created: int = Field(default_factory=lambda: int(time.time()))
+
+
+class TranscriptionDelta(OpenAIBaseModel):
+    """Incremental transcription text"""
+
+    type: Literal["transcription.delta"] = "transcription.delta"
+    delta: str  # Incremental text
+
+
+class TranscriptionDone(OpenAIBaseModel):
+    """Final transcription with usage stats"""
+
+    type: Literal["transcription.done"] = "transcription.done"
+    text: str  # Complete transcription
+    usage: UsageInfo | None = None
+
+
+class ErrorEvent(OpenAIBaseModel):
+    """Error notification"""
+
+    type: Literal["error"] = "error"
+    error: str
+    code: str | None = None