Signed-off-by: mershi <mershi@tencent.com> Co-authored-by: mershi <mershi@tencent.com>
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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"""Tests for merging audio final outputs into text choices.
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Covers #7376: a non-streaming chat request with
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``modalities=["text", "audio"]`` used to return two choices with duplicate
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``index=0`` — one carrying the text and one carrying the audio — so clients
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reading ``choices[0]`` silently lost the audio.
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"""
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from __future__ import annotations
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import json
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import pytest
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from openai.types.chat.chat_completion_audio import ChatCompletionAudio as OpenAIChatCompletionAudio
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from vllm.entrypoints.openai.chat_completion.protocol import (
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ChatCompletionResponseChoice,
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ChatMessage,
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)
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from vllm.entrypoints.serve.engine.protocol import UsageInfo
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from vllm_omni.entrypoints.openai.protocol.audio import AudioChunkMetadata
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from vllm_omni.entrypoints.openai.protocol.chat_completion import (
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OmniChatCompletionResponse,
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OmniChatCompletionResponseChoice,
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)
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from vllm_omni.entrypoints.openai.serving_chat import OmniOpenAIServingChat
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pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
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def _text_choice(index: int, content: str) -> ChatCompletionResponseChoice:
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return ChatCompletionResponseChoice(
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index=index,
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message=ChatMessage(role="assistant", content=content),
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logprobs=None,
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finish_reason="stop",
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stop_reason=None,
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)
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def _audio_choice(index: int, data: str = "Zm9v") -> OmniChatCompletionResponseChoice:
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return OmniChatCompletionResponseChoice(
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index=index,
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message=ChatMessage(
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role="assistant",
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audio=OpenAIChatCompletionAudio(id=f"audio-{index}", data=data, expires_at=0, transcript=""),
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),
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audio_metadata=AudioChunkMetadata(format="wav", sample_rate_hz=24000, frame_count=17, channels=1),
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logprobs=None,
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finish_reason="stop",
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stop_reason=None,
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)
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@pytest.fixture
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def serving_chat():
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return object.__new__(OmniOpenAIServingChat)
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class TestMergeAudioChoices:
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def test_text_and_audio_merge_into_single_choice(self, serving_chat):
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merged = serving_chat._merge_audio_choices([_text_choice(0, "hello")], [_audio_choice(0)])
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assert len(merged) == 1
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assert merged[0].index == 0
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assert merged[0].message.content == "hello"
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assert merged[0].message.audio is not None
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assert merged[0].message.audio.data == "Zm9v"
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assert isinstance(merged[0], OmniChatCompletionResponseChoice)
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assert merged[0].audio_metadata is not None
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assert merged[0].audio_metadata.format == "wav"
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def test_no_duplicate_indexes_in_serialized_response(self, serving_chat):
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"""The exact #7376 symptom: two choices with index=0 in one response."""
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merged = serving_chat._merge_audio_choices([_text_choice(0, "hello")], [_audio_choice(0)])
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response = OmniChatCompletionResponse(
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id="chatcmpl-7376",
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created=0,
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model="test-model",
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choices=merged,
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usage=UsageInfo(prompt_tokens=0, completion_tokens=0, total_tokens=0),
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)
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serialized = json.loads(response.model_dump_json())
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indexes = [c["index"] for c in serialized["choices"]]
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assert indexes == [0]
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assert serialized["choices"][0]["message"]["content"] == "hello"
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assert serialized["choices"][0]["message"]["audio"]["data"] == "Zm9v"
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assert serialized["choices"][0]["audio_metadata"]["format"] == "wav"
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def test_audio_only_request_keeps_standalone_choice(self, serving_chat):
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merged = serving_chat._merge_audio_choices([], [_audio_choice(0)])
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assert len(merged) == 1
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assert merged[0].message.audio is not None
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assert merged[0].message.content is None
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def test_n_gt_1_merges_by_index(self, serving_chat):
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text_choices = [_text_choice(0, "first"), _text_choice(1, "second")]
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audio_choices = [_audio_choice(0, "AAAA"), _audio_choice(1, "BBBB")]
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merged = serving_chat._merge_audio_choices(text_choices, audio_choices)
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assert len(merged) == 2
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assert [c.index for c in merged] == [0, 1]
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assert merged[0].message.content == "first"
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assert merged[0].message.audio.data == "AAAA"
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assert merged[1].message.content == "second"
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assert merged[1].message.audio.data == "BBBB"
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def test_audio_without_matching_text_choice_is_appended(self, serving_chat):
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# n=1 text but the audio stage reported a second index (defensive):
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# the unmatched audio choice must not be dropped.
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merged = serving_chat._merge_audio_choices([_text_choice(0, "only")], [_audio_choice(1)])
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assert len(merged) == 2
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assert merged[0].message.audio is None
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assert merged[1].message.audio is not None
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def test_text_choice_fields_survive_merge(self, serving_chat):
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text = ChatCompletionResponseChoice(
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index=0,
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message=ChatMessage(role="assistant", content="kept"),
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logprobs=None,
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finish_reason="length",
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stop_reason="max_tokens",
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)
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merged = serving_chat._merge_audio_choices([text], [_audio_choice(0)])
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assert merged[0].finish_reason == "length"
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assert merged[0].stop_reason == "max_tokens"
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assert merged[0].message.content == "kept"
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@@ -2437,6 +2437,12 @@ class OmniOpenAIServingChat(OpenAIServingChat, AudioMixin):
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kv_transfer_params = None
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response_metrics: dict[str, Any] | None = None
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# For text+audio requests the audio final output shares output
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# indexes with the text final output. Collect audio choices and
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# merge them into the matching text choice after the loop instead
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# of appending duplicate-index choices (#7376).
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pending_audio_choices: list[OmniChatCompletionResponseChoice] = []
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# Build requested modalities set for filtering
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requested_modalities = (
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set(request.modalities) if hasattr(request, "modalities") and request.modalities else None
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@@ -2486,9 +2492,11 @@ class OmniOpenAIServingChat(OpenAIServingChat, AudioMixin):
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)
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]
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elif omni_outputs.final_output_type == "audio":
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choices_data = self._create_audio_choice(omni_outputs, role, request, stream=False)
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if isinstance(choices_data, ErrorResponse):
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return choices_data
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audio_data = self._create_audio_choice(omni_outputs, role, request, stream=False)
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if isinstance(audio_data, ErrorResponse):
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return audio_data
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pending_audio_choices.extend(audio_data)
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choices_data = []
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elif omni_outputs.final_output_type == "image":
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choices_data = self._create_image_choice(omni_outputs, role, request, stream=False)
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else:
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@@ -2507,6 +2515,9 @@ class OmniOpenAIServingChat(OpenAIServingChat, AudioMixin):
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response_metrics.update(extra)
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choices.extend(choices_data)
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if pending_audio_choices:
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choices = self._merge_audio_choices(choices, pending_audio_choices)
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response_metrics = self._filter_stage_metrics_detail(response_metrics, request)
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# Compute prompt_text for non-streaming response (upstream #42052)
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@@ -2819,6 +2830,37 @@ class OmniOpenAIServingChat(OpenAIServingChat, AudioMixin):
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return choices, usage, prompt_logprobs, prompt_token_ids, kv_transfer_params
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def _merge_audio_choices(
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self,
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choices: list[ChatCompletionResponseChoice],
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audio_choices: list[OmniChatCompletionResponseChoice],
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) -> list[ChatCompletionResponseChoice]:
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"""Fold audio outputs into the matching text choice (#7376).
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A non-streaming chat request with ``modalities=["text", "audio"]``
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produces two final outputs (text and audio) whose entries share the
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same output index. Appending both as separate choices yields
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duplicate ``index`` values, and clients that read ``choices[0]``
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never see the audio. Merge the audio object and its metadata into
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the choice with the matching index; audio-only requests (no text
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choice) keep the standalone audio choice.
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"""
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for audio_choice in audio_choices:
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for i, existing in enumerate(choices):
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if existing.index != audio_choice.index:
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continue
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merged = OmniChatCompletionResponseChoice(
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**existing.model_dump(exclude={"message"}),
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message=existing.message,
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audio_metadata=audio_choice.audio_metadata,
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)
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merged.message.audio = audio_choice.message.audio
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choices[i] = merged
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break
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else:
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choices.append(audio_choice)
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return choices
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def _create_audio_choice(
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self, omni_outputs: OmniRequestOutput, role: str, request: ChatCompletionRequest, stream: bool = False
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) -> list[ChatCompletionResponseChoice] | list[ChatCompletionResponseStreamChoice] | ErrorResponse:
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