524 lines
21 KiB
Python
524 lines
21 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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"""PersonaPlex on the unified full-duplex framework: the plugin contract and the E2E driver helpers."""
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from __future__ import annotations
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import argparse
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import base64
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from pathlib import Path
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from types import SimpleNamespace
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from typing import cast
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import numpy as np
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import pytest
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from vllm.sampling_params import SamplingParams
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from tests.e2e.online_serving import personaplex_realtime_duplex as e2e_driver
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from vllm_omni.config.stage_config import load_deploy_config, merge_pipeline_deploy
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from vllm_omni.engine.arg_utils import OmniEngineArgs
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from vllm_omni.engine.duplex.config import DuplexSessionConfig
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from vllm_omni.engine.duplex.contracts import DuplexFence
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from vllm_omni.engine.duplex.plugin import (
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DefaultDuplexModelSessionState,
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DuplexDataPlaneContext,
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DuplexRuntimeConfigError,
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load_duplex_plugin,
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validate_duplex_plugin_sampling,
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)
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from vllm_omni.model_executor.models.personaplex.configuration_personaplex import PersonaPlexConfig
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from vllm_omni.model_executor.models.personaplex.duplex import stage0
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from vllm_omni.model_executor.models.personaplex.duplex.config import DEFAULT_PERSONA, FRAME_SIZE, SAMPLE_RATE
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from vllm_omni.model_executor.models.personaplex.duplex.data_plane import PersonaPlexDataPlaneSession
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from vllm_omni.model_executor.models.personaplex.duplex.input import PersonaPlexPcmAppendBuffer
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from vllm_omni.model_executor.models.personaplex.duplex.plugin import (
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PRIVATE_RUNTIME_CONFIG_KEYS,
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PersonaPlexDuplexPlugin,
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PersonaPlexSessionState,
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)
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from vllm_omni.model_executor.models.personaplex.pipeline import PERSONAPLEX_PIPELINE
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pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
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DEPLOY_PATH = Path(__file__).parents[5] / "vllm_omni" / "deploy" / "personaplex.yaml"
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def _pcm_payload(samples: np.ndarray, *, sample_rate_hz: int = SAMPLE_RATE) -> dict[str, object]:
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samples = np.ascontiguousarray(samples, dtype="<f4")
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return {
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"type": "audio",
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"format": "pcm_f32le",
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"sample_rate_hz": sample_rate_hz,
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"audio": base64.b64encode(samples.tobytes()).decode("ascii"),
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}
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def _encode_audio(audio, _sample_rate, _response_format, _speed):
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if audio is None:
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return None
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size = int(np.asarray(audio, dtype=np.float32).size)
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return f"audio-{size}" if size else None
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def _plugin() -> PersonaPlexDuplexPlugin:
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return PersonaPlexDuplexPlugin(_encode_audio)
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# --------------------------------------------------------------------------- #
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# Pipeline binding #
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# --------------------------------------------------------------------------- #
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def test_pipeline_declares_the_duplex_plugin_and_no_pre_framework_wiring() -> None:
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assert PERSONAPLEX_PIPELINE.duplex_plugin == (
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"vllm_omni.model_executor.models.personaplex.duplex.plugin.PersonaPlexDuplexPlugin"
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)
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assert PERSONAPLEX_PIPELINE.duplex_runtime_extension is None
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assert PERSONAPLEX_PIPELINE.duplex_serving_adapter is None
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assert PERSONAPLEX_PIPELINE.duplex_control_enabled is False
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plugin = load_duplex_plugin(PERSONAPLEX_PIPELINE.duplex_plugin, _encode_audio)
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assert isinstance(plugin, PersonaPlexDuplexPlugin)
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assert plugin.plugin_id == "personaplex"
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assert isinstance(plugin.data_plane, PersonaPlexDataPlaneSession)
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validate_duplex_plugin_sampling(plugin, sampling_defaults=(SamplingParams(), SamplingParams()))
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@pytest.mark.parametrize(
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("engine_arg", "expected"),
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[("skip_tokenizer_init", True), ("enable_prefix_caching", False)],
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)
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def test_personaplex_stage_engine_args(engine_arg: str, expected: bool) -> None:
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stages = merge_pipeline_deploy(PERSONAPLEX_PIPELINE, load_deploy_config(DEPLOY_PATH))
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assert [stage.yaml_engine_args.get(engine_arg) for stage in stages] == [expected, expected]
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def test_personaplex_deploy_is_duplex_and_propagates_capacity_to_all_model_stages() -> None:
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deploy = load_deploy_config(DEPLOY_PATH)
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stages = merge_pipeline_deploy(PERSONAPLEX_PIPELINE, deploy)
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assert deploy.session_mode == "duplex"
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assert deploy.duplex_session.max_sessions == 2
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assert [stage.yaml_engine_args.get("duplex_max_sessions") for stage in stages] == [2, 2]
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# Lockstep frames of all sessions must share a step (see the deploy comment).
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assert stages[0].yaml_engine_args.get("async_scheduling") is False
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assert "personaplex_codec_max_sessions" not in deploy.connectors["connector_of_shared_memory"]["extra"]
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def test_personaplex_deploy_enables_mimi_cuda_graphs_on_both_stage_configs(tmp_path: Path) -> None:
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# The checkpoint ships an empty config.json; each stage's engine args build
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# its PersonaPlexConfig from that plus the deploy YAML's hf_overrides.
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(tmp_path / "config.json").write_text("{}")
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stages = merge_pipeline_deploy(PERSONAPLEX_PIPELINE, load_deploy_config(DEPLOY_PATH))
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def resolve(model_arch: str, hf_overrides: dict[str, object] | None) -> PersonaPlexConfig:
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engine_args = OmniEngineArgs(
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model=str(tmp_path),
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model_arch=model_arch,
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hf_overrides=hf_overrides,
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skip_tokenizer_init=True,
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trust_remote_code=True,
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)
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config = engine_args.create_model_config().hf_config
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assert isinstance(config, PersonaPlexConfig)
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return config
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assert [stage.yaml_engine_args["model_arch"] for stage in stages] == [
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"PersonaPlexTalkerForConditionalGeneration",
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"PersonaPlexCode2Wav",
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]
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for stage in stages:
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model_arch = stage.yaml_engine_args["model_arch"]
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assert stage.yaml_engine_args["hf_overrides"] == {"mimi_cuda_graphs": True}
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assert resolve(model_arch, dict(stage.yaml_engine_args["hf_overrides"])).mimi_cuda_graphs is True
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# Without the deploy override the flag keeps its default.
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assert resolve(model_arch, None).mimi_cuda_graphs is False
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# --------------------------------------------------------------------------- #
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# Session policy #
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# --------------------------------------------------------------------------- #
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def test_capabilities_are_honest() -> None:
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single = _plugin().capabilities(max_sessions=1)
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multi = _plugin().capabilities(max_sessions=2)
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assert multi.as_dict()["implementation_level"] == "model_native_duplex"
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assert multi.as_dict()["input_modes"] == ["append_audio_chunk"]
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assert multi.chunk_period_ms == 80
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assert single.supports_multi_session is False
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assert multi.supports_multi_session is True
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assert multi.supports_multi_session_same_replica is True
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assert multi.supports_barge_in is False
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assert multi.supports_client_commit is False
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assert multi.supports_external_turn_signal is False
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assert multi.supports_session_resume is False
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assert multi.supports_audio_truncate is False
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assert multi.supports_chat_completions is False
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assert multi.session_admission_mode == "engine_managed"
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def test_session_state_is_the_framework_default_with_the_personaplex_buffer() -> None:
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state = _plugin().create_session_state()
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assert isinstance(state, PersonaPlexSessionState)
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assert isinstance(state, DefaultDuplexModelSessionState)
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assert isinstance(state.audio_buffer, PersonaPlexPcmAppendBuffer)
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state.retain_committed_audio({"audio": ""}, operation_id="op", reserved_bytes=8)
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assert state.clear_committed_audio() == 8
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assert state.committed_audio_payload is None
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def test_private_runtime_keys_are_rejected_in_extra_body() -> None:
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plugin = _plugin()
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assert PRIVATE_RUNTIME_CONFIG_KEYS == {
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"personaplex_prefill_slots",
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"personaplex_model_path",
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"personaplex_voice_prompt",
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"personaplex_persona",
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}
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plugin.validate_client_extra_body({"auto_response": True})
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plugin.validate_client_extra_body(None)
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with pytest.raises(DuplexRuntimeConfigError, match="personaplex_persona") as excinfo:
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plugin.validate_client_extra_body({"personaplex_persona": "x", "auto_response": True})
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assert excinfo.value.code == "invalid_duplex_runtime_config"
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@pytest.mark.asyncio
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async def test_prepare_runtime_config_resolves_voice_and_prefill_slots_once(monkeypatch) -> None:
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calls: list[tuple[str, str, str]] = []
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def fake_prefill_slots(model_path: str, voice: str, persona: str) -> int:
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calls.append((model_path, voice, persona))
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return 42
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monkeypatch.setattr(stage0, "personaplex_prefill_slots", fake_prefill_slots)
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plugin = _plugin()
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model_config = SimpleNamespace(model="/models/personaplex")
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runtime_config = await plugin.prepare_runtime_config(
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DuplexSessionConfig(voice="NATM1.pt", instructions="Be brief."),
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model_config=model_config,
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)
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again = await plugin.prepare_runtime_config(
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DuplexSessionConfig(voice="NATM1.pt", instructions="Be brief."),
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model_config=model_config,
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)
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defaults = await plugin.prepare_runtime_config(DuplexSessionConfig(), model_config=model_config)
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assert runtime_config == {
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"personaplex_model_path": "/models/personaplex",
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"personaplex_voice_prompt": "NATM1.pt",
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"personaplex_persona": "Be brief.",
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"personaplex_prefill_slots": 42,
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}
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assert again == runtime_config
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assert defaults["personaplex_voice_prompt"] == "NATF2.pt"
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assert defaults["personaplex_persona"] == DEFAULT_PERSONA
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# The voice bundle and tokenizer are read once per (model, voice, persona).
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assert calls == [
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("/models/personaplex", "NATM1.pt", "Be brief."),
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("/models/personaplex", "NATF2.pt", DEFAULT_PERSONA),
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]
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@pytest.mark.asyncio
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async def test_prepare_runtime_config_reports_prefill_failures_as_runtime_config_errors(monkeypatch) -> None:
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def failing_prefill_slots(model_path: str, voice: str, persona: str) -> int:
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raise FileNotFoundError("voices.tgz missing")
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monkeypatch.setattr(stage0, "personaplex_prefill_slots", failing_prefill_slots)
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with pytest.raises(DuplexRuntimeConfigError, match="voices.tgz missing") as excinfo:
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await _plugin().prepare_runtime_config(DuplexSessionConfig(), model_config=SimpleNamespace(model="/m"))
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assert excinfo.value.code == "prefill_unavailable"
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with pytest.raises(DuplexRuntimeConfigError, match="model path") as excinfo:
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await _plugin().prepare_runtime_config(DuplexSessionConfig(), model_config=None)
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assert excinfo.value.code == "model_path_unavailable"
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@pytest.mark.parametrize("voice", ["../NATF2.pt", "voices/NATF2.pt", "NATF2.wav", "/abs/NATF2.pt"])
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@pytest.mark.asyncio
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async def test_prepare_runtime_config_rejects_voices_that_are_not_bundled_basenames(voice: str) -> None:
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with pytest.raises(DuplexRuntimeConfigError, match="bundled .pt basename") as excinfo:
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await _plugin().prepare_runtime_config(
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DuplexSessionConfig(voice=voice), model_config=SimpleNamespace(model="/m")
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)
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assert excinfo.value.code == "invalid_voice"
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def test_runtime_config_update_rejects_changed_persona() -> None:
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plugin = _plugin()
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short_persona = "You are a helpful assistant."
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current = {"personaplex_persona": short_persona, "personaplex_voice_prompt": "NATF2.pt"}
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with pytest.raises(DuplexRuntimeConfigError, match="persona") as excinfo:
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plugin.runtime_config_for_update(DuplexSessionConfig(instructions="You are a pirate."), current)
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assert excinfo.value.code == "persona_update_unsupported"
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unchanged = plugin.runtime_config_for_update(DuplexSessionConfig(instructions=short_persona), current)
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assert unchanged["personaplex_persona"] == short_persona
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assert unchanged is not current
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def test_runtime_config_update_rejects_changed_voice() -> None:
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plugin = _plugin()
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current = {"personaplex_persona": DEFAULT_PERSONA, "personaplex_voice_prompt": "NATF2.pt"}
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with pytest.raises(DuplexRuntimeConfigError, match="voice") as excinfo:
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plugin.runtime_config_for_update(DuplexSessionConfig(voice="NATM1.pt"), current)
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assert excinfo.value.code == "voice_update_unsupported"
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unchanged = plugin.runtime_config_for_update(DuplexSessionConfig(voice="NATF2.pt"), current)
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assert unchanged["personaplex_voice_prompt"] == "NATF2.pt"
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def test_data_plane_context_is_the_framework_default() -> None:
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context = _plugin().data_plane_context(
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epoch=1,
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turn_id=2,
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active_response_turn_id=None,
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active_response_id="resp",
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auto_responds=True,
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response_format="pcm16",
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speed=None,
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modalities=("audio",),
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)
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assert isinstance(context, DuplexDataPlaneContext)
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assert context.response_format == "pcm16" and context.epoch == 1
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# --------------------------------------------------------------------------- #
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# Engine policy #
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# --------------------------------------------------------------------------- #
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def test_sampling_params_are_greedy_one_token_on_stage0_only() -> None:
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defaults = (SamplingParams(temperature=0.8, top_k=10, max_tokens=10), SamplingParams(max_tokens=1024))
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configured = _plugin().configure_sampling_params(runtime_config={}, defaults=defaults)
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assert configured[0].temperature == 0.0
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assert configured[0].top_k == 1
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assert configured[0].max_tokens == 1
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assert configured[1] is defaults[1]
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assert defaults[0].max_tokens == 10
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assert _plugin().configure_sampling_params(runtime_config={}, defaults=()) == ()
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def test_plan_append_reserves_one_slot_plus_prefill_on_the_first_seq() -> None:
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plugin = _plugin()
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fence = DuplexFence("session", epoch=3, turn_id=1)
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common = {
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"request_id": "req",
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"fence": fence,
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"session_config": {"instructions": "Be concise."},
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"runtime_config": {"personaplex_prefill_slots": 4},
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"turn_seq": 1,
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"payload": _pcm_payload(np.zeros(FRAME_SIZE, np.float32)),
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"final": False,
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"sampling_params": SamplingParams(),
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}
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first = plugin.plan_append(seq=1, **common)
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second = plugin.plan_append(seq=2, **common)
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assert len(first.prompt["prompt_token_ids"]) == 5
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assert len(second.prompt["prompt_token_ids"]) == 1
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duplex = first.prompt["model_intermediate_buffer"]["duplex"]
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assert duplex["session_id"] == "session"
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assert duplex["epoch"] == 3
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assert duplex["turn_id"] == 1
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assert duplex["seq"] == 1
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assert duplex["data_plane"] is True
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assert duplex["fence"] == fence
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assert duplex["scheduler_token_budget"] == 5
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assert duplex["runtime_config"] == {"personaplex_prefill_slots": 4}
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assert "incarnation" not in duplex
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assert first.prompt["model_intermediate_buffer"]["global_request_id"] == ["session"]
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@pytest.mark.parametrize(
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("payload", "match"),
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[
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(_pcm_payload(np.zeros(FRAME_SIZE - 1, np.float32)), "exactly 1920 samples"),
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(_pcm_payload(np.zeros(FRAME_SIZE, np.float32), sample_rate_hz=16000), "sample_rate_hz must be 24000"),
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({"format": "pcm16", "sample_rate_hz": SAMPLE_RATE, "audio": ""}, "format must be pcm_f32le"),
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("frame", "must be a mapping"),
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],
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)
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def test_plan_append_rejects_anything_but_one_24k_frame(payload: object, match: str) -> None:
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with pytest.raises(ValueError, match=match):
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_plugin().plan_append(
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request_id="req",
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fence=DuplexFence("session"),
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session_config={},
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runtime_config={},
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seq=1,
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turn_seq=1,
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payload=payload,
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final=False,
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sampling_params=None,
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)
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def test_plan_append_rejects_a_malformed_prefill_slot_count() -> None:
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with pytest.raises(ValueError, match="personaplex_prefill_slots"):
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_plugin().plan_append(
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request_id="req",
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fence=DuplexFence("session"),
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session_config={},
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runtime_config={"personaplex_prefill_slots": "many"},
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seq=1,
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turn_seq=1,
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payload=_pcm_payload(np.zeros(FRAME_SIZE, np.float32)),
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final=False,
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sampling_params=None,
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)
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def test_decide_output_never_decides() -> None:
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assert (
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_plugin().decide_output(
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stage_id=0,
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final_stage_id=1,
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segment_finished=True,
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segment_token_ids=(1,),
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segment_output_metadata={},
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output=SimpleNamespace(outputs=[]),
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)
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is None
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)
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def test_silence_unit_is_one_24k_frame_that_plan_append_accepts() -> None:
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plugin = _plugin()
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unit = plugin.silence_unit_payload()
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assert unit["format"] == "pcm_f32le"
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assert unit["sample_rate_hz"] == SAMPLE_RATE
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assert len(base64.b64decode(unit["audio"])) == FRAME_SIZE * 4
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plan = plugin.plan_append(
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request_id="req",
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fence=DuplexFence("session"),
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session_config={},
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runtime_config={},
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seq=7,
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turn_seq=7,
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payload=unit,
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final=False,
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sampling_params=None,
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)
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assert len(plan.prompt["prompt_token_ids"]) == 1
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# --------------------------------------------------------------------------- #
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# E2E driver helpers (CPU-checked parts of the GPU driver) #
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# --------------------------------------------------------------------------- #
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def _audio_client(frame_count: int = 10, *, voiced_frames: int = 0) -> e2e_driver.RawRealtimeProbe:
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"""A probe double carrying only the collected events the driver's result builder reads."""
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frames = np.full((frame_count, e2e_driver.FRAME_SAMPLES), 7, dtype="<i2")
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frames[:voiced_frames] = 1000
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raw = frames.tobytes()
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event = {
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"type": "response.output_audio.delta",
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"response_id": "response-1",
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"sample_rate_hz": e2e_driver.SAMPLE_RATE_HZ,
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"metadata": {
|
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"vllm_omni": {
|
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"runtime_impl": "scheduler_data_plane",
|
|
"uses_model_runner_scheduler": True,
|
|
"runner_kv_backed": True,
|
|
}
|
|
},
|
|
}
|
|
events = SimpleNamespace(events=[event], response_audio={"response-1": [raw]}, audio_bytes=lambda: raw)
|
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return cast(e2e_driver.RawRealtimeProbe, SimpleNamespace(events=events))
|
|
|
|
|
|
def test_realtime_audio_frame_stats_separate_voiced_and_silent_frames() -> None:
|
|
silent = np.zeros(e2e_driver.FRAME_SAMPLES, dtype="<i2")
|
|
voiced = np.full(e2e_driver.FRAME_SAMPLES, 1000, dtype="<i2")
|
|
|
|
stats = e2e_driver._audio_frame_stats(
|
|
silent.tobytes() + voiced.tobytes(),
|
|
input_frames=3,
|
|
voiced_frame_rms_threshold=1e-4,
|
|
)
|
|
|
|
assert stats == {
|
|
"output_frames": 2,
|
|
"voiced_frames": 1,
|
|
"silent_frames": 1,
|
|
"frame_deficit": 1,
|
|
"frame_coverage_ratio": pytest.approx(2 / 3),
|
|
}
|
|
|
|
|
|
def test_realtime_audio_frame_stats_reject_partial_codec_frame() -> None:
|
|
partial_frame = np.zeros(e2e_driver.FRAME_SAMPLES - 1, dtype="<i2")
|
|
|
|
with pytest.raises(AssertionError, match="whole 80 ms codec frames"):
|
|
e2e_driver._audio_frame_stats(partial_frame.tobytes(), input_frames=1, voiced_frame_rms_threshold=1e-4)
|
|
|
|
|
|
@pytest.mark.parametrize("frame_count", [10, 40])
|
|
def test_e2e_driver_rejects_inaudible_sessions(frame_count: int) -> None:
|
|
args = argparse.Namespace(max_frame_deficit=4, voiced_frame_rms_threshold=1e-3, min_voiced_frames=5)
|
|
|
|
with pytest.raises(AssertionError, match="audible speech"):
|
|
e2e_driver._session_result(_audio_client(frame_count), input_frames=frame_count, args=args, minimum_chunks=1)
|
|
|
|
|
|
def test_e2e_driver_uses_absolute_audible_floor() -> None:
|
|
args = argparse.Namespace(max_frame_deficit=4, voiced_frame_rms_threshold=1e-3, min_voiced_frames=5)
|
|
|
|
e2e_driver._session_result(_audio_client(200, voiced_frames=5), input_frames=200, args=args, minimum_chunks=1)
|
|
|
|
|
|
def test_e2e_driver_defaults_replacement_to_full_input() -> None:
|
|
args = e2e_driver.parse_args(["--model", "/model", "--input-wav", "/input.wav"])
|
|
|
|
assert args.replacement_frames == 0
|
|
assert args.min_voiced_frames == 5
|
|
|
|
|
|
def test_e2e_driver_records_and_validates_input_sha256(tmp_path: Path) -> None:
|
|
input_wav = tmp_path / "input.wav"
|
|
input_wav.write_bytes(b"fixture-wav")
|
|
|
|
identity = e2e_driver._input_identity(
|
|
input_wav,
|
|
expected_sha256="bade4b3c163edde390ff391207d34a887257d8a9cc3b621cc8c618b6e6761304",
|
|
)
|
|
|
|
assert identity == {
|
|
"path": str(input_wav.resolve()),
|
|
"sha256": "bade4b3c163edde390ff391207d34a887257d8a9cc3b621cc8c618b6e6761304",
|
|
}
|
|
|
|
|
|
def test_e2e_driver_rejects_unexpected_input_sha256(tmp_path: Path) -> None:
|
|
input_wav = tmp_path / "input.wav"
|
|
input_wav.write_bytes(b"fixture-wav")
|
|
|
|
with pytest.raises(ValueError, match="input WAV SHA-256 mismatch"):
|
|
e2e_driver._input_identity(input_wav, expected_sha256="0" * 64)
|
|
|
|
|
|
def test_e2e_driver_lets_the_server_allocate_the_session_id() -> None:
|
|
url = e2e_driver._realtime_url("ws://127.0.0.1:8099/v1/realtime?duplex=1", "nvidia/personaplex-7b-v1")
|
|
|
|
assert "session_id=" not in url
|
|
assert "duplex=1" in url and "autostart=0" in url
|