vllm-omni/vllm_omni/__init__.py

"""
vLLM-omni: Multi-modality models inference and serving with
non-autoregressive structures.

This package extends vLLM beyond traditional text-based, autoregressive
generation to support multi-modality models with non-autoregressive
structures and non-textual outputs.

Architecture:
- 🟡 Modified: vLLM components modified for multimodal support
- 🔴 Added: New components for multimodal and non-autoregressive
  processing
"""

try:
    from . import patch  # noqa: F401
except ModuleNotFoundError as exc:  # pragma: no cover - optional dependency
    if exc.name != "vllm":
        raise
    # Allow importing vllm_omni without vllm (e.g., documentation builds)
    patch = None  # type: ignore
from .config import OmniModelConfig
from .entrypoints.async_omni_llm import AsyncOmniLLM

# Main entry points
from .entrypoints.omni_llm import OmniLLM

# from .version import __version__, __version_tuple__  # isort:skip


__all__ = [
    # "__version__",  # TODO: add __version__ back when it is implemented
    # "__version_tuple__",  # TODO: add __version_tuple__ back when it is implemented
    # Main components
    "OmniLLM",
    "AsyncOmniLLM",
    # Configuration
    "OmniModelConfig",
    # All other components are available through their respective modules
    # processors.*, schedulers.*, executors.*, etc.
]