"""
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
"""

__version__ = "0.1.0"
__author__ = "vLLM-omni Team"
__email__ = "hsliuustc@gmail.com"

# Main entry points
from .entrypoints.omni_llm import OmniLLM, AsyncOmniLLM
from .config import (
    OmniStageConfig,
    DiTConfig,
    DiTCacheConfig,
    create_ar_stage_config,
    create_dit_stage_config,
)

__all__ = [
    # Version info
    "__version__",
    "__author__", 
    "__email__",
    
    # Main components
    "OmniLLM",
    "AsyncOmniLLM",
    
    # Configuration
    "OmniStageConfig",
    "DiTConfig",
    "DiTCacheConfig",
    "create_ar_stage_config",
    "create_dit_stage_config",
    
    # All other components are available through their respective modules
    # processors.*, schedulers.*, executors.*, etc.
]