# vagen/mllm_agent/model_interface/factory_model.py import logging from typing import Dict, Any, Optional from .base_model import BaseModelInterface from .base_model_config import BaseModelConfig from . import REGISTERED_MODEL logger = logging.getLogger(__name__) class ModelFactory: """ Factory for creating and managing model interfaces. Uses REGISTERED_MODEL to find and create model instances. """ @staticmethod def create(config: Dict[str, Any]) -> BaseModelInterface: """ Create a model interface based on configuration. Args: config: Configuration dictionary with model parameters Returns: Initialized model interface Raises: ValueError: If provider is unknown or initialization fails """ provider = config.get("provider", "vllm").lower() model_name = config.get("model_name", "") logger.info(f"Creating model interface for provider '{provider}' with model '{model_name}'") if provider not in REGISTERED_MODEL: available_providers = list(REGISTERED_MODEL.keys()) raise ValueError(f"Unknown provider '{provider}'. Available providers: {available_providers}") # Get model and config classes from registry model_cls = REGISTERED_MODEL[provider]["model_cls"] config_cls = REGISTERED_MODEL[provider]["config_cls"] # Get provider info to validate model_name supported_models = [] if hasattr(config_cls, 'get_provider_info'): provider_info = config_cls.get_provider_info() supported_models = provider_info.get("supported_models", []) # Validate model name before initialization if model_name and supported_models and model_name not in supported_models: raise ValueError( f"Invalid model '{model_name}' for provider '{provider}'. " f"Supported models: {supported_models}" ) try: # Create config instance model_config = config_cls(**config) # Create and return model instance return model_cls(model_config) except Exception as e: logger.error(f"Failed to initialize model interface: {str(e)}") raise ValueError(f"Failed to initialize model interface: {str(e)}") @staticmethod def create_from_config_instance(config: BaseModelConfig) -> BaseModelInterface: """ Create a model interface from a config instance. Args: config: Model configuration instance Returns: Initialized model interface """ # Find provider by checking config class type for provider, info in REGISTERED_MODEL.items(): if isinstance(config, info["config_cls"]): model_cls = info["model_cls"] return model_cls(config) raise ValueError(f"No registered provider found for config type {type(config).__name__}") @staticmethod def get_available_providers() -> Dict[str, Dict[str, Any]]: """ Get information about available model providers. Returns: Dictionary mapping provider names to their capabilities """ providers = {} for provider, info in REGISTERED_MODEL.items(): provider_info = { "model_class": info["model_cls"].__name__, "config_class": info["config_cls"].__name__, } # Add provider-specific info if available config_cls = info["config_cls"] if hasattr(config_cls, 'get_provider_info'): provider_info.update(config_cls.get_provider_info()) providers[provider] = provider_info return providers @staticmethod def validate_config(config: Dict[str, Any]) -> Dict[str, Any]: """ Validate and complete a model configuration with defaults. Args: config: Model configuration to validate Returns: Validated configuration with defaults applied """ provider = config.get("provider", "vllm").lower() if provider not in REGISTERED_MODEL: logger.warning(f"Unknown provider '{provider}' during validation") return config try: # Get config class from registry config_cls = REGISTERED_MODEL[provider]["config_cls"] # Create config instance (which applies defaults) model_config = config_cls(**config) # Convert back to dictionary return model_config.to_dict() except Exception as e: logger.warning(f"Could not validate config for provider {provider}: {e}") # Return original config if validation fails return config @staticmethod def create_from_yaml_config(yaml_config: Dict[str, Any], model_name: str) -> BaseModelInterface: """ Create a model interface from YAML config format. Args: yaml_config: Full YAML config with potentially multiple models model_name: Name of the specific model to create Returns: Initialized model interface Raises: KeyError: If model_name not found in config """ if "models" in yaml_config: models_config = yaml_config["models"] else: models_config = yaml_config if model_name not in models_config: raise KeyError(f"Model '{model_name}' not found in configuration") model_config = models_config[model_name] return ModelFactory.create(model_config) @staticmethod def is_provider_supported(provider: str) -> bool: """ Check if a provider is supported. Args: provider: Provider name to check Returns: True if provider is supported, False otherwise """ return provider.lower() in REGISTERED_MODEL