Class LLMModelConfig

openevolve/config.py:51–88

Configuration for a single LLM model

@dataclass
class LLMModelConfig:
    """Configuration for a single LLM model"""

    # API configuration
    api_base: str = None
    api_key: Optional[str] = None
    name: str = None

    # Custom LLM client
    init_client: Optional[Callable] = None

    # Weight for model in ensemble
    weight: float = 1.0

    # Generation parameters
    system_message: Optional[str] = None
    temperature: float | None = None
    top_p: float | None = None
    max_tokens: int = None

    # Request parameters
    timeout: int = None
    retries: int = None
    retry_delay: int = None

    # Reproducibility
    random_seed: Optional[int] = None

    # Reasoning parameters
    reasoning_effort: Optional[str] = None

    # Manual mode (human-in-the-loop)
    manual_mode: Optional[bool] = None
    _manual_queue_dir: Optional[str] = None

    def __post_init__(self):
        """Post-initialization to resolve ${VAR} env var references in api_key"""
        self.api_key = _resolve_env_var(self.api_key)


@dataclass