Method rebuild_models

config.py:214–256

Rebuild the models list, typically after CLI overrides change primary/secondary model fields.

(self)

                    setattr(model, key, value)

    def rebuild_models(self) -> None:
        """Rebuild the models list, typically after CLI overrides change primary/secondary model fields."""
        # Clear existing models lists
        self.models = []
        self.evaluator_models = []

        # Re-run the same model generation logic from __post_init__
        if self.primary_model:
            primary_model = LLMModelConfig(
                name=self.primary_model, weight=self.primary_model_weight or 1.0
            )
            self.models.append(primary_model)

        if self.secondary_model:
            if self.secondary_model_weight is None or self.secondary_model_weight > 0:
                secondary_model = LLMModelConfig(
                    name=self.secondary_model,
                    weight=(
                        self.secondary_model_weight
                        if self.secondary_model_weight is not None
                        else 0.2
                    ),
                )
                self.models.append(secondary_model)

        # Default evaluator models to evolution models if not specified
        if not self.evaluator_models:
            self.evaluator_models = self.models.copy()

        # Re-apply shared configuration values to the newly rebuilt models
        shared_config = {
            "api_base": self.api_base,
            "api_key": self.api_key,
            "temperature": self.temperature,
            "top_p": self.top_p,
            "max_tokens": self.max_tokens,
            "timeout": self.timeout,
            "retries": self.retries,
            "retry_delay": self.retry_delay,
            "random_seed": self.random_seed,
            "reasoning_effort": self.reasoning_effort,
        }
        self.update_model_params(shared_config)


@dataclass