Method model_copy

langroid/language_models/openai_gpt.py:326–338

Copy config while preserving nested model instances and subclasses. Important: Avoid reconstructing via `model_dump` as that coerces nested models to their annotated base types (dropping subclass-only fields). Instead, defer to Pydantic's native `model_copy`, which

(
        self, *, update: Mapping[str, Any] | None = None, deep: bool = False
    )

    model_config = SettingsConfigDict(env_prefix="OPENAI_")

    def model_copy(
        self, *, update: Mapping[str, Any] | None = None, deep: bool = False
    ) -> "OpenAIGPTConfig":
        """
        Copy config while preserving nested model instances and subclasses.

        Important: Avoid reconstructing via `model_dump` as that coerces nested
        models to their annotated base types (dropping subclass-only fields).
        Instead, defer to Pydantic's native `model_copy`, which keeps nested
        `BaseModel` instances (and their concrete subclasses) intact.
        """
        # Delegate to BaseSettings/BaseModel implementation to preserve types
        return super().model_copy(update=update, deep=deep)  # type: ignore[return-value]

    def _validate_litellm(self) -> None:
        """