Class BaseModel

src/opencode_ai/_models.py:83–359

class BaseModel(pydantic.BaseModel):
    if PYDANTIC_V2:
        model_config: ClassVar[ConfigDict] = ConfigDict(
            extra="allow", defer_build=coerce_boolean(os.environ.get("DEFER_PYDANTIC_BUILD", "true"))
        )
    else:

        @property
        @override
        def model_fields_set(self) -> set[str]:
            # a forwards-compat shim for pydantic v2
            return self.__fields_set__  # type: ignore

        class Config(pydantic.BaseConfig):  # pyright: ignore[reportDeprecated]
            extra: Any = pydantic.Extra.allow  # type: ignore

    def to_dict(
        self,
        *,
        mode: Literal["json", "python"] = "python",
        use_api_names: bool = True,
        exclude_unset: bool = True,
        exclude_defaults: bool = False,
        exclude_none: bool = False,
        warnings: bool = True,
    ) -> dict[str, object]:
        """Recursively generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

        By default, fields that were not set by the API will not be included,
        and keys will match the API response, *not* the property names from the model.

        For example, if the API responds with `"fooBar": true` but we've defined a `foo_bar: bool` property,
        the output will use the `"fooBar"` key (unless `use_api_names=False` is passed).

        Args:
            mode:
                If mode is 'json', the dictionary will only contain JSON serializable types. e.g. `datetime` will be turned into a string, `"2024-3-22T18:11:19.117000Z"`.
                If mode is 'python', the dictionary may contain any Python objects. e.g. `datetime(2024, 3, 22)`

            use_api_names: Whether to use the key that the API responded with or the property name. Defaults to `True`.
            exclude_unset: Whether to exclude fields that have not been explicitly set.
            exclude_defaults: Whether to exclude fields that are set to their default value from the output.
            exclude_none: Whether to exclude fields that have a value of `None` from the output.
            warnings: Whether to log warnings when invalid fields are encountered. This is only supported in Pydantic v2.
        """
        return self.model_dump(
            mode=mode,
            by_alias=use_api_names,
            exclude_unset=exclude_unset,
            exclude_defaults=exclude_defaults,
            exclude_none=exclude_none,
            warnings=warnings,
        )

    def to_json(
        self,
        *,
        indent: int | None = 2,