AnthropicV2LLMConfigEntry

def apply_application_config(self, application_config: ApplicationConfig) -> Self:
    """Apply application level configurations."""
    new_entry = self.model_copy()
    new_entry.max_tokens = new_entry.max_tokens or application_config.max_tokens
    new_entry.top_p = new_entry.top_p or application_config.top_p
    new_entry.temperature = new_entry.temperature or application_config.temperature
    return new_entry

def create_client(self):
    raise NotImplementedError("AnthropicLLMConfigEntry.create_client is not implemented.")

@field_validator("base_url", mode="before")
@classmethod
def check_base_url(cls, v: HttpUrl | str | None, info: ValidationInfo) -> str | None:
    if v is None:  # Handle None case explicitly
        return None
    # Allow WebSocket URLs as well as HTTP(S)
    if not str(v).startswith(("https://", "http://", "wss://", "ws://")):
        return f"http://{str(v)}"
    return str(v)

@field_serializer("base_url", when_used="unless-none")  # Ensure serializer also respects None
def serialize_base_url(self, v: HttpUrl | None) -> str | None:
    return str(v) if v is not None else None

@field_serializer("api_key", when_used="unless-none")
def serialize_api_key(self, v: SecretStr) -> str:
    return v.get_secret_value()

def model_dump(self, *args: Any, exclude_none: bool = True, **kwargs: Any) -> dict[str, Any]:
    return BaseModel.model_dump(self, exclude_none=exclude_none, *args, **kwargs)

def model_dump_json(self, *args: Any, exclude_none: bool = True, **kwargs: Any) -> str:
    return BaseModel.model_dump_json(self, exclude_none=exclude_none, *args, **kwargs)

def get(self, key: str, default: Any | None = None) -> Any:
    val = getattr(self, key, default)
    if isinstance(val, SecretStr):
        return val.get_secret_value()
    return val

def items(self) -> Iterable[tuple[str, Any]]:
    d = self.model_dump()
    return d.items()

def keys(self) -> Iterable[str]:
    d = self.model_dump()
    return d.keys()

def values(self) -> Iterable[Any]:
    d = self.model_dump()
    return d.values()