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55from abc import abstractmethod
from pydantic import ConfigDict
from dify_plugin.entities.model import ModelType
from dify_plugin.interfaces.model.ai_model import AIModel
class ModerationModel(AIModel):
"""
Model class for moderation model.
"""
model_type: ModelType = ModelType.MODERATION
# pydantic configs
model_config = ConfigDict(protected_namespaces=())
############################################################
# Methods that can be implemented by plugin #
############################################################
@abstractmethod
def _invoke(self, model: str, credentials: dict, text: str, user: str | None = None) -> bool:
"""
Invoke large language model
:param model: model name
:param credentials: model credentials
:param text: text to moderate
:param user: unique user id
:return: false if text is safe, true otherwise
"""
raise NotImplementedError
############################################################
# For executor use only #
############################################################
def invoke(self, model: str, credentials: dict, text: str, user: str | None = None) -> bool:
"""
Invoke moderation model
:param model: model name
:param credentials: model credentials
:param text: text to moderate
:param user: unique user id
:return: false if text is safe, true otherwise
"""
with self.timing_context():
try:
return self._invoke(model, credentials, text, user)
except Exception as e:
raise self._transform_invoke_error(e) from e