dify/api/core/moderation/openai_moderation/openai_moderation.py

from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from core.moderation.base import Moderation, ModerationAction, ModerationInputsResult, ModerationOutputsResult


class OpenAIModeration(Moderation):
    name: str = "openai_moderation"

    @classmethod
    def validate_config(cls, tenant_id: str, config: dict) -> None:
        """
        Validate the incoming form config data.

        :param tenant_id: the id of workspace
        :param config: the form config data
        :return:
        """
        cls._validate_inputs_and_outputs_config(config, True)

    def moderation_for_inputs(self, inputs: dict, query: str = "") -> ModerationInputsResult:
        flagged = False
        preset_response = ""

        if self.config["inputs_config"]["enabled"]:
            preset_response = self.config["inputs_config"]["preset_response"]

            if query:
                inputs["query__"] = query
            flagged = self._is_violated(inputs)

        return ModerationInputsResult(
            flagged=flagged, action=ModerationAction.DIRECT_OUTPUT, preset_response=preset_response
        )

    def moderation_for_outputs(self, text: str) -> ModerationOutputsResult:
        flagged = False
        preset_response = ""

        if self.config["outputs_config"]["enabled"]:
            flagged = self._is_violated({"text": text})
            preset_response = self.config["outputs_config"]["preset_response"]

        return ModerationOutputsResult(
            flagged=flagged, action=ModerationAction.DIRECT_OUTPUT, preset_response=preset_response
        )

    def _is_violated(self, inputs: dict):
        text = "\n".join(str(inputs.values()))
        model_manager = ModelManager()
        model_instance = model_manager.get_model_instance(
            tenant_id=self.tenant_id, provider="openai", model_type=ModelType.MODERATION, model="text-moderation-stable"
        )

        openai_moderation = model_instance.invoke_moderation(text=text)

        return openai_moderation