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35 lines
1.5 KiB
Python
35 lines
1.5 KiB
Python
import logging
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import openai
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from core.model_providers.error import LLMBadRequestError
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from core.model_providers.providers.base import BaseModelProvider
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from core.model_providers.providers.hosted import hosted_config, hosted_model_providers
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from models.provider import ProviderType
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def check_moderation(model_provider: BaseModelProvider, text: str) -> bool:
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if hosted_config.moderation.enabled is True and hosted_model_providers.openai:
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if model_provider.provider.provider_type == ProviderType.SYSTEM.value \
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and model_provider.provider_name in hosted_config.moderation.providers:
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# 2000 text per chunk
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length = 2000
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text_chunks = [text[i:i + length] for i in range(0, len(text), length)]
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max_text_chunks = 32
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chunks = [text_chunks[i:i + max_text_chunks] for i in range(0, len(text_chunks), max_text_chunks)]
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for text_chunk in chunks:
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try:
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moderation_result = openai.Moderation.create(input=text_chunk,
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api_key=hosted_model_providers.openai.api_key)
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except Exception as ex:
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logging.exception(ex)
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raise LLMBadRequestError('Rate limit exceeded, please try again later.')
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for result in moderation_result.results:
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if result['flagged'] is True:
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return False
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return True
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