Greptile P2 follow-ups on _content_utils.py: - Drop unreachable ``_resolve_messages``. The new ``_iter_inspection_messages`` walks ``messages`` AND ``input`` independently; leaving the old fallback-only variant around invited a future maintainer to wire it back up and silently narrow coverage. - Rename ``iter_user_text`` → ``iter_message_text``. The helper walks every role (user, assistant, system); the old name implied user-turn content only. Callers and tests updated. - Close mixed-list coverage gap. When ``data["input"]`` was a list mixing content-part dicts and bare strings, ``iter_message_text`` and ``build_inspection_messages`` only saw the dict parts while ``walk_user_text`` already inspected both. ``_iter_text_parts_in_content`` now treats bare strings inside a content list as text fragments, so read and write helpers agree on coverage. Adds two regression tests for the mixed-list shape. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
# +-------------------------------------------------------------+
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#
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# Use OpenAI /moderations for your LLM calls
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#
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# +-------------------------------------------------------------+
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# Thank you users! We ❤️ you! - Krrish & Ishaan
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import os
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import sys
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import sys
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from fastapi import HTTPException
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import litellm
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from litellm._logging import verbose_proxy_logger
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.proxy.guardrails._content_utils import iter_message_text
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from litellm.types.utils import CallTypesLiteral
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class _ENTERPRISE_OpenAI_Moderation(CustomLogger):
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def __init__(self):
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self.model_name = (
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litellm.openai_moderations_model_name or "text-moderation-latest"
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) # pass the model_name you initialized on litellm.Router()
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pass
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#### CALL HOOKS - proxy only ####
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async def async_moderation_hook(
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self,
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data: dict,
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user_api_key_dict: UserAPIKeyAuth,
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call_type: CallTypesLiteral,
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):
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# Covers multimodal list content + Responses-API input.
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text = "".join(iter_message_text(data))
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from litellm.proxy.proxy_server import llm_router
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if llm_router is None:
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return
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moderation_response = await llm_router.amoderation(
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model=self.model_name, input=text
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)
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verbose_proxy_logger.debug("Moderation response: %s", moderation_response)
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if moderation_response and moderation_response.results[0].flagged is True:
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raise HTTPException(
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status_code=403, detail={"error": "Violated content safety policy"}
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)
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pass
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