mirror of
https://github.com/jiaxiaojunQAQ/OmniSafeBench-MM.git
synced 2026-02-12 17:52:46 +00:00
04a1cbe8d1
- Extract duplicate attack/defense config merging into _merge_component_configs() - Extract duplicate lazy loading logic into _get_component() - Move content policy detection to BaseModel base class - Fix BatchSaveManager deadlock by splitting flush logic - Add TypeError to ValueError conversion for consistent config errors - Move _determine_load_model() to BaseComponent (explicit field only)
76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
from typing import List
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from .base_model import BaseModel
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class GoogleModel(BaseModel):
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"""Google model implementation using Google Generative AI API."""
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default_output = "I'm sorry, but I cannot assist with that request."
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# Google-specific content policy keywords
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PROVIDER_SPECIFIC_KEYWORDS = [
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"blocked",
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]
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def __init__(self, model_name: str, api_key: str, base_url: str = None) -> None:
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super().__init__(model_name=model_name, api_key=api_key, base_url=base_url)
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try:
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from google import genai
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except ImportError:
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raise ImportError(
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"Google Generative AI package is required for Gemini models. "
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"Install it with: pip install google-generativeai"
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)
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self.model = genai.Client(api_key=api_key)
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def _generate_single(
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self,
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messages: List[dict],
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**kwargs,
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) -> str:
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"""Generate response for a single prompt."""
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def _api_call():
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# Create a copy of kwargs to avoid modifying the original
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api_kwargs = kwargs.copy()
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# Use provided model name or fall back to instance model_name
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model = api_kwargs.pop("model", self.model_name)
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try:
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response = self.model.models.generate_content(
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model=model, contents=messages, **api_kwargs
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)
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return response
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except Exception as e:
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if self._is_content_policy_rejection(e):
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return self._handle_content_rejection()
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raise
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return self._retry_with_backoff(_api_call)
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def _generate_stream(
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self,
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messages: List[dict],
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**kwargs,
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):
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"""Generate streaming response for a single prompt."""
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def _api_call():
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# Create a copy of kwargs to avoid modifying the original
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api_kwargs = kwargs.copy()
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# Use provided model name or fall back to instance model_name
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model = api_kwargs.pop("model", self.model_name)
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# Gemini streaming API
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response = self.model.models.generate_content(
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model=model, contents=messages, stream=True, **api_kwargs
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)
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return response
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try:
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response = self._retry_with_backoff(_api_call)
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for chunk in response:
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if chunk.text:
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yield chunk.text
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except Exception:
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yield self._handle_api_error()
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