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)
92 lines
3.0 KiB
Python
92 lines
3.0 KiB
Python
from typing import List, Optional
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from .base_model import BaseModel
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class OpenAIModel(BaseModel):
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"""OpenAI model implementation using OpenAI API."""
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# OpenAI-specific content policy keywords
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PROVIDER_SPECIFIC_KEYWORDS = [
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"invalid",
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"inappropriate",
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"invalid_prompt",
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"limited access",
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]
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def __init__(self, model_name: str, api_key: str, base_url: Optional[str] = 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 openai import OpenAI
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except ImportError:
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raise ImportError(
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"OpenAI package is required for GPT models. "
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"Install it with: pip install openai"
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)
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self.client = OpenAI(
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api_key=api_key, timeout=self.API_TIMEOUT, base_url=base_url
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)
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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.client.chat.completions.create(
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model=model,
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messages=messages,
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**api_kwargs,
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)
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return response
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except Exception as e:
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print("Error during API call:", str(e).lower())
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if self._is_content_policy_rejection(e):
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print("Content rejection triggered")
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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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try:
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stream = self.client.chat.completions.create(
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model=model,
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messages=messages,
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stream=True,
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**api_kwargs,
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)
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return stream
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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_stream()
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raise
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try:
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stream = self._retry_with_backoff(_api_call)
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for chunk in stream:
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if chunk.choices[0].delta.content is not None:
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yield chunk.choices[0].delta.content
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except Exception:
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yield self._handle_api_error()
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