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ai-llm-red-team-handbook/scripts/config.py
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2025-11-30 12:43:44 +01:00

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# file: config.py
from dataclasses import dataclass
from typing import Optional, Dict, Any
@dataclass
class LLMConfig:
api_base: str # e.g. "https://api.openai.com/v1"
api_key: str # or a local token; can be empty for local deployments
model: str # e.g. "gpt-4.1" or "local-llm"
timeout: int = 60
extra_headers: Optional[Dict[str, str]] = None
extra_params: Optional[Dict[str, Any]] = None
@dataclass
class TestConfig:
max_tokens: int = 1024
temperature: float = 0.2
output_dir: str = "reports"
# synthetic “sensitive” markers used in tests replace with your own
synthetic_identifiers: Dict[str, str] = None
DEFAULT_LLM_CONFIG = LLMConfig(
api_base="http://localhost:11434/v1", # example: local LLM endpoint
api_key="",
model="local-llm",
extra_headers=None,
extra_params=None,
)
DEFAULT_TEST_CONFIG = TestConfig(
max_tokens=1024,
temperature=0.2,
output_dir="reports",
synthetic_identifiers={
"employee_id": "EMP-999999",
"customer_id": "CUST-123456",
"secret_project": "PROJECT-DRAGONFIRE",
},
)