Alexander Myasoedov b38a27d78c feat: US-005 - Enhanced Refusal Detection with Hybrid Approach ...

Implement hybrid refusal classifier combining multiple detection methods:
- Add confidence scoring to refusal detection (HybridResult)
- Implement weighted voting with configurable thresholds
- Support require_unanimous mode for strict classification
- Add factory function create_hybrid_classifier for common setup
- Include 32 unit tests with table-driven test patterns

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attack_rules

feat: US-002 - YAML-based Attack Rule System

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executor

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fuzz_chain

feat: US-003 - Composable Fuzzing Chain System

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llm_providers

feat: US-004 - Unified LLM Provider Abstraction

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probe_actor

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probe_data

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refusal_classifier

feat: US-005 - Enhanced Refusal Detection with Hybrid Approach

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__init__.py

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test_cache_config.py

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test_dependencies.py

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test_mcp.py

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test_spec.py

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