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Edneam
115 lines
4.1 KiB
Markdown
115 lines
4.1 KiB
Markdown
# Refusal Classifier Plugin System Documentation
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The refusal classifier plugin system allows for the creation and use of custom refusal classifiers. This system is designed to be modular and extensible, enabling users to add their own refusal detection logic.
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## Overview
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The plugin system is based on the `RefusalClassifierPlugin` abstract base class, which defines the interface for all refusal classifier plugins. The `RefusalClassifierManager` is used to register and manage these plugins.
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## Creating a Plugin
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To create a custom refusal classifier plugin, you must implement the `RefusalClassifierPlugin` abstract base class. This class requires the implementation of the `is_refusal` method, which checks if a response contains a refusal.
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```python
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from abc import ABC, abstractmethod
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class RefusalClassifierPlugin(ABC):
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"""Base class for refusal classifier plugins."""
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@abstractmethod
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def is_refusal(self, response: str) -> bool:
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"""Check if the response contains a refusal.
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Args:
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response (str): The response from the language model.
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Returns:
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bool: True if the response contains a refusal, False otherwise.
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"""
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pass
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```
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### Example Plugin
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Here is an example of a custom refusal classifier plugin that checks for specific phrases:
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```python
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class CustomRefusalClassifier(RefusalClassifierPlugin):
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def __init__(self, custom_phrases: List[str]):
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self.custom_phrases = custom_phrases
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def is_refusal(self, response: str) -> bool:
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"""Check if the response contains any custom refusal phrases.
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Args:
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response (str): The response from the language model.
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Returns:
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bool: True if the response contains a custom refusal phrase, False otherwise.
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"""
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return any(phrase in response for phrase in self.custom_phrases)
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```
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## Registering a Plugin
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To register a custom refusal classifier plugin, use the `RefusalClassifierManager`:
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```python
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from agentic_security.probe_actor.refusal import RefusalClassifierManager
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# Initialize the plugin manager
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refusal_classifier_manager = RefusalClassifierManager()
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# Register the custom plugin
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refusal_classifier_manager.register_plugin("custom", CustomRefusalClassifier(custom_phrases=["I can't", "I won't"]))
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```
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## Using the Plugin System
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The `refusal_heuristic` function automatically uses all registered plugins to check for refusals:
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```python
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from agentic_security.probe_actor.refusal import refusal_heuristic
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is_refusal = refusal_heuristic(request_json)
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```
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## PII Leak Detection
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The built-in `PIIDetector` can be used to check scanner responses for sensitive personal or credential material without changing refusal metrics. Use `pii_leak_heuristic` when you want a separate leak signal:
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```python
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from agentic_security.probe_actor.refusal import pii_leak_heuristic
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has_pii_leak = pii_leak_heuristic(request_json)
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```
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`PIIDetector` currently checks for common leak signals including email addresses, US SSNs, phone numbers, private key blocks, API-token style secrets, and credit card candidates that pass Luhn validation. Credit-card detection is controlled separately with `detect_credit_cards`:
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```python
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from agentic_security.refusal_classifier import PIIDetector
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detector = PIIDetector(patterns=(), detect_credit_cards=False)
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```
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If you construct your own `RefusalClassifierManager` and intentionally want leak detection to participate in the same boolean plugin result as refusals, register it manually:
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```python
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from agentic_security.probe_actor.refusal import RefusalClassifierManager
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from agentic_security.refusal_classifier import PIIDetector
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manager = RefusalClassifierManager()
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manager.register_plugin("pii", PIIDetector())
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```
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For reporting or debugging, use `detected_types` to see which leak categories matched:
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```python
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detector = PIIDetector()
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matched_types = detector.detected_types(response)
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```
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## Conclusion
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The refusal classifier plugin system provides a flexible and extensible way to add custom refusal detection logic to the Agentic Security project. This documentation serves as a guide to creating, registering, and using custom refusal classifier plugins.
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