ContentSafetyViolationScorer
Detects specific safety policy violations in generated content. More granular than general moderation, focusing on specific prohibited content types with detailed violation reports and severity levels.
Overview
Detects specific safety policy violations in generated content. More granular than general moderation, focusing on specific prohibited content types with detailed violation reports and severity levels.
Use Cases
- Safety and compliance monitoring
How It Works
This scorer uses LLM-as-Judge technology to evaluate responses. It prompts a large language model with specific evaluation criteria and the content to assess, then analyzes the LLM's judgment to produce a score and detailed reasoning.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
| output_text | str | Yes | Content to analyze for violations |
| input_text | str | No | Original prompt for context |
| context.system_prompt | str | No | System guidelines defining allowed content |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Violation-free score (0-10, 10=clean) |
| passed | bool | True if no violations |
| reasoning | str | Violation analysis |
| metadata.violations | list | Detected violations |
| metadata.severity | str | Overall severity level |
Score Interpretation
Default threshold: 7/10
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Frequently Asked Questions
When should I use this scorer?
Use ContentSafetyViolationScorer when you need to evaluate safety and llm-judge aspects of your AI outputs. It's particularly useful for safety and compliance monitoring.
Why doesn't this scorer need expected output?
This scorer evaluates quality aspects that don't require comparison against a reference answer. It uses the system prompt and context as the implicit ground truth.
Can I customize the threshold?
Yes, the default threshold of 7 can be customized when configuring the scorer.
Quick Info
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