ValidLinksScorer
Validates that URLs in the prediction are properly formatted and optionally accessible. Extracts URLs from text, validates their format, and can optionally check if they resolve to valid resources.
Overview
Validates that URLs in the prediction are properly formatted and optionally accessible. Extracts URLs from text, validates their format, and can optionally check if they resolve to valid resources.
Use Cases
- Structured output validation
How It Works
This scorer uses deterministic rule-based evaluation to validate outputs against specific criteria. It applies predefined rules and patterns to assess the response, providing consistent and reproducible results without requiring LLM inference.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
| prediction | str | Yes | Text containing URLs to validate |
| context.check_accessibility | bool | No | Whether to check if URLs are accessible |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Percentage of valid links (0-10 scale) |
| passed | bool | True if all links valid |
| reasoning | str | Link validation summary |
| metadata | dict | List of valid and invalid links |
Score Interpretation
Default threshold: 10/10
Related Scorers
Frequently Asked Questions
When should I use this scorer?
Use ValidLinksScorer when you need to evaluate format and rule-based aspects of your AI outputs. It's particularly useful for structured output validation.
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 10 can be customized when configuring the scorer.
Quick Info
Ready to try ValidLinksScorer?
Start evaluating your AI agents with Noveum.ai's comprehensive scorer library.
Explore More Scorers
Discover 68+ LLM-as-Judge scorers for comprehensive AI evaluation
