IsJSONScorer
Validates whether the prediction is valid JSON. This rule-based scorer attempts to parse the prediction as JSON and returns a perfect score if parsing succeeds. Useful for structured output tasks.
Overview
Validates whether the prediction is valid JSON. This rule-based scorer attempts to parse the prediction as JSON and returns a perfect score if parsing succeeds. Useful for structured output tasks.
Use Cases
- Autonomous AI agent evaluation
- 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 to validate as JSON |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | 10.0 if valid JSON, 0.0 otherwise |
| passed | bool | True if valid JSON |
| reasoning | str | Validation result or parse error |
| metadata | dict | May include parsed JSON structure |
Score Interpretation
Default threshold: 10/10
Related Scorers
Frequently Asked Questions
When should I use this scorer?
Use IsJSONScorer when you need to evaluate format and agent aspects of your AI outputs. It's particularly useful for autonomous ai agent evaluation.
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
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