RoleAdherenceScorer
Assesses how well the agent adheres to its defined role and persona throughout the conversation. Evaluates consistency in behavior, tone, and decision-making aligned with the assigned role. Critical for safety and persona compliance.
Overview
Assesses how well the agent adheres to its defined role and persona throughout the conversation. Evaluates consistency in behavior, tone, and decision-making aligned with the assigned role. Critical for safety and persona compliance.
Use Cases
- Autonomous AI agent evaluation
- Safety and compliance monitoring
- Conversational AI quality assessment
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 |
|---|---|---|---|
| agent_data.agent_role | str | Yes | The role of the agent |
| agent_data.agent_task | str | Yes | The task assigned to the agent |
| agent_data.agent_response | str | Yes | The response from the agent |
| agent_data.tool_calls | list[ToolCall] | str | No | Tool calls made by the agent |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Score (0-10 scale) |
| passed | bool | True if score meets threshold |
| reasoning | str | Detailed evaluation explanation |
| metadata | dict | Scorer-specific details |
Score Interpretation
Default threshold: 7/10
Related Scorers
ConversationalRoleAdherenceScorer
Measures how well an AI maintains its assigned role or persona throughout a conversation. Evaluates ...
AgentContextRelevancyScorer
Evaluates how well the agent maintains and utilizes relevant context throughout the interaction. Ass...
AgentTaskProgressionScorer
Measures how effectively the agent progresses toward completing its assigned task. Evaluates logical...
SafetyContentSafetyViolationScorer
Detects specific safety policy violations in generated content. More granular than general moderatio...
Frequently Asked Questions
When should I use this scorer?
Use RoleAdherenceScorer when you need to evaluate agent and conversational 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 7 can be customized when configuring the scorer.
Quick Info
Ready to try RoleAdherenceScorer?
Start evaluating your AI agents with Noveum.ai's comprehensive scorer library.
Explore More Scorers
Discover 106 calibrated LLM-as-Judge scorers for comprehensive AI evaluation