Conversational ScorerLLM-as-Judge

ConversationalRoleAdherenceScorer

Measures how well an AI maintains its assigned role or persona throughout a conversation. Evaluates consistency in tone, vocabulary, knowledge boundaries, and behavioral patterns that define the assigned role. Overlaps with safety for persona compliance.

Overview

Measures how well an AI maintains its assigned role or persona throughout a conversation. Evaluates consistency in tone, vocabulary, knowledge boundaries, and behavioral patterns that define the assigned role. Overlaps with safety for persona compliance.

conversationalagentsafetyllm-judgetrace-evaluationpersonacompliance

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

ParameterTypeRequiredDescription
output_textstrYesThe model's response to evaluate
context.system_promptstrYesThe role/persona definition from system prompt
context.conversationConversationNoConversation context with history

Output Schema

FieldTypeDescription
scorefloatRole adherence score (0-10)
passedboolTrue if role is maintained
reasoningstrRole adherence analysis
metadatadictDeviation details if any

Score Interpretation

Default threshold: 7/10

9-10ExcellentResponse fully meets all evaluation criteria
7-8GoodResponse meets most criteria with minor issues
5-6FairResponse partially meets criteria, needs improvement
3-4PoorResponse has significant issues
0-2FailingResponse fails to meet basic criteria

Frequently Asked Questions

When should I use this scorer?

Use ConversationalRoleAdherenceScorer when you need to evaluate conversational 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 7 can be customized when configuring the scorer.

Quick Info

CategoryConversational
Evaluation TypeLLM-as-Judge
Requires Expected OutputNo
Default Threshold7/10

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