Phoenix Evaluations: LLM Quality Metrics

Objective

Implement comprehensive Phoenix evaluations for agent LLM responses.

Metrics to Track

1. Hallucination Detection - Check responses against source documents
2. Reasoning Quality - Evaluate logical consistency
3. Decision Confidence Calibration - Compare predicted confidence to actual outcomes
4. Response Relevance - Measure alignment with user intent

Implementation

• Create PhoenixEvaluator class in src/telemetry/phoenix-evaluator.ts
• Use Phoenix Evaluations API
• Run evaluations async after each LLM call
• Store evaluation results in Phoenix

Acceptance Criteria

• All LLM responses automatically evaluated
• Evaluations visible in Phoenix UI
• Evaluation latency <500ms
• Support custom evaluation functions