Trace & Evaluate your Agent with Arize Phoenix
Hugging Face
Arize Phoenix provides a platform for tracing and evaluating AI agents by visualizing their decision-making steps and measuring performance across tasks like information retrieval and response quality. The article demonstrates implementation using DuckDuckGo search results evaluated by GPT-4o, which classifies outputs as relevant or unrelated and assigns binary scores. Users can systematically monitor agent behavior in real time and swap evaluation templates to assess different capabilities including hallucination detection, factual accuracy, and code generation.