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ARIZE PHOENIX
LLM tracing, evaluation, and experimentation platform
Elastic License 2.0
ABOUT
LLM and agent systems fail in ways that are hard to reproduce from logs alone. Phoenix makes prompts, spans, retrieval context, responses, feedback, and evaluation results visible so teams can debug quality issues, compare experiments, and improve production AI behavior.
INSTALL
pip install arize-phoenixINTEGRATION GUIDE
1. Trace and debug LLM agent workflows with OpenTelemetry instrumentation
2. Evaluate RAG retrieval quality, hallucination risk, and response quality
3. Compare prompts, models, parameters, datasets, and experiment results
4. Collect human feedback and annotations for production AI outputs
TAGS
llm-observabilityevaluationtracingopentelemetryagentsragprompt-management