Arize Phoenix
LLM observability & evals
0 case studies
Data Dev Framework LLM observability & evals
Arize Phoenix is used to trace, visualize, and evaluate LLM application behavior with an open-source observability platform you can run locally. It captures spans from your LLM pipeline, surfaces embedding drift, retrieval quality, and response quality issues, and supports running evals directly in the UI.
Install with `pip install arize-phoenix` and launch the UI with `phoenix launch`. Instrument your application with `phoenix.otel` or use the LangChain/LlamaIndex auto-instrumentors to start collecting traces automatically. Open localhost:6006 to view traces, run evaluations, and explore embeddings.
$ pip install arize-phoenix` and launch the UI with `phoenix launch` Be the first to share a Arize Phoenix case study and get discovered by clients.
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