Rubric libraries & frameworks

Arize Phoenix

by Arize AI

What is Arize Phoenix? Arize Phoenix is a self-hostable observability and evaluation tool for LLM applications from Arize AI. It traces apps with OpenTelemetry-based instrumentation, runs LLM-graded evals on responses and retrieval, and manages versioned datasets and experiments. It is licensed under the Elastic License 2.0.

Page last updated 2026-10-17 · Evals Review

Editor note

A self-hostable tool for tracing and evaluating LLM apps: OpenTelemetry-based traces, LLM-graded evals for answers and retrieval, versioned datasets and experiments. It is released under the Elastic License 2.0; Arize sells a separate managed product (Arize AX).

What it tests
Your own LLM app or agent, on traces and test datasets.
Original source
github.com/Arize-ai/phoenix
Last updated
Repo last commit 2026-10-17
License
Elastic-2.0

Facts come only from the linked source (checked 15–16 Oct 2026). Credit belongs to the creators.

When to use Arize Phoenix

  • You want traces and eval scores in one self-hosted tool.
  • Your stack uses common agent frameworks or providers that Phoenix's OpenInference instrumentation already supports.

Limitations

  • The Elastic License 2.0 does not allow providing the software to others as a hosted or managed service; read the licence before building a product on it.
  • It is a platform, not a benchmark: scores depend on the evaluators and datasets you set up.

How to run it

  1. pip install arize-phoenix, then phoenix serve (or run it with uvx or Docker).
  2. Instrument your app to send traces, then add evals, datasets and experiments.
pip install arize-phoenix
phoenix serve

Notable results

  • README (read 17 Oct 2026): Phoenix is self-hosted and licensed under the Elastic License 2.0; Arize offers a separate managed platform, Arize AX. [Official repository]

Sources

Everything above comes from the sources listed, read on 15–16 Oct 2026. Commands are copied from the official instructions; check the source for changes.

Reviews

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