Arize Phoenix

AI Observability and Evaluation

Phoenix is an open-source observability tool designed for experimentation, evaluation, and troubleshooting of AI and LLM applications. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors.

Phoenix works with OpenTelemetry and OpenInference instrumentation. See Integrations for details.

Features

Tracing in Phoenix

Tracing is a helpful tool for understanding how your LLM application works. Phoenix's open-source library offers comprehensive tracing capabilities that are not tied to any specific LLM vendor or framework.

Phoenix accepts traces over the OpenTelemetry protocol (OTLP) and supports first-class instrumentation for a variety of frameworks (LlamaIndex, LangChain, DSPy), SDKs (OpenAI, Bedrock, Mistral, Vertex), and Languages. (Python, Javascript, etc.)

Quickstarts

Running Phoenix for the first time? Select a quickstart below.

Next Steps

Check out a comprehensive list of example notebooks for LLM Traces, Evals, RAG Analysis, and more.

Add instrumentation for popular packages and libraries such as OpenAI, LangGraph, Vercel AI SDK and more.

Join the Phoenix Slack community to ask questions, share findings, provide feedback, and connect with other developers.

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