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Arize Phoenix

Open-source LLM observability with tracing, evaluation, and datasets — 8K+ stars

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About

Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.

Details

Typeobservability, evaluation, tracing
Integrationslangchain, llamaindex, openai, opentelemetry
Languagepython

Tags

observabilitytracingevaluationopen-sourceopentelemetrydebugging