# Phoenix — Open Source AI Observability

> Phoenix is an AI observability platform for tracing, evaluating, and debugging LLM apps. 9.1K+ stars. OpenTelemetry, evals, prompt management.

## Install

Save in your project root:

## Quick Use

```bash
pip install arize-phoenix
python -m phoenix.server.main serve
# Open http://localhost:6006
```

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## Intro

Phoenix is an open-source AI observability platform for tracing, evaluation, and troubleshooting LLM apps. With 9,100+ GitHub stars, it provides OpenTelemetry-based tracing, LLM evaluation benchmarks, datasets and experiments, a prompt playground, and prompt version management. Integrates with LangChain, LlamaIndex, CrewAI, OpenAI, Anthropic.

**Best for**: Teams debugging production LLM applications
**Works with**: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf

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## Key Features

- OpenTelemetry tracing for every LLM call
- LLM evaluation with built-in metrics
- Versioned datasets and experiments
- Prompt playground and management
- Self-hosted or cloud

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### FAQ

**Q: What is Phoenix?**
A: AI observability platform with 9.1K+ stars. OpenTelemetry tracing, evals, prompt management.

**Q: How do I install Phoenix?**
A: pip install arize-phoenix. Access at localhost:6006.

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## Source & Thanks

> [Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) — 9,100+ GitHub stars

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Source: https://tokrepo.com/en/workflows/42fa8573-760e-4a07-a19f-43422546e9f5
Author: AI Open Source