# Phoenix Arize Setup

> Arize Phoenix observability platform setup for LLM debugging and evaluation

- Skill: `majiayu000/phoenix-arize-setup` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/phoenix-arize-setup`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/phoenix-arize-setup/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/phoenix-arize-setup

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# Phoenix Arize Setup Skill

## Capabilities

- Set up Phoenix local server
- Configure tracing instrumentation
- Design evaluation experiments
- Implement embedding visualizations
- Set up retrieval analysis
- Create custom evaluations with LLM-as-judge

## Target Processes

- llm-observability-monitoring
- agent-evaluation-framework

## Implementation Details

### Core Features

1. **Tracing**: OpenTelemetry-based LLM traces
2. **Evals**: LLM-as-judge evaluations
3. **Embeddings**: Visualization and drift detection
4. **Retrieval**: RAG quality analysis
5. **Datasets**: Experiment management

### Instrumentation

- OpenAI auto-instrumentation
- LangChain instrumentation
- LlamaIndex instrumentation
- Custom span creation

### Configuration Options

- Phoenix server setup
- Trace sampling
- Evaluation metrics
- Embedding models
- Export settings

### Best Practices

- Comprehensive instrumentation
- Regular evaluation runs
- Monitor embedding drift
- Analyze retrieval quality

### Dependencies

- arize-phoenix
- openinference-instrumentation-openai