phoenix-tracing
✓OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
Installation
SKILL.md
Comprehensive guide for instrumenting LLM applications with OpenInference tracing in Phoenix. Contains rule files covering setup, instrumentation, span types, and production deployment.
| 1 | Setup | Installation and configuration | setup- | | 2 | Instrumentation | Auto and manual tracing | instrumentation- | | 3 | Span Types | 9 span kinds with attributes | span- | | 4 | Organization | Projects and sessions | projects-, sessions- | | 5 | Enrichment | Custom metadata | metadata- | | 6 | Production | Batch processing, masking | production- |
| 7 | Feedback | Annotations and evaluation | annotations- |
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production. Source: arize-ai/phoenix.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/arize-ai/phoenix --skill phoenix-tracing- Source
- arize-ai/phoenix
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is phoenix-tracing?
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production. Source: arize-ai/phoenix.
How do I install phoenix-tracing?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/arize-ai/phoenix --skill phoenix-tracing Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/arize-ai/phoenix
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01