phoenix-tracing
OfficialProduction-grade tracing for Phoenix
AuthorArize-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
Core Features & Use Cases
- Standardized OpenInference span semantics for LLM, CHAIN, RETRIEVER, TOOL, GUARDRAIL, and EVALUATOR kinds.
- Comprehensive guidance linking to Phoenix docs, OpenInference specs, and language-specific references (Python and TypeScript).
- Production readiness: instrumentation setup, batch processing, and privacy considerations for deployments.
Quick Start
Review SKILL.md and follow the Quick Start to enable Phoenix OpenInference tracing in your Python or TypeScript project.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: phoenix-tracing Download link: https://github.com/Arize-ai/phoenix/archive/main.zip#phoenix-tracing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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