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phoenix-tracing
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
skills/phoenix-tracing/SKILL.md
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README.mddoc · 842 bytesSKILL.mdcore · 6,439 bytesSKILL.mdcore · 6,439 bytesreferences/annotations-overview.mddoc · 3,914 bytesreferences/annotations-python.mddoc · 3,196 bytesreferences/annotations-typescript.mddoc · 4,110 bytesreferences/fundamentals-flattening.mddoc · 1,838 bytesreferences/fundamentals-overview.mddoc · 1,856 bytesreferences/fundamentals-required-attributes.mddoc · 2,484 bytesreferences/fundamentals-universal-attributes.mddoc · 2,387 bytesreferences/instrumentation-auto-python.mddoc · 2,266 bytesreferences/instrumentation-auto-typescript.mddoc · 2,285 bytesreferences/instrumentation-manual-python.mddoc · 5,015 bytesreferences/instrumentation-manual-typescript.mddoc · 4,759 bytesreferences/metadata-python.mddoc · 1,826 bytesreferences/metadata-typescript.mddoc · 1,125 bytesreferences/production-python.mddoc · 1,535 bytesreferences/production-typescript.mddoc · 3,630 bytesreferences/projects-python.mddoc · 1,401 bytesreferences/projects-typescript.mddoc · 1,127 bytesreferences/sessions-python.mddoc · 2,334 bytesreferences/sessions-typescript.mddoc · 5,383 bytesreferences/setup-python.mddoc · 3,506 bytesreferences/setup-typescript.mddoc · 3,926 bytesreferences/span-agent.mddoc · 378 bytesreferences/span-chain.mddoc · 1,281 bytesreferences/span-embedding.mddoc · 2,795 bytesreferences/span-evaluator.mddoc · 1,678 bytesreferences/span-guardrail.mddoc · 1,395 bytesreferences/span-llm.mddoc · 3,107 bytesreferences/span-reranker.mddoc · 3,253 bytesreferences/span-retriever.mddoc · 3,433 bytesreferences/span-tool.mddoc · 2,708 bytes
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# Phoenix Tracing
Comprehensive guide for instrumenting LLM applications with OpenInference tracing in Phoenix. Contains reference files covering setup, instrumentation, span types, and production deployment.
## When to Apply
Reference these guidelines when:
- Setting up Phoenix tracing (Python or TypeScript)
- Creating custom spans for LLM operations
- Adding attributes following OpenInference conventions
- Deploying tracing to production
- Querying and analyzing trace data