github/awesome-copilot · Official

phoenix-tracing

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

All-time #9283 First seen Apr 2, 2026
8-week activity · all time api

Installation

$ npx skills add github/awesome-copilot --skill phoenix-tracing

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Declared
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Repository health

Stars 38.8K
License LICENSE
Default branch main
Open issues 21
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseApache-2.0
CompatibilityRequires Phoenix server. Python skills need arize-phoenix-otel; TypeScript skills need @arizeai/phoenix-otel.
Declared agents github-copilot
More metadata
version
1.0.0
languages
Python, TypeScript

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,439 B
  • docs README.md 842 B
  • docs SUMMARY.md 193 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1,100 installs

SKILL.md

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

Reference Categories

Priority Category Description Prefix
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-*

Quick Reference

1. Setup (START HERE)

  • [setup-python](references/setup-python.md) - Install arize-phoenix-otel, configure endpoint
  • [setup-typescript](references/setup-typescript.md) - Install @arizeai/phoenix-otel, configure endpoint

2. Instrumentation

  • [instrumentation-auto-python](references/instrumentation-auto-python.md) - Auto-instrument OpenAI, LangChain, etc.
  • [instrumentation-auto-typescript](references/instrumentation-auto-typescript.md) - Auto-instrument supported frameworks
  • [instrumentation-manual-python](references/instrumentation-manual-python.md) - Custom spans with decorators
  • [instrumentation-manual-typescript](references/instrumentation-manual-typescript.md) - Custom spans with wrappers

3. Span Types (with full attribute schemas)

  • [span-llm](references/span-llm.md) - LLM API calls (model, tokens, messages, cost)
  • [span-chain](references/span-chain.md) - Multi-step workflows and pipelines
  • [span-retriever](references/span-retriever.md) - Document retrieval (documents, scores)
  • [span-tool](references/span-tool.md) - Function/API calls (name, parameters)
  • [span-agent](references/span-agent.md) - Multi-step reasoning agents
  • [span-embedding](references/span-embedding.md) - Vector generation
  • [span-reranker](references/span-reranker.md) - Document re-ranking
  • [span-guardrail](references/span-guardrail.md) - Safety checks
  • [span-evaluator](references/span-evaluator.md) - LLM evaluation

4. Organization

  • [projects-python](references/projects-python.md) / [projects-typescript](references/projects-typescript.md) - Group traces by application
  • [sessions-python](references/sessions-python.md) / [sessions-typescript](references/sessions-typescript.md) - Track conversations

5. Enrichment

  • [metadata-python](references/metadata-python.md) / [metadata-typescript](references/metadata-typescript.md) - Custom attributes

6. Production (CRITICAL)

  • [production-python](references/production-python.md) / [production-typescript](references/production-typescript.md) - Batch processing, PII masking

7. Feedback

  • [annotations-overview](references/annotations-overview.md) - Feedback concepts
  • [annotations-python](references/annotations-python.md) / [annotations-typescript](references/annotations-typescript.md) - Add feedback to spans

Reference Files

  • [fundamentals-overview](references/fundamentals-overview.md) - Traces, spans, attributes basics
  • [fundamentals-required-attributes](references/fundamentals-required-attributes.md) - Required fields per span type
  • [fundamentals-universal-attributes](references/fundamentals-universal-attributes.md) - Common attributes (user.id, session.id)
  • [fundamentals-flattening](references/fundamentals-flattening.md) - JSON flattening rules

Common Workflows

  • Quick Start: setup-{lang} → instrumentation-auto-{lang} → Check Phoenix
  • Custom Spans: setup-{lang} → instrumentation-manual-{lang} → span-{type}
  • Session Tracking: sessions-{lang} for conversation grouping patterns
  • Production: production-{lang} for batching, masking, and deployment

How to Use This Skill

Navigation Patterns:

# By category prefix
references/setup-*              # Installation and configuration
references/instrumentation-*    # Auto and manual tracing
references/span-*               # Span type specifications
references/sessions-*           # Session tracking
references/production-*         # Production deployment
references/fundamentals-*       # Core concepts
references/attributes-*         # Attribute specifications

# By language
references/*-python.md          # Python implementations
references/*-typescript.md      # TypeScript implementations

Reading Order:

  1. Start with setup-{lang} for your language
  2. Choose instrumentation-auto-{lang} OR instrumentation-manual-{lang}
  3. Reference span-{type} files as needed for specific operations
  4. See fundamentals-* files for attribute specifications

References

Phoenix Documentation:

Python API Documentation:

TypeScript API Documentation:

  • TypeScript Packages - @arizeai/phoenix-otel, @arizeai/phoenix-client, and other TypeScript packages