MCP.directory

phoenix-tracing

by Arize-ai
0
0
Source

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

Install

mkdir -p .claude/skills/phoenix-tracing && curl -L -o skill.zip "https://mcp.directory/api/skills/download/6527" && unzip -o skill.zip -d .claude/skills/phoenix-tracing && rm skill.zip

Installs to .claude/skills/phoenix-tracing

About this skill

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

PriorityCategoryDescriptionPrefix
1SetupInstallation and configurationsetup-*
2InstrumentationAuto and manual tracinginstrumentation-*
3Span Types9 span kinds with attributesspan-*
4OrganizationProjects and sessionsprojects-*, sessions-*
5EnrichmentCustom metadatametadata-*
6ProductionBatch processing, maskingproduction-*
7FeedbackAnnotations and evaluationannotations-*

Quick Reference

1. Setup (START HERE)

2. Instrumentation

3. Span Types (with full attribute schemas)

4. Organization

5. Enrichment

6. Production (CRITICAL)

7. Feedback

Reference Files

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

More by Arize-ai

View all skills by Arize-ai →

arize-phoenix

Arize-ai

Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration

324

phoenix-cli

Arize-ai

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, and inspect datasets. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.

00

phoenix-evals

Arize-ai

Build and run evaluators for AI/LLM applications using Phoenix.

190

You might also like

flutter-development

aj-geddes

Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.

641968

drawio-diagrams-enhanced

jgtolentino

Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.

590705

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.

338397

ui-ux-pro-max

nextlevelbuilder

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

318395

nano-banana-pro

garg-aayush

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

450339

fastapi-templates

wshobson

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

304231

Related MCP Servers

Browse all servers
Knowledge Graph MemoryKnowledge Graph Memory

Build persistent semantic networks for enterprise & engineering data management. Enable data persistence and memory acro

80,5279 tools
SerenaSerena

Serena is a free AI code generator toolkit providing robust code editing and retrieval, turning LLMs into powerful artif

21,1630 tools
Arize PhoenixArize Phoenix

Arize Phoenix — unified interface for managing prompts, exploring datasets, and running LLM experiments across providers

8,7850 tools
Claude ContextClaude Context

Claude Context offers semantic code search and indexing with vector embeddings and AST-based code splitting. Natural lan

5,5770 tools
Basic MemoryBasic Memory

Basic Memory is a knowledge management system that builds a persistent semantic graph in markdown, locally and securely.

2,60617 tools
Microsoft DocsMicrosoft Docs

Access official Microsoft Docs instantly for up-to-date info. Integrates with ms word and ms word online for seamless wo

1,4273 tools

Stay ahead of the MCP ecosystem

Get weekly updates on new skills and servers.