Agent Skills: Phoenix Arize Setup Skill

Arize Phoenix observability platform setup for LLM debugging and evaluation

UncategorizedID: a5c-ai/babysitter/phoenix-arize-setup

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/phoenix-arize-setup

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plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/phoenix-arize-setup/SKILL.md

Skill Metadata

Name
phoenix-arize-setup
Description
Arize Phoenix observability platform setup for LLM debugging and evaluation

Phoenix Arize Setup Skill

Capabilities

  • Set up Phoenix local server
  • Configure tracing instrumentation
  • Design evaluation experiments
  • Implement embedding visualizations
  • Set up retrieval analysis
  • Create custom evaluations with LLM-as-judge

Target Processes

  • llm-observability-monitoring
  • agent-evaluation-framework

Implementation Details

Core Features

  1. Tracing: OpenTelemetry-based LLM traces
  2. Evals: LLM-as-judge evaluations
  3. Embeddings: Visualization and drift detection
  4. Retrieval: RAG quality analysis
  5. Datasets: Experiment management

Instrumentation

  • OpenAI auto-instrumentation
  • LangChain instrumentation
  • LlamaIndex instrumentation
  • Custom span creation

Configuration Options

  • Phoenix server setup
  • Trace sampling
  • Evaluation metrics
  • Embedding models
  • Export settings

Best Practices

  • Comprehensive instrumentation
  • Regular evaluation runs
  • Monitor embedding drift
  • Analyze retrieval quality

Dependencies

  • arize-phoenix
  • openinference-instrumentation-openai