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Langfuse integration

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/langfuse-integration

LangFuse LLM observability integration for tracing, analytics, and cost trackingFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill langfuse-integration

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SKILL.md

1.5 KB, 244 tokens by cl100k_base, as published. Nobody here has run it

LangFuse Integration Skill

Capabilities

  • Set up LangFuse tracing for LLM calls
  • Configure cost tracking and analytics
  • Implement prompt management
  • Set up evaluation datasets
  • Design custom trace metadata
  • Create dashboards and alerts

Target Processes

  • llm-observability-monitoring
  • cost-optimization-llm

Implementation Details

Core Features

  1. Tracing: Track LLM calls, chains, and agents
  2. Prompts: Version and manage prompts
  3. Analytics: Usage, latency, cost metrics
  4. Datasets: Evaluation and testing data
  5. Scores: Track output quality

Integration Methods

  • LangChain callback handler
  • Direct SDK integration
  • OpenAI drop-in replacement
  • Decorator-based tracing

Configuration Options

  • Public/secret keys
  • Host URL (cloud or self-hosted)
  • Sampling rate
  • Metadata configuration
  • User tracking

Best Practices

  • Consistent trace naming
  • Meaningful metadata
  • Regular prompt versioning
  • Set up alerting

Dependencies

  • langfuse
  • langchain (for callback integration)

What ships with it: 1 file

458 B alongside SKILL.md

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