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Agentic AI Atlas · LLM Observability
skill-area:llm-observabilitya5c.ai
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skill-area:llm-observability

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LLM Observability overview

Monitoring and debugging LLM-powered applications in production — tracing prompt/response chains, tracking token usage and cost, detecting drift, and capturing user feedback for continuous improvement.

SkillAreaOutgoing · 1Incoming · 6

Attributes

displayName
LLM Observability
description
Monitoring and debugging LLM-powered applications in production — tracing prompt/response chains, tracking token usage and cost, detecting drift, and capturing user feedback for continuous improvement.
domains
  • domain:ml-ops
expertiseLevels
  • intermediate
  • expert

Outgoing edges

applies_to1
  • domain:ml-ops·DomainMLOps

Incoming edges

prerequisite_for_learning1
  • skill-area:ai-agent-development·SkillAreaAI Agent Development
tool_used_by3
  • tool:lunaroute·ToolLunaRoute
  • tool:langsmith·ToolLangSmith
  • tool:langfuse·ToolLangfuse
used_for2
  • tool:langsmith·ToolLangSmith
  • tool:langfuse·ToolLangfuse

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