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agent-observability
agent-observability에는 nexus-labs-automation에서 수집한 skills 14개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Trace agent decision-making, tool selection, and reasoning chains
Instrument safety checks, content filters, and guardrails for agent outputs
Strategies for evaluating agents in production - sampling, baselines, and regression detection
Track prompt versions, A/B test variants, and measure prompt performance
Instrument error handling, retries, fallbacks, and failure patterns
Instrument evaluation metrics, quality scores, and feedback loops
Instrument human approval workflows, feedback loops, and escalations
Plan what to measure in AI agent systems using tiered approach
Instrument LLM API calls with proper spans, tokens, and latency
Instrument RAG retrieval, memory operations, and context management
Instrument multi-agent workflows, handoffs, and parent-child relationships
Instrument sessions, conversations, and multi-turn interactions
Track token usage and costs across agents for budget management
Instrument agent tool executions with proper context and error handling