II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--llm-observability-monitoring
llm-observability-monitoring overview
LLM Observability and Monitoring - Process for implementing comprehensive observability for LLM applications including request tracing, token usage tracking, latency monitoring, and quality metrics.
Attributes
displayName
llm-observability-monitoring
description
LLM Observability and Monitoring - Process for implementing comprehensive observability
for LLM applications including request tracing, token usage tracking, latency monitoring, and quality metrics.
libraryPath
library/specializations/ai-agents-conversational/llm-observability-monitoring.js
specialization
ai-agents-conversational
references
- - LangSmith: https://docs.smith.langchain.com/ - Langfuse: https://langfuse.com/docs - OpenTelemetry: https://opentelemetry.io/docs/ - Helicone: https://docs.helicone.ai/
example
const result = await orchestrate('specializations/ai-agents-conversational/llm-observability-monitoring', {
systemName: 'production-agent',
observabilityTools: ['langsmith', 'langfuse', 'opentelemetry'],
metricsConfig: { enableTokenTracking: true, enableLatencyHistograms: true }
});
usesAgents
- observability-engineer
- token-tracker
- latency-developer
- quality-developer
- logging-developer
- dashboard-developer
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:agent-evaluation-cycle·WorkflowAgent Evaluation Cycle
uses_agent1
- lib-agent:ai-agents-conversational--observability-engineer·LibraryAgentobservability-engineer
Incoming edges
None.