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LLMOps

LLMOps Telemetry Command Center

Reliability · latency · cost · routing · triage.

Turns LLM telemetry into operational decisions around reliability, latency, cost, routing, drift, and triage.

  • LLMOps
  • Telemetry
  • Observability
  • Drift Signals
  • Routing Review
  • Triage
LLMOps Telemetry Command Center

Problem

LLM applications need more than aggregate dashboards; operators need telemetry that explains reliability, cost, drift, routing behavior, and triage pressure.

Approach

  • Organizes offline interaction telemetry into operator-facing views for operating posture, risk hotspots, routing scenarios, triage simulation, and review queues.
  • Separates validation, quality review, drift inspection, and evidence export so operational issues remain visible and auditable.
  • Uses routing and triage views to compare policy behavior before changing thresholds or model-routing rules.

Signals & Results

  • Analysis scale: 9,000 offline interactions across 1,595 sessions.
  • Operator workflow: telemetry validation → KPIs → hotspots → routing scenarios → triage simulation → review queue → evidence exports.
  • Explicit scope boundary: self-contained offline review system using bundled synthetic telemetry; it does not claim live production traffic or provider integration.

Stack

  • Python
  • Streamlit
  • Plotly
  • Pandas
  • NumPy
  • Docker
  • pytest
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