Agent Reliability Score 🔮, OpenTelemetry Profiles 📜, Measuring Software Slop 📏

**TL;DR** - New agent reliability scoring framework uses OpenTelemetry traces to measure AI agent output quality at scale.

The 10-Second Pitch

• Agent reliability is not just accuracy - it is consistency, recovery rate, and graceful degradation over time
• OpenTelemetry traces give observability infrastructure to score agents without ground truth labels
• Software slop (AI-generated code syntactically correct but semantically wrong) now measurable using trace divergence

Setup in 3 Steps

1. Instrument agentic workflows with OpenTelemetry spans - you cannot score what you cannot observe

2. Define reliability as composite of: task completion rate, recovery rate, and output variance over time

3. Use trace divergence as proxy for software slop - high divergence from expected execution paths indicates problems

**Example Prompt:**

Design an OpenTelemetry-based scoring system for an AI customer support agent handling tier-1 tickets.

Verdict

If running agents in production and not using OpenTelemetry, you are flying blind.