Tool Call Return Signatures as a Production Signal Class in Multi-Agent Learning Loops
Treat tool responses as observable signals to debug silent failures across agent handoffs.
Tomasz Wierzbicki
Section
Production Signal Theory
11 stories in Production Signal Theory.
Translating Raw Production Traces Into a Prioritized Agent Improvement Backlog
Systematic tracing turns agent failures into ranked, evidence-backed fixes instead of guesswork.
Rafael Soo
Harness-Layer Fault Isolation as a Learning Loop Not Just a Debugging Step
Turning agent failure diagnosis into continuous improvement through harness redesign.
Priya Nambiar
Behavioral Logs vs. Evaluation Scores as Improvement Inputs
Behavioral logs reveal what agents actually did; evaluation scores only show whether they succeeded.
Priya Nambiar
Trace Sampling Strategies for Agent Observability
Sampling strategy determines whether agent failures get recorded or vanish silently.
Rafael Soo
Root Cause Attribution in Multi-Step Agent Runs
Tracing where multi-step agent failures actually originate, not where they surface.
Priya Nambiar
Cost, Latency, and Quality Alerting on Agent Production Traces
Unified alerting catches agent failures that span cost, latency, and quality.
Celeste Oduya
Signal-to-Noise Ratio in High-Volume LLM Trace Streams
Filtering agent traces requires understanding where failures actually originate.
Priya Nambiar
Taxonomy of Agent Failure Signals by Harness Layer
Most agent failures originate in the runtime harness, not the model itself.
Rafael Soo
Production Traces as Ground Truth for Agent Quality
Benchmarks miss where agents actually fail in production.
Priya Nambiar
Implicit Behavioral Signals in Agent Sessions
Behavioral signals in agent sessions reveal failures that ratings and judges systematically miss.
Rafael Soo