When Your Agent Breaks in Production and Logs Tell You Nothing Useful
Trace agent execution paths to find where decisions went wrong, not just where operations failed.
Trace agent execution paths to find where decisions went wrong, not just where operations failed.
Output integrity checks at tool boundaries catch silent failures agents miss on their own.
Test agent changes against real production failures before shipping to catch cascading errors.
Layer-by-layer testing pinpoints which agent component caused a production failure.
Freezing upstream state isolates which agent step caused the failure.
Configuration changes can silently degrade retrieval quality without triggering system alerts.
Slow retrievals degrade context quality, compounding failures across planning and tool use.
LLMs lose reasoning ability before filling their context window, requiring intentional curation.
Silent memory failures hide inside successful model calls until production traces expose them.
Ranking errors supply wrong evidence before generation begins.
Trace which harness layer let outdated context slip through to your model.