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[ARTICLE · art-62088] src=pub.towardsai.net ↗ pub= topic=ai-agents verified=true sentiment=· neutral

Your AI Agent Says “Done!” — Here’s How to Know If It’s Lying

A new open-source tracing and evaluation library helps developers detect when AI agents falsely report task completion after failing a tool call, a failure mode that standard logging misses. The library provides dependency-light instrumentation to catch such hallucinations in agentic workflows.

read1 min views1 publishedJul 16, 2026
Your AI Agent Says “Done!” — Here’s How to Know If It’s Lying
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A tested, dependency-light tracing and evaluation library that catches the failure mode plain logging can’t — an agent that fails a tool call and confidently reports success anyway.

Estimated Reading Time: 17–20 minutes

Table of Contents #

  • Introduction
  • Problem Statement
  • Background
  • Core Concepts
  • Technology Deep Dive
  • Architecture
  • Mini Project: TraceBench
  • Implementation
  • Code Walkthrough
  • Testing
  • Performance
  • Limitations
  • Best Practices
  • Common Mistakes
  • Production Considerations
  • Future Improvements
  • Conclusion
  • Further Reading
  • Official References

Introduction #

Picture a pilot’s black box. It doesn’t fly the plane. It doesn’t make the plane safer by itself. What it does is record, second by second, exactly what every system was doing — so that when something goes wrong, nobody has…

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