When agent trace metrics lie: the span tree double-counting problem

📰 Dev.to · Vladimir

Learn to identify and fix the span tree double-counting problem in agent trace metrics, crucial for accurate monitoring and debugging in AI and software development

intermediate Published 25 Mar 2026
Action Steps
  1. Identify the span tree structure in your agent trace metrics using tools like OpenTelemetry
  2. Detect potential double-counting issues by analyzing the span tree
  3. Apply aggregation techniques to correct double-counting and ensure accurate metrics
  4. Implement OpenInference support for your agent trace comparison tool to facilitate accurate analysis
  5. Test and validate your metrics to ensure they are reliable and trustworthy
Who Needs to Know This

Developers, DevOps engineers, and AI researchers working with distributed systems and agent trace metrics can benefit from understanding this problem to ensure accurate monitoring and debugging

Key Insight

💡 The span tree double-counting problem can lead to inaccurate agent trace metrics, but it can be identified and fixed using aggregation techniques and tools like OpenTelemetry

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🚨 Agent trace metrics can lie! 🚨 Learn to spot and fix the span tree double-counting problem to ensure accurate monitoring and debugging #AI #Opentelemetry #Python

Key Takeaways

Learn to identify and fix the span tree double-counting problem in agent trace metrics, crucial for accurate monitoring and debugging in AI and software development

Full Article

Title: When agent trace metrics lie: the span tree double-counting problem

URL Source: https://dev.to/khan5v/when-agent-trace-metrics-lie-the-span-tree-double-counting-problem-3lhp

Published Time: 2026-03-25T18:06:27Z

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Posted on Mar 25 • Originally published at [orekhov.work](https://orekhov.work/posts/span-tree-aggregation/)

# When agent trace metrics lie: the span tree double-counting problem

[#llm](https://dev.to/t/llm)[#ai](https://dev.to/t/ai)[#opentelemetry](https://dev.to/t/opentelemetry)[#python](https://dev.to/t/python)

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