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title: AI Agent Debugging Setup: OpenTelemetry + Jaeger in...
description: AI agents exhibit unpredictable behavior where identical requests can produce vastly different execution paths—one taking 10 seconds with 10 operations,...
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# AI Agent Debugging Setup: OpenTelemetry + Jaeger in Kubernetes

**[DevOps Toolkit](https://daily.dev/sources/devops-toolkit)** · 11 min read · 0 upvotes · 0 comments

## Summary

AI agents exhibit unpredictable behavior where identical requests can produce vastly different execution paths—one taking 10 seconds with 10 operations, another over a minute with 42 operations. OpenTelemetry tracing solves this by capturing the complete journey of agent requests through LLM calls, tool executions, and external services. Using OpenTelemetry's GenAI semantic conventions provides vendor-neutral observability that integrates AI traces with existing infrastructure traces (databases, APIs, message queues) in a unified view. This approach offers advantages over agent-specific tools like LangSmith by leveraging existing observability infrastructure and connecting AI operations to the broader distributed system context.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=Dh7jAYHcAlo>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#kubernetes](https://daily.dev/tags/kubernetes), [#observability](https://daily.dev/tags/observability), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#opentelemetry](https://daily.dev/tags/opentelemetry)

[View this post on daily.dev](https://daily.dev/posts/ai-agent-debugging-setup-opentelemetry-jaeger-in-kubernetes-mlxbmoyri)

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