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Update _posts/2025-05-08-agentic-ai-with-quarkus-p3.adoc
Co-authored-by: Clement Escoffier <[email protected]>
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_posts/2025-05-08-agentic-ai-with-quarkus-p3.adoc

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@@ -112,4 +112,4 @@ Finally, as evidenced by tracing of the agentic execution, its current implement
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.Tracing agentic routing execution
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image::routing-agentic-trace.png[align=center, alt="Tracing agentic routing execution"]
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This depends on how the agent is using the LLM expert as a tool: even though it has been explicitly required to forward the response of the expert as it is and without any modification, it seems to ignore this instruction and can't avoid to waste a relevant amount time reprocessing the expert's answer before returning it. In other words this is a side-effect of the fact that the agent is in complete control of the execution and there is no way to forward this control to a different LLM as it would be convenient in this case.
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This depends on how the agent uses the LLM expert as a tool: even though it has been explicitly required to forward the expert’s response as it is and without any modification, it seems to ignore this instruction. It can't avoid wasting significant time reprocessing the expert's answer before returning it. In other words, this is a side-effect of the fact that the agent is in complete control of the execution, and there is no way to forward this control to a different LLM, as it would be convenient in this case.

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