Multi-agent AI systems face microservices-style visibility problems, O'Reilly author says
Overview
An O'Reilly Radar article by an author who says they worked on the design doc for a three-agent workflow argues that AI agent systems are repeating the visibility problems microservices created in 2019.
The author reports that the workflow's output quality declined slowly and that it took about three weeks to trace the cause to a dropped field. The article recommends three fixes: an agent registry, end-to-end tracing using OpenTelemetry's GenAI conventions, and contract tests for prompt changes.
Written by AI from the articles below · updated Nov 9, 7:30 AM ET
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The articles in this story. Times are ET.
- O'Reilly RadarBlogWhy AI agents are repeating microservices' mistakes, and how to avoid them
AIThe author, who says they were on the design doc for a three-agent workflow, reports that the system's output quality declined slowly and that it took about three weeks to trace the cause to a dropped field. The article argues that multi-agent systems face the same visibility problems that microservices created in 2019, and it recommends an agent registry, end-to-end tracing with OpenTelemetry's GenAI conventions, and contract tests for prompt changes.
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