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5 production challenges in multi-agent systems and how Deep Insight solved them

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Many teams build a multi-agent AI prototype in days but hit a wall in production. This post defines five production challenges (orchestration, per-agent model selection, reliable operation, secure code execution, and monitoring) and shows how Deep Insight, an open source multi-agent system on AWS, solves each.

Extracto de la fuente

Building a multi-agent system is now pretty straightforward. Taking it to production is where the real challenges begin. Thanks to open source frameworks and cloud services, you can set up an agent in a matter of days. A few tool calls, a few lines of prompt, and you have something that looks impressive. But the moment teams try to move beyond a pilot and into real business applications, they hit a familiar wall. If you’ve ever tried to put an agent into production, these frustrations will…

overfeed.news indexa y enlaza. Publicamos un extracto breve; el artículo completo sigue en AWS Machine Learning Blog.

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5 production challenges in multi-agent systems and how Deep…