Your agent works. It reasons, calls tools, and returns answers in the demo that impress everyone. B…
انتشار: 2026/08/12 14:29 UTCدریافت: 2026/08/15 10:21 UTCآخرین مشاهده: 2026/08/15 10:21 UTC
Your agent works. It reasons, calls tools, and returns answers in the demo that impress everyone. But between that notebook and a production deployment sits a gap having nothing to do with your model or your framework. Three failures hit a single AI agent deployment overnight—43 duplicate tickets, $4,000 charged to the wrong account, and a hallucinated refund policy leading to a $280 return the company had to honor. The agent ran on LangChain. It worked perfectly in staging. Every failure was an infrastructure failure, not an intelligence failure.I've watched teams spend months closing that via Red Hat Blog ift.tt/2FMmCsN
