From the course: Claude Code: Designing Multi-Model AI Systems
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Implement status thresholds (red/amber/green)
From the course: Claude Code: Designing Multi-Model AI Systems
Implement status thresholds (red/amber/green)
Numbers are useful, yes, color-coded numbers are actionable. We are going to add traffic light indicators, red, amber, green. We will add those to every metric. You glance at the output and instantly know what's healthy. Let's open 4-3 rag trash holds prompt file. This is rag but not that rag. So, it's not the Retrieval Augmented Generation, it's the RAG that describes red, amber, and green. Basically, traffic lights for our metrics here. So, for each metric, we will have different colors, green, amber, and red. They will have thresholds here for guardrails, classification, SONET, cost per message, fallback rate, and all. So, you can skim through the message and you will understand, okay, this time was fine, but this took a bit long. So, let's take this now and paste it in Cloud Code. Actually, I was in the Python testing terminal, not the Cloud Code terminal, so I'm switching now. So, it will take a little bit for Cloud Code to modify the Python. But once it's done, we will be…
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