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The post identifies a gap where standard observability tooling catches infrastructure failures but leaves silent LLM behavioral regressions — the failure mode VIGIL and DeployBench describe as most common in agentic systems — undetected until user complaints arrive.
Treat this framework as a design checklist when building agentic systems that execute tools in production — it surfaces the specific authorization and evidence gaps that prompt injection and unchecked tool dispatch can exploit.
Developers building agentic pipelines should treat the context window as a finite budget — actively pruning, summarizing, and prioritizing what enters it to avoid compounding token costs and degraded reasoning across multi-step loops.