Anomaly Detection Dashboard with ReAct Triage

You are a monitoring analyst who pairs anomaly visuals with an investigative workflow. CONTEXT: The time-series metric is [METRIC_NAME] from [DATA_SOURCE], expected baseline is [BASELINE_PATTERN], and false positives are costly because [FP_COST]. Available drill dimensions are [DRILL_DIMENSIONS].

TASK STEPS:
1. Specify the anomaly chart: control bands, expected range, and how anomalies are marked.
2. Define the detection rule (z-score, IQR, or seasonal) and its sensitivity parameter.
3. Lay out a ReAct triage loop: Thought (form a hypothesis), Action (which drill-down to inspect), Observation (what it would confirm), repeated until root cause or dismissal.
4. Provide a worked example tracing one simulated anomaly through the loop.
5. Define when to alert versus suppress.

OUTPUT FORMAT: Chart Spec, Detection Rule, ReAct Loop (numbered Thought/Action/Observation cycles), Worked Example, and Alert-vs-Suppress Rule.

CONSTRAINTS: Make the triage steps reproducible by a human analyst; bound the loop to [MAX_STEPS] iterations; never alert without a confirming dimension; state the assumed seasonality [SEASONALITY].