AntispamLayerDto

layerstringrequired

Evidence layer identifier.

Example: L2

scorenumberrequired

This layer's risk contribution, 0–100.

Example: 20

signalsstring[]required

Human-readable evidence signals produced by this layer.

Example: ["lang:en","url-shortener"]

labelstring

This layer's own classification (AI layers only).

Possible values: [clean, spam, phishing]

Example: phishing

rationalestring

AI rationale for this layer (L4).

modelAvailableboolean

False when the AI model was unreachable (the check degrades to heuristics + threat-intel).

Example: true

latencyMsnumber

Wall-clock latency of this layer's model/provider call, in ms.

Example: 1969

usage object

Token usage for AI layers.

modelstring

ROUNDBOX AI model that produced this layer (Henrietta classifier).

Example: henrietta-classify

inputTokensnumber

Example: 165

outputTokensnumber

Example: 59

reasoningTokensnumber

Example: 0

cachedInputTokensnumber

Example: 0

AntispamLayerDto

{
  "layer": "L2",
  "score": 20,
  "signals": [
    "lang:en",
    "url-shortener"
  ],
  "label": "phishing",
  "rationale": "string",
  "modelAvailable": true,
  "latencyMs": 1969,
  "usage": {
    "model": "henrietta-classify",
    "inputTokens": 165,
    "outputTokens": 59,
    "reasoningTokens": 0,
    "cachedInputTokens": 0
  }
}