Mappings
Overview
routing.projections.mappings turns a projection score into named routing bands that decisions can consume.
Use mappings when:
- decisions should read semantic labels such as
balance_reasoningorverification_requiredinstead of raw thresholds - one score should feed several decisions through reusable named outputs
- routing policy review should happen over named bands instead of inline numeric comparisons
Key Advantages
- Converts numeric scores into readable policy names that decisions consume.
- Centralizes threshold policy in one place instead of duplicating it across routes.
- Lets one score feed many decisions through reusable named outputs.
- Supports optional confidence calibration via
sigmoid_distance.
What Problem Does It Solve?
Scores are useful internal signals, but decision rules should not depend on everyone remembering that "0.82 means reasoning tier" or "0.35 means verification required."
Mappings solve that by turning numeric thresholds into reusable policy names.
That gives you two benefits:
- one score can feed many decisions
- threshold policy lives in one place instead of being repeated across routes
This is also the point where a projection becomes decision-visible. In the current implementation, decisions can only reference mapping.outputs[*].name, not score names or partition names.
How Mappings Behave at Runtime
The implementation supports two mapping methods:
threshold_bands(default, also used whenmethodis unset) — emits the first matching output band.multi_emit— emits every matching output band, so one mapping can set several orthogonal policy tags from the same score. Requires at least two outputs.
Each output declares one or more bounds using:
ltltegtgte
Important runtime details:
- outputs are checked in declared order
- with
threshold_bands, the first matching output wins - with
multi_emit, every matching output is emitted (in declared order) - if no output matches, the mapping emits nothing
- optional
calibrationcomputes a confidence for each emitted projection output
The supported calibration method today is sigmoid_distance, which derives confidence from how far the score sits from the nearest threshold boundary.
Canonical YAML
routing:
projections:
mappings:
- name: difficulty_band
source: difficulty_score
method: threshold_bands
calibration:
method: sigmoid_distance
slope: 10.0
outputs:
- name: balance_simple
lt: 0.18
- name: balance_medium
gte: 0.18
lt: 0.48
- name: balance_complex
gte: 0.48
lt: 0.82
- name: balance_reasoning
gte: 0.82
decisions:
- name: reasoning_deep
priority: 250
rules:
operator: AND
conditions:
- type: domain
name: math
- type: projection
name: balance_reasoning
DSL
PROJECTION mapping difficulty_band {
source: "difficulty_score"
method: "threshold_bands"
calibration: { method: "sigmoid_distance", slope: 10 }
outputs: [
{ name: "balance_simple", lt: 0.18 },
{ name: "balance_medium", gte: 0.18, lt: 0.48 },
{ name: "balance_complex", gte: 0.48, lt: 0.82 },
{ name: "balance_reasoning", gte: 0.82 }
]
}
ROUTE reasoning_deep {
PRIORITY 250
WHEN domain("math") AND projection("balance_reasoning")
MODEL "google/gemini-3.1-pro"
}
Config Fields
| Field | Meaning |
|---|---|
name | mapping identifier |
source | score name to read from |
method | threshold_bands (default) or multi_emit |
calibration | optional confidence model for the matched output |
outputs[].name | decision-visible projection name |
outputs[].lt/lte/gt/gte | threshold bounds for that output |
Dashboard
Config -> Projectionsedits mappings in canonical config formConfig -> Decisionscan reference mapping outputs with condition typeprojection
Configuration
Mappings are configured under routing.projections.mappings. Each mapping requires a name, a source score, a method (threshold_bands by default, or multi_emit), and a list of outputs with threshold bounds. See the Canonical YAML and Config Fields sections above for full field reference.
When to Use
Use mappings when:
- several routes should share the same tier names
- you want readable decision rules such as
projection("verification_required") - threshold policy should be centralized and auditable
When Not to Use
Do not use mappings when:
- the decision should reference a raw signal directly
- the score is only diagnostic and not part of routing policy
- you have not first defined the score that this mapping should read from
Design Notes
- Keep output names policy-oriented so decisions read like routing intent, not threshold math.
- Keep threshold bands monotonic, ordered, and easy to audit.
- Let decisions consume named outputs with
type: projectionrather than repeating numeric thresholds in multiple places. - With
threshold_bands, avoid overlapping bands unless you intentionally want order-dependent behavior; the runtime returns the first matching output. Usemulti_emitwhen overlapping bands should all fire (e.g. orthogonal policy tags).