Field note10 min read
Segmentation is the first defense
We isolate tenants by region, route to regional endpoints, and pin prompt templates per locale so translations never leak policy.
const localeToProvider = {
JP: { model: "bedrock.titan-jp", dataset: "ap-northeast-1" },
SG: { model: "vertex.gemini-pro", dataset: "asia-southeast1" },
EU: { model: "openai.gpt-4o-mini", dataset: "europe-west1" },
};
export function route(locale: keyof typeof localeToProvider) {
const target = localeToProvider[locale];
return client(target.model, { dataset: target.dataset });
}
const agent = route(user.locale);Compliance guardrails
- PII classifiers per locale with redaction before storage
- Region-locked eval sets; no cross-region replay
- User-visible consent + data expiry surfaced in the UI
Result
Latency stayed under 1.4s P95 while satisfying APAC data residency and consent requirements.
Localization checklist
- Per-locale prompts with unit tests for tone and policy
- Fallback locales defined per market (e.g., BN → EN-APAC)
- Metrics segmented by locale and data region
Key takeaways
- Locale routing
- Data residency
- Policy-safe prompts
LocalizationComplianceChat
