Design multi-model experience layers that detect sensitive contexts, route intelligently, and preserve user trust.
| Component | Role | Implementation Notes |
|---|---|---|
| Context detector | Classifies incoming turns for safety, sentiment, or regulatory triggers | Blend lightweight classifiers with keyword heuristics and conversation history cues |
| Model registry | Catalog of available models, their capabilities, and safety envelopes | Track latency budgets, cost, allowed domains, and fallback priorities |
| Policy engine | Rule layer that maps detected contexts to routing decisions | Represent policies as declarative rules or decision tables with audit trails |
| Explanation module | Generates user-facing notices when routing changes | Use plain language and offer opt-out where feasible |
| Monitoring & feedback | Captures routing outcomes, user reactions, and incidents | Feed signals back into policy tuning cycles |
These components form a loop: detect → decide → execute → explain → learn.