Intent Routing Architecture Pattern
Deterministic traffic dispatching: classifying requests with low latency and routing to code, specialist LLMs, or humans.
What It Solves & Overview
The Intent Routing pattern uses Jev System One to rapidly categorize incoming user requests. High-confidence deterministic requests route immediately to hardcoded logic; complex ambiguity routes to specialized LLMs, and high-risk operations gate to human operators.
Suitability & Fit
When to Use
- High-volume customer support gateways handling both routine requests and critical escalations.
- API gateways needing fast front-door dispatch without burning tokens on massive generative models.
- Security-sensitive workflows where confidence thresholding gates automated execution.
When NOT to Use
- Homogeneous requests that always follow a single uniform processing pipeline.
Installation & Setup
Built using @typesafe-ai/sdk or typesafe-sdk. No separate package installation required.Offline Contract Verification Example
Verification Notice: The code snippet below demonstrates local structural validation of inputs and choice schemas without requiring live network credentials. Real-world API execution requires active connectivity and API credentials.
// Offline routing dispatcher logic test
function dispatchRoute(intent: string, confidence: number) {
if (confidence >= 0.85) return 'deterministic_fast_path';
if (confidence >= 0.50) return 'specialist_llm_flow';
return 'human_review_queue';
}
console.log('Dispatch verified offline:', dispatchRoute('refund', 0.92));Prerequisites & Operational Boundaries
Prerequisites
- TypeSafe SDK installed in backend service.
- Established thresholds for confidence gating.
Known Limitations
- Requires clear, mutually exclusive candidate option definitions for optimal classification.
Official Source Provenance
This guide is compiled and fact-checked against official upstream assets: