Jev + Google Gemini 1.5 / 2.0: Architectural Guide & Benchmarks

          import { GoogleGenAI } from '@google/genai';
import { TypeSafeClient } from '@typesafe/sdk';

const ai = new GoogleGenAI();
const jev = new TypeSafeClient();

export async function processVisualInspection(imageBuffer: Buffer) {
  // 1. Gemini extracts dense visual facts from sensor or image
  const visualAnalysis = await ai.models.generateContent({
    model: 'gemini-1.5-flash',
    contents: ['Extract structural defects, measurements, and object tags as JSON.', imageBuffer]
  });

  // 2. Jev executes the calibrated decision without string generation latency
  const inspectionDecision = await jev.evaluate({
    state: JSON.parse(visualAnalysis.text),
    query: {
      action: ['APPROVE_MANUFACTURING', 'REJECT_DEFECTIVE', 'MANUAL_INSPECTION_REQUIRED'],
      confidence_threshold: 0.90
    }
  });

  return inspectionDecision;
}