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// Rule-based + vector similarity matching
export function scoreCandidate(candidate: Candidate, shift: Shift): number {
  const skillsScore = intersection(candidate.skills, shift.requiredSkills).length;
  const distanceKm = haversine(candidate.location, shift.location);
  const distanceScore = Math.max(0, 10 - distanceKm / 5);
  const availabilityBonus = candidate.availableFrom <= shift.start ? 5 : 0;
  return skillsScore * 3 + distanceScore + availabilityBonus;
}

export function rank(candidates: Candidate[], shift: Shift) {
  return candidates
    .map(c => ({ c, score: scoreCandidate(c, shift) }))
    .sort((a, b) => b.score - a.score)
    .slice(0, 5);
}

// Retrieval-augmented chat message
const answer = await assistant.respond({
  question,
  retrieve: [
    { type: 'documents', tags: ['care-plan','policy'] },
  ],
  guardrails: { piiRedaction: true }
});

// Optimise care routes with simple heuristics
export function optimise(visits: Visit[]) {
  return nearestNeighbour(visits)
    .map(batch => twoOpt(batch));
}