Leonardo Otero

import Anthropic from "@anthropic-ai/sdk";
 
const client = new Anthropic();
 
interface UserContext {
  location: { lat: number; lng: number; locality: string };
  visitHistory: { place: string; count: number }[];
  friends: { name: string; distance_km: number }[];
  weather: { temp: number; condition: string };
}
 
async function generateEncounterSuggestion(ctx: UserContext) {
  const prompt = `Based on this user context, suggest an encounter:
    Location: ${ctx.location.locality}
    Top visited: ${ctx.visitHistory.map(v => v.place).join(", ")}
    Nearby friends: ${ctx.friends.filter(f => f.distance_km < 5).map(f => f.name).join(", ")}
    Weather: ${ctx.weather.temp}°C, ${ctx.weather.condition}`;
 
  const message = await client.messages.create({
    model: "claude-sonnet-4-20250514",
    max_tokens: 256,
    messages: [{ role: "user", content: prompt }],
  });
 
  return message.content[0].text;
}
 
// Run with sample data
const suggestion = await generateEncounterSuggestion({
  location: { lat: 52.52, lng: 13.405, locality: "Berlin" },
  visitHistory: [
    { place: "Mauerpark", count: 12 },
    { place: "Prater Garten", count: 8 },
    { place: "Tempelhofer Feld", count: 15 },
  ],
  friends: [
    { name: "Sarah", distance_km: 1.2 },
    { name: "Marco", distance_km: 3.8 },
    { name: "Lena", distance_km: 0.5 },
  ],
  weather: { temp: 18, condition: "partly cloudy" },
});
 
console.log(suggestion);