Quickstart

import { createClient } from 'minns-sdk';

const client = createClient({
  baseUrl: "https://minns.ai/api/",
  apiKey: process.env.MINNS_API_KEY,
  defaultAsync: true,
  autoBatch: true,
  batchInterval: 100,
  batchMaxSize: 20,
});

const response = await client.event("movie-bot", { agentId: 1, sessionId: 5001 })
  .context("I want to book Interstellar for tonight.", "conversation")
  .goal("book_movie", 5)
  .send();

console.log(response);
// { success: true, nodes_created: 5, patterns_detected: 2, processing_time_ms: 15 }

const actionResponse = await client.event("movie-bot", { agentId: 1, sessionId: 5001 })
  .action("book_movie_ticket", { movie: "Interstellar", seat: "H12" })
  .outcome({ confirmation_id: "CONF-123" })
  .goal("book_movie", 5, 1.0) // progress = 1.0 completes the episode
  .send();

const memories = await client.getContextMemories({
  active_goals: [{ id: 101, description: "book_movie", priority: 0.9, progress: 0.5, subgoals: [] }],
  environment: { variables: { user_id: "user_99" }, temporal: { deadlines: [], patterns: [] } },
  resources: {
    computational: { cpu_percent: 50.0, memory_bytes: 1024000, storage_bytes: 1024000000, network_bandwidth: 1000 },
    external: {}
  }
});

console.log(memories);

const claims = await client.searchClaims({
  query_text: "What are the user's movie preferences?",
  top_k: 3,
  min_similarity: 0.7,
});

claims.forEach(c => console.log(c.claim_text));

const suggestions = await client.getActionSuggestions(contextHash);

suggestions.forEach(s => {
  console.log(`${s.action_name} — ${(s.success_probability * 100).toFixed(0)}% success`);
  console.log(`  Reasoning: ${s.reasoning}`);
});

await client.flush();