AgentOS

import { agent } from '@framers/agentos';

// Personality is six 0-1 trait values. Each trait above 0.65 or below 0.35
// adds one line of direction to the system prompt; a trait in between, or
// one left out (0.5), adds none.
const tutor = agent({
  provider: 'openai',
  model: 'gpt-4o',
  instructions: 'You are a patient programming tutor.',
  personality: {
    honesty:           0.85,  // direct, transparent, no flattery
    emotionality:      0.70,  // tone-aware without being clinical
    extraversion:      0.50,  // in between: adds no line
    agreeableness:     0.75,  // warm, encouraging
    conscientiousness: 0.90,  // structured, thorough, follow-through
    openness:          0.85,  // creative, exploratory framing
  },
});

// Each session keeps its own conversation history in process memory
// (bounded to about 120,000 tokens), so two session ids share nothing.
const session = tutor.session('user-42');

// Every send() passes the session's earlier turns to the model.
await session.send('My exam is on distributed systems next Thursday.');
await session.send('I struggle with consensus algorithms.');
const reply = await session.send('What should I focus on this week?');
console.log(reply.text);

// The transcript the session holds, and the tokens it has used.
console.log(session.messages());
const usage = await session.usage();
console.log(`Total tokens: ${usage.totalTokens}`);