Context Compression

# .env
# LLM API key
OPENAI_API_KEY=sk-your-openai-api-key-here

# Database for agent persistence and context storage
DB_URL=sqlite://./astreus.db

import { Agent } from '@astreus-ai/astreus';

const agent = await Agent.create({
  name: 'ContextAgent',
  model: 'gpt-4o',
  contextCompression: true, // Enable automatic context management
  systemPrompt: 'You can handle very long conversations efficiently.'
});

// Simulate a very long conversation
for (let i = 1; i <= 50; i++) {
  const task = await agent.createTask({
    prompt: `Tell me an interesting fact about space. This is message #${i}.`
  });
  
  const result = await agent.executeTask(task.id);
  console.log(`Fact ${i}:`, result.response.slice(0, 100) + '...');
}

// Test context retrieval - agent should remember early facts
const memoryTest = await agent.createTask({
  prompt: "What was the first space fact you told me? Reference message #1."
});

const memoryResult = await agent.executeTask(memoryTest.id);
console.log('Memory test result:', memoryResult.response);

// System automatically:
// 1. Keeps recent messages in immediate context
// 2. Summarizes older messages to save tokens  
// 3. Stores everything in persistent context for retrieval