Quickstart

# Replace with your actual credentials
export TRAINLY_API_KEY="tk_your_api_key"
export TRAINLY_CHAT_ID="chat_abc123"

curl -X POST https://api.trainlyai.com/v1/${TRAINLY_CHAT_ID}/answer_question \
  -H "Authorization: Bearer ${TRAINLY_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "question": "What are the main points in my documents?"
  }'

// Stream responses in real-time
for await (const chunk of trainly.queryStream({
  question: "Explain the methodology in detail"
})) {
  if (chunk.type === 'content') {
    process.stdout.write(chunk.data);
  } else if (chunk.type === 'end') {
    console.log('\n\nComplete!');
  }
}

const result = await trainly.uploadFile({
  file: './research_paper.pdf',
  scopeValues: {
    category: 'research',
    project_id: 'proj_123'
  }
});

console.log('Uploaded:', result.filename);

const files = await trainly.listFiles();

console.log(`Total: ${files.total_files} files`);
files.files.forEach(file => {
  console.log(`- ${file.filename} (${file.chunk_count} chunks)`);
});

// Fast and cheap
const response1 = await trainly.query({
  question: "Quick summary?",
  model: "gpt-4o-mini"  // 1x credits
});

// High quality
const response2 = await trainly.query({
  question: "Detailed analysis?",
  model: "gpt-4o"  // 15x credits
});