import RunwayML from '@runwayml/sdk';

const client = new RunwayML();

const document = await client.documents.create({
  name: 'Product FAQ',
  content: `# Product FAQ

## What is your return policy?
We offer a 30-day return policy for all unused items in original packaging.

## How do I track my order?
Log in to your account and visit the Orders page. You'll find tracking information for all shipped orders.

## Do you offer international shipping?
Yes, we ship to over 50 countries. Shipping costs and delivery times vary by destination.`,
});

console.log('Document created:', document.id);

from runwayml import RunwayML

client = RunwayML()

document = client.documents.create(
    name='Product FAQ',
    content="""# Product FAQ

## What is your return policy?
We offer a 30-day return policy for all unused items in original packaging.

## How do I track my order?
Log in to your account and visit the Orders page.

## Do you offer international shipping?
Yes, we ship to over 50 countries.""",
)

print('Document created:', document.id)

await client.avatars.update(avatarId, {
  documentIds: [document.id],
});

client.avatars.update(
    avatar_id,
    document_ids=[document.id],
)

const faq = await client.documents.create({
  name: 'FAQ',
  content: '...',
});

const policies = await client.documents.create({
  name: 'Company Policies',
  content: '...',
});

await client.avatars.update(avatarId, {
  documentIds: [faq.id, policies.id],
});

const session = await client.realtimeSessions.create({
  model: 'gwm1_avatars',
  avatar: {
    type: 'custom',
    avatarId: avatarId,
  },
});

session = client.realtime_sessions.create(
    model='gwm1_avatars',
    avatar={
        'type': 'custom',
        'avatar_id': avatar_id,
    },
)

import fs from 'fs';
import RunwayML from '@runwayml/sdk';

const client = new RunwayML();

// Read a local markdown file
const content = fs.readFileSync('./knowledge/product-faq.md', 'utf-8');

const document = await client.documents.create({
  name: 'Product FAQ',
  content,
});

from pathlib import Path
from runwayml import RunwayML

client = RunwayML()

content = Path('./knowledge/product-faq.md').read_text()

document = client.documents.create(
    name='Product FAQ',
    content=content,
)

// Example: API endpoint to update character knowledge
app.post('/api/avatar/update-knowledge', async (req, res) => {
  const { avatarId, documents } = req.body;

  // Create new documents
  const docIds = [];
  for (const doc of documents) {
    const created = await client.documents.create({
      name: doc.name,
      content: doc.content,
    });
    docIds.push(created.id);
  }

  // Link all documents to the avatar (replaces existing)
  await client.avatars.update(avatarId, {
    documentIds: docIds,
  });

  res.json({ success: true, documentCount: docIds.length });
});