Pendra Node.js SDK

$ npm install pendra

import Pendra from 'pendra';

const client = new Pendra({
  apiKey: 'pdr_sk_...', // or set PENDRA_API_KEY env var
});

const response = await client.chat.completions.create({
  model: 'llama3.2',
  messages: [{ role: 'user', content: 'Hello!' }],
});

console.log(response.choices[0].message.content);

const stream = await client.chat.completions.create({
  model: 'llama3.2',
  messages: [{ role: 'user', content: 'Write a poem' }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}

import { writeFileSync } from 'node:fs';

const response = await client.images.generations.create({
  model: 'x/z-image-turbo',
  prompt: 'A red London double-decker bus at sunset',
  size: '1024x1024',
});

const b64 = response.data[0].b64_json;
if (b64) {
  writeFileSync('bus.png', Buffer.from(b64, 'base64'));
}

const response = await client.embeddings.create({
  model: 'nomic-embed-text:latest',
  input: ['The quick brown fox', 'jumps over the lazy dog'],
});

for (const item of response.data) {
  console.log(item.index, (item.embedding as number[]).length, 'dims');
}

console.log(response.usage.prompt_tokens);

const models = await client.models.list();
models.forEach((m) => console.log(m.id));

// Before
import OpenAI from 'openai';
const client = new OpenAI({ apiKey: 'sk-...' });

// After
import Pendra from 'pendra';
const client = new Pendra({ apiKey: 'pdr_sk_...' });