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pendra

v0.3.0

Published

Official TypeScript SDK for the Pendra LLM inference API

Readme

Pendra TypeScript SDK

Official TypeScript/JavaScript SDK for the Pendra LLM inference API. Mirrors the OpenAI SDK interface for easy migration.

Requires Node.js 18+ (uses native fetch). Zero runtime dependencies.

Installation

npm install pendra

Quick Start

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);

Streaming

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 ?? '');
}

List Models

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

Image Generation

Generate images from a text prompt. Returns base64-encoded PNGs by default.

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'));
}

Image generation is non-streaming — the response is returned as a single JSON payload once the worker finishes.

Configuration

| Option | Env var | Default | | --------- | ---------------- | -------------------------- | | apiKey | PENDRA_API_KEY | — | | baseURL | — | https://api.pendra.ai | | timeout | — | 120000 (ms) |

Migrating from OpenAI

- import OpenAI from 'openai';
- const client = new OpenAI({ apiKey: '...' });
+ import Pendra from 'pendra';
+ const client = new Pendra({ apiKey: 'pdr_sk_...' });

// Everything else stays the same
const res = await client.chat.completions.create({
  model: 'llama3.2',
  messages: [{ role: 'user', content: 'Hi' }],
});

Error Handling

import { AuthenticationError, RateLimitError, APIStatusError } from 'pendra';

try {
  await client.chat.completions.create({ ... });
} catch (err) {
  if (err instanceof AuthenticationError) {
    console.error('Bad API key');
  } else if (err instanceof RateLimitError) {
    console.error('Slow down');
  } else if (err instanceof APIStatusError) {
    console.error(`API error ${err.status}: ${err.message}`);
  }
}

Self-Hosted Workers

Run inference on your own GPUs with a single command. Your prompts and completions never leave your infrastructure.

curl -fsSL https://get.pendra.ai/worker | bash

See the Workers documentation for full setup instructions.

Licence

Apache-2.0