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devupai/dist/index.js

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Readme

DEVUP AI — Official Node.js SDK

Official Node.js SDK for DEVUP AI — Algeria's AI inference gateway. OpenAI-compatible API with 170+ models, billed in DZD via Edahabia & CIB.

Why DEVUP AI?

Feature	Details
🇩🇿 Local Payments	Pay in DZD via Edahabia & CIB
💳 No Visa Required	No international card needed
🤖 170+ Models	Llama, Qwen, DeepSeek, FLUX, Whisper, and more
⚡ OpenAI-Compatible	Drop-in replacement — just change the base URL
🌍 Edge Ready	Works in Vercel Edge, Cloudflare Workers, Deno, Bun
🔒 Zero Retention	Your data is never stored

Installation

npm install devupai

Quick Start

import DevupAI from "devupai";

const client = new DevupAI({
  apiKey: process.env.DEVUP_API_KEY!,
});

const response = await client.chat.completions.create({
  model: "meta-llama/Llama-3.3-70B-Instruct-Turbo",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Features

✅ Chat completions (streaming + non-streaming)
✅ Image generation (FLUX, SDXL, and more)
✅ Text embeddings (BGE-M3, multilingual)
✅ Text-to-speech & speech-to-text
✅ Video generation
✅ Reranking
✅ Model listing
✅ Vercel AI SDK compatible (via devupai/ai)
✅ Works in Node.js 18+, Browser, Edge Runtime, Deno, Bun
✅ Zero runtime dependencies
✅ Full TypeScript support

Available Models

170+ open-source models across all modalities:

Category	Models
💬 Chat & Reasoning	Llama 3.3, Qwen 3, DeepSeek V3, Mistral, GPT OSS
🖼️ Image Generation	FLUX.1 (schnell/dev/pro), SDXL, Wan Image
🎵 Audio	Kokoro TTS, Whisper ASR, Chatterbox
🎬 Video	Wan 2.6/2.7, Seedance, Pixverse
📊 Embeddings	BGE-M3, Qwen3 Embedding, Nemotron
🔍 Reranking	Qwen3 Reranker, Nemotron Reranker

Full list: devupai.com/models

Usage

Chat Completions

// Non-streaming
const response = await client.chat.completions.create({
  model: "meta-llama/Llama-3.3-70B-Instruct-Turbo",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "What is Algeria's capital?" }
  ],
  temperature: 0.7,
  max_tokens: 1024,
});

// Streaming
const stream = await client.chat.completions.create({
  model: "meta-llama/Llama-3.3-70B-Instruct-Turbo",
  messages: [{ role: "user", content: "Tell me a story." }],
  stream: true,
});

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

Image Generation

const image = await client.images.generate({
  model: "black-forest-labs/FLUX.1-schnell",
  prompt: "A beautiful view of Algiers at sunset",
  size: "1024x1024",
});

console.log(image.data[0].url);

Embeddings

const result = await client.embeddings.create({
  model: "BAAI/bge-m3",
  input: ["Hello world", "مرحبا بالعالم", "Bonjour le monde"],
});

console.log(result.data[0].embedding); // number[]

Text-to-Speech

const audioBuffer = await client.audio.speech.create({
  model: "kokoro",
  input: "Welcome to DEVUP AI",
  voice: "af_sky",
});

// Save to file (Node.js)
import { writeFileSync } from "fs";
writeFileSync("output.mp3", Buffer.from(audioBuffer));

Speech-to-Text

const transcript = await client.audio.transcriptions.create({
  model: "openai/whisper-large-v3-turbo",
  file: audioFile, // File | Blob | Uint8Array
  language: "ar",
});

console.log(transcript.text);

Video Generation

const video = await client.video.generations.create({
  model: "Wan-AI/Wan2.1-T2V-14B",
  prompt: "A camel walking through the Sahara desert",
  width: 1280,
  height: 720,
});

console.log(video.data[0].url);

List Models

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

cURL

No SDK required — works with any HTTP client:

curl https://api.devupai.com/v1/chat/completions \
  -H "Authorization: Bearer $DEVUP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Llama-3.3-70B-Instruct-Turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Vercel AI SDK

Install the optional peer dependencies:

npm install @ai-sdk/openai-compatible @ai-sdk/provider

Then import from devupai/ai:

import { createDevupAI } from "devupai/ai";
import { streamText, generateText, embed } from "ai";

const devupai = createDevupAI({
  apiKey: process.env.DEVUP_API_KEY!,
});

// With streamText
const { textStream } = await streamText({
  model: devupai("meta-llama/Llama-3.3-70B-Instruct-Turbo"),
  prompt: "Write a poem about Algeria.",
});

for await (const text of textStream) {
  process.stdout.write(text);
}

// With generateText
const { text } = await generateText({
  model: devupai("meta-llama/Llama-3.3-70B-Instruct-Turbo"),
  prompt: "Hello!",
});

// With useChat (Next.js)
// In your API route:
import { createDevupAI } from "devupai/ai";
import { streamText } from "ai";

const devupai = createDevupAI({ apiKey: process.env.DEVUP_API_KEY! });

export async function POST(req: Request) {
  const { messages } = await req.json();
  const result = await streamText({
    model: devupai("meta-llama/Llama-3.3-70B-Instruct-Turbo"),
    messages,
  });
  return result.toDataStreamResponse();
}

Configuration

const client = new DevupAI({
  apiKey: "dvup_...",          // Required
  baseURL: "https://api.devupai.com/v1",  // Optional — default shown
});

TypeScript

All types are exported and ready to use:

import DevupAI, {
  type ChatCompletionMessageParam,
  type ChatCompletion,
  type DevupAPIError,
} from "devupai";

const messages: ChatCompletionMessageParam[] = [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Hello!" },
];

Error Handling

import DevupAI, { DevupAPIError } from "devupai";

try {
  await client.chat.completions.create({ ... });
} catch (err) {
  if (err instanceof DevupAPIError) {
    console.error(`API Error ${err.status}: ${err.message}`);
  }
}

Get API Key

Sign up at devupai.com
Top up your balance in DZD via Edahabia or CIB (no Visa required)
Generate an API key at devupai.com/dashboard/api-keys

License

MIT — see LICENSE for details.

devupai