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ozwellai

v1.0.0

Published

Official TypeScript/JavaScript client for OzwellAI API

Readme

OzwellAI TypeScript/JavaScript Client

Official TypeScript/JavaScript client library for the OzwellAI API.

Installation

npm

npm install ozwellai

JSR (for Deno)

deno add @mieweb/ozwellai

Usage

Basic Setup

// ES Modules
import OzwellAI from "ozwellai";

// Or in CommonJS:
// const OzwellAI = require("ozwellai");

const client = new OzwellAI({
  apiKey: process.env.OZWELLAI_API_KEY, // best practice: load from env
});

Configuration Options

const client = new OzwellAI({
  apiKey: 'your-api-key',
  baseURL: 'https://api.ozwell.ai', // optional, defaults to official API
  timeout: 30000, // optional, defaults to 30 seconds
  defaultHeaders: { // optional
    'X-Custom-Header': 'value'
  }
});

Chat Completions

const response = await client.createChatCompletion({
  model: 'gpt-4',
  messages: [
    { role: 'user', content: 'Hello, how are you?' }
  ],
  temperature: 0.7,
});

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

Embeddings

const response = await client.createEmbedding({
  model: 'text-embedding-ada-002',
  input: 'The food was delicious and the waiter...',
});

console.log(response.data[0].embedding);

File Operations

// Upload a file
const file = new File(['content'], 'example.txt', { type: 'text/plain' });
const uploadedFile = await client.uploadFile(file, 'assistants');

// List files
const files = await client.listFiles();

// Get file details
const fileDetails = await client.getFile('file-abc123');

// Delete file
await client.deleteFile('file-abc123');

Models

// List available models
const models = await client.listModels();
console.log(models.data);

Ozwell-Specific Features

// Use the custom responses endpoint
const response = await client.createResponse({
  model: 'ozwell-v1',
  input: 'Analyze this data...',
  temperature: 0.5,
});

TypeScript Support

This package is written in TypeScript and includes full type definitions. All API request and response types are exported:

import type {
  ChatCompletionRequest,
  ChatCompletionResponse,
  EmbeddingRequest,
  EmbeddingResponse,
} from 'ozwellai';

Node.js and Deno Support

This package supports both Node.js (18+) and Deno environments:

  • Node.js: Uses built-in fetch (Node 18+) or polyfill
  • Deno: Native fetch and Web APIs support
  • Browser: Full browser compatibility with bundlers

Error Handling

try {
  const response = await client.createChatCompletion({
    model: 'gpt-4',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
} catch (error) {
  console.error('API Error:', error.message);
}

Contributing

This client is part of the ozwellai-api repository. Please see the main repository for contributing guidelines.

License

Apache 2.0 - see the LICENSE file for details.