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aibox-client

v1.0.0

Published

Node.js client for claude.jphgpt.f5.si AI models

Readme


aibox-client

License: MIT

Powered by claude.jphgpt.f5.si

Author: JrDev06 (Jr Busaco)

Disclaimer: This package is reverse-engineered. There is no official API for this service, and this package is not affiliated with the original provider. Please do not contact us regarding API downtime. ⚠


Table of Contents

  1. Installation

  2. Usage

  3. API

  4. TypeScript Support

  5. Notes


Installation

npm install aibox-client
# or
yarn add aibox-client

Usage

const aibox = require("aibox-client");

(async () => {
  // Fetch all available models
  const models = await aibox.getModels();
  console.log(models);

  const model = "deepseek-reasoner";
  const messages = [
    { role: "system", content: "You are now OwnerV2." },
    { role: "user", content: "hi" }
  ];

  const response = await aibox.generate(model, messages);
  console.log(response);
  // Example output: "Hello! How can I help you today?"
})();

API

getModels(): Promise<string[]>

Fetch all available model identifiers.

Example:

const models = await aibox.getModels();
console.log(models);
// ['glm-4.5', 'deepseek-3.1', 'kimi-k2', ...]

generate(model: string, messages: Message[]): Promise<string>

Generate AI responses using a selected model.

Parameters:

  • model – Model identifier (from .getModels())
  • messages – Array of messages:
{ role: 'user' | 'assistant' | 'system', content: string }

Example:

const response = await aibox.generate("deepseek-reasoner", [
  { role: "system", content: "You are now OwnerV2." },
  { role: "user", content: "hi" }
]);
console.log(response);

TypeScript Support

import aibox, { Message } from "aibox-client";

const messages: Message[] = [
  { role: "user", content: "Hello!" }
];

const response = await aibox.generate("deepseek-reasoner", messages);
console.log(response);
// Example output: "Hello! How can I assist you today?"

Notes

  • This package is reverse-engineered.
  • There is no official API for this service.
  • .getModels() → Returns only model identifiers
  • .generate() → Requires model + messages array
  • Fully compatible with JavaScript and TypeScript projects