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Integrating Oxlo.ai with OpenAI SDK: A Step-by-Step Guide

Switching between AI providers should not require rewriting your application. If you have built on the OpenAI SDK, you already have the client libraries, error...

Integrating Oxlo.ai with OpenAI SDK: A Step-by-Step Guide

Switching between AI providers should not require rewriting your application. If you have built on the OpenAI SDK, you already have the client libraries, error handling, and retry logic in place. The only friction is usually a new API schema, different authentication patterns, or missing features that force you to refactor working code. Oxlo.ai removes that friction. It is a fully OpenAI API-compatible inference platform, so you can point your existing Python, Node.js, or cURL requests to Oxlo.ai and start using its request-based pricing and broad model catalog without changing your data structures or control flow. This guide walks through the exact changes you need to make, endpoint by endpoint, with copy-paste code you can verify in minutes.

Prerequisites

You need an Oxlo.ai API key and the official OpenAI SDK installed in your environment. If you do not have an account yet, sign up at Oxlo.ai and generate a key from the dashboard. The platform offers a Free plan with 60 requests per day and access to more than 16 models, which is enough to validate every example in this guide. Install the SDK with pip or npm:

# Python
pip install openai

# Node.js
npm install openai

Configure the Client

The only difference between a standard OpenAI client and an Oxlo.ai

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