Tutorial

First steps: sign up, add ¥10, and create an API key

Get an API key and the endpoint address in three steps, then paste them into Cherry Studio, Chatbox, Codex or any other client.

→

Claude Code with Xisu AI (Windows / macOS / Linux)

Install Claude Code, set three environment variables for the address, key and model, and code in your terminal with Claude models on Xisu AI.

→

Codex CLI with Xisu AI: set up the Responses API in one go

Install Codex CLI, add one config.toml and one environment variable to run on Xisu AI, plus how Responses differs from Chat Completions.

→

Connect to the Xisu AI API in 5 minutes: Python, Node.js and curl

Sign up, add funds, create a key, set base_url, send your first request in Python, Node.js or curl, then check tokens and cost in Request log.

→

Use your existing SDK or client

Connect official OpenAI SDKs, desktop clients such as Cherry Studio, or terminal coding tools to Xisu AI by changing only the base_url and API key. Covers whether to include /v1, empty model lists, and clients still calling the official API.

→

How to check you are getting the real model

Asking who it is proves nothing. Check the tokenizer fingerprint, vendor-only features and each call by request_id, with a ready-to-run script.

→