Integration Guide

1. Download ChatBox from chatboxai.app or GitHub releases.
2. Open Settings and click "Add Provider", then select "Custom".
3. Set the API URL to https://api.chmuhub.com/v1/public.
4. Paste your CHMU Hub API key in the API Key field.
5. Select a model from the available model list (e.g. gpt-4o, claude-sonnet-4-20250514).
6. Save the settings and start a new conversation.

1. Go to Settings and navigate to "Model Provider".
2. Click "Add" and select "OpenAI API Compatible".
3. Enter the CHMU Hub API URL: https://api.chmuhub.com/v1/public
4. Paste your API key from the CHMU Hub dashboard.
5. Click Refresh to load available models, then select the one you want.
6. Return to the chat and pick the newly added provider.

1. Set the environment variable for the base URL.
2. Set the environment variable for the API key.
3. Launch Claude Code as usual — it will route through CHMU Hub.

Add these to your shell profile (~/.bashrc, ~/.zshrc):

export ANTHROPIC_BASE_URL="https://api.chmuhub.com/v1/public"
export ANTHROPIC_API_KEY="sk-chmuhub-your-key-here"

Supports claude-sonnet-4-20250514, claude-opus-4-20250514, and other Anthropic models.

1. Open Cursor Settings (Cmd/Ctrl + ,) and go to "Models".
2. Select "OpenAI API" as the provider.
3. Set the Base URL to https://api.chmuhub.com/v1/public.
4. Enter your CHMU Hub API key.
5. Select a model (e.g. gpt-4o, claude-sonnet-4-20250514).
6. Enable the custom endpoint and start coding.

1. Install the Cline extension from the VS Code marketplace.
2. Open Cline settings (click the gear icon in the Cline sidebar).
3. Select "OpenAI Compatible" as the API provider.
4. Enter the Base URL: https://api.chmuhub.com/v1/public
5. Paste your CHMU Hub API key.
6. Choose a model from the model dropdown.
7. Start a new task and Cline will use CHMU Hub.

1. Go to System Settings and click "Model Provider".
2. Click "Add Model Provider" and select "OpenAI-API-compatible".
3. Set the API endpoint to https://api.chmuhub.com/v1/public
4. Enter your CHMU Hub API key as the credential.
5. Add the model names you want to use (e.g. gpt-4o).
6. Save and select the model in your Dify application workflow.

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.chmuhub.com/v1/public",
    api_key="sk-chmuhub-your-key-here",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.chmuhub.com/v1/public",
  apiKey: "sk-chmuhub-your-key-here",
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Any library or tool that supports the OpenAI API format will work with CHMU Hub. Just change the base URL and API key.