Use Bizgo docs with AI tools
Connect the Bizgo developer documentation to your AI tools and you can handle code generation, debugging, and API integration far faster.
llms.txt — a documentation index for AI
llms.txt is a standard format that lets AI models grasp the structure of a documentation site efficiently.
It lists the title, URL, and description of every page, so it works well as context for Cursor, Claude, ChatGPT, and similar tools.
| File | Purpose | URL |
|---|---|---|
llms.txt | Documentation index (light and fast) | https://developers.bizgo.io/en/llms.txt |
llms-full.txt | Full documentation content (complete context) | https://developers.bizgo.io/en/llms-full.txt |
Use it in Cursor
Register the Bizgo documentation in your project with Cursor's Docs feature and Cursor references it automatically while you write code.
Option 1 — reference it right away with @Docs
@Docs https://developers.bizgo.io/en/llms.txt
Write code that sends an order completion notification with the Bizgo SMS send API
Option 2 — register it in the Docs index (permanent reference)
- Open Cursor settings → Features → Docs
- Click
+ Add new doc - Enter the URL:
https://developers.bizgo.io/en/llms.txt - From then on, reference it any time with
@Bizgo Docs
Use it in Claude
Claude.ai
Paste the following into the chat box and Claude answers with the Bizgo API as context.
Answer based on the following documentation:
https://developers.bizgo.io/en/llms.txt
[write your question here]
When you need the full documentation:
Read https://developers.bizgo.io/en/llms-full.txt
and write Node.js code that sends a Bizgo Kakao Alimtalk message
Claude Code (CLI)
Add it to your .claude/CLAUDE.md file and it is referenced automatically across the whole project.
## External documentation references
Refer to the following documents when working with the Bizgo API:
- Documentation index: https://developers.bizgo.io/en/llms.txt
- Full documentation: https://developers.bizgo.io/en/llms-full.txt
Use it in ChatGPT
Paste directly into a GPT-4o / ChatGPT prompt
Write Bizgo API integration code based on the contents of the following URL:
https://developers.bizgo.io/en/llms.txt
You can also copy the contents of llms-full.txt and paste them straight into the prompt, which gives you the most accurate results.
Send automatically with function calling
To let an AI agent call the Bizgo API directly, add a tool definition.
The example below follows the OpenAI / Anthropic SDK format.
{
"name": "send_bizgo_sms",
"description": "비즈고 API로 SMS 메시지를 발송합니다. 주문 완료·배송 안내·인증번호 등 정보성 메시지에 사용합니다.",
"parameters": {
"type": "object",
"properties": {
"to": {
"type": "string",
"description": "수신번호 (예: 01012345678)"
},
"content": {
"type": "string",
"description": "메시지 본문 (90byte 초과 시 LMS 자동 전환)"
}
},
"required": ["to", "content"]
}
}
When the tool is called, run the Bizgo API on your server as shown below.
async function sendBizgoSms({ to, content }: { to: string; content: string }) {
const res = await fetch("https://api.bizgo.io/v2/comm/sms/send", {
method: "POST",
headers: {
"x-api-key": process.env.BIZGO_API_KEY!,
"Content-Type": "application/json",
},
body: JSON.stringify({
senderKey: process.env.BIZGO_SENDER_KEY,
messages: [{ to, content }],
}),
});
return res.json();
}
Always manage your API key as a server-side environment variable. Never put it directly in client code or in an AI prompt.
Related documents
- Integration management (API key · environment setup) — issue an API key and configure IP ACL
- API reference — check the full API spec
- Understand the send request structure — learn the fallback and Omni structure