> ## Documentation Index
> Fetch the complete documentation index at: https://developers.qomon.com/llms.txt
> Use this file to discover all available pages before exploring further.

# LLMs.txt

> Use Qomon's LLM-ready documentation files to give AI assistants structured context about the API.

These files help AI tools discover available guides, endpoint references, and API specifications before they answer questions or generate code.

## Choose this when:

* You want an AI assistant to read public documentation before it answers.
* You need a quick index of the site or a full documentation export in one file.
* You do not need live access to a specific Qomon space.

## Available files

* [`/llms.txt`](/llms.txt): A concise index of the documentation site, including page links and descriptions.
* [`/llms-full.txt`](/llms-full.txt): A full documentation export for tools that need broader context in one file.

## When to use them

Use these files when you want an AI assistant to:

* Understand the Qomon API documentation structure.
* Find the right API reference pages before suggesting endpoints.
* Generate integration code with better documentation context.
* Answer implementation questions using the latest public docs.

Use MCP instead when the assistant needs live data from your Qomon space.

## Suggested prompt

```text theme={"system"}
Use the Qomon API documentation context from /llms.txt.
If you need full documentation context, use /llms-full.txt.
Help me build an integration that [describe what you want to build].
```

## Best practices

* Start with [`/llms.txt`](/llms.txt) when your tool can fetch linked pages.
* Use [`/llms-full.txt`](/llms-full.txt) when your tool works better with a single context file.
* Keep your API key private. Never paste it into public or untrusted AI tools.
* Verify generated code against the API reference before using it in production.