Integrating with AI

The Fluid documentation is also available in an AI-friendly form following the llmstxt.org standard. AI coding assistants (Cursor, Claude, ChatGPT and others) can read these files directly to answer questions about embedding the Fluid Cashier or configuring it in the Back Office.

Two files are published at the root of this site:

• Index — /llms.txt: a short list of every public page, with a one-line summary and a link.
• Full text — /llms-full.txt: every public page in a single Markdown file.

For example, https://docs.fluidpayments.io/llms.txt and https://docs.fluidpayments.io/llms-full.txt.

How to use them

• In a chat assistant: paste either URL into the conversation and ask your question. Most assistants fetch and read the file.
• In a developer tool (e.g. Cursor, Claude Code, Codex): add the URL as documentation context, or download llms-full.txt and reference it from your prompt.
• In an automated pipeline: fetch llms.txt to discover the pages, then fetch the ones you need.

Caution

AI answers are only as accurate as the documentation they’re given, and Fluid’s product evolves over time. Always check integration steps against the live documentation and your operator-specific configuration before shipping.