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AI & LLM support

AI & LLM support

Using Vivamo's documentation with LLMs and AI tools

Vivamo publishes its documentation in the llms.txt format so LLMs can read it directly. If you're building your integration with an AI coding assistant or agent framework, point it at our llms.txt endpoint to give it context on the Vivamo API.

Additionally all pages and guides have the copy button, which allows you to copy the page as markdown format for you to paste directly into an LLM conversation or your code editor.

llms.txt

The file is available at:

/llms.txt

It follows the proposed llms.txt specification. The file contains a summary of the Vivamo platform and links to every guide and API reference page in markdown format.

The llms.txt file contains:

  • A summary of what Vivamo does and how the integration works
  • Links to all guide pages (payments, disbursements, customers, webhooks, SDK, etc.)
  • Links to all API reference endpoints
  • Links to object schema documentation

Each link points to a markdown-rendered version of the page, which LLMs can parse without dealing with HTML or JavaScript.

Using llms.txt with AI tools

Claude, ChatGPT, and similar assistants

Paste the llms.txt URL into your conversation to give the model context on the Vivamo API. You can also paste the URL of a specific documentation page (appending .mdx to the path) for more targeted context.

AI coding assistants (Cursor, Claude Code, Windsurf, etc.)

Most AI coding assistants can fetch URLs during a session. Give it the llms.txt URL when asking it to help with your Vivamo integration. The assistant can then pull in the relevant documentation pages as needed.

MCP and agent frameworks

If you're using an agent framework that supports tool use or web fetching, point it at the llms.txt URL as a documentation source. The structured link format lets agents discover and retrieve only the pages relevant to the current task.

OpenAPI spec

The OpenAPI 3.0 spec is also available if your tooling supports it:

This includes all endpoints, request/response schemas, examples, and auth requirements. Tools like Cursor, Codex, and various agent frameworks can import OpenAPI specs directly.

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