You can use large language models (LLMs) to assist in the building of Bayou Energy integrations. We provide a set of tools and best practices if you use LLMs during development.

Plain text docs

You can access all of Bayou's documentation as plain text markdown files here: https://staging.bayou.energy/llms-full.txt

This helps AI tools and agents consume our docs and allows you to copy and paste the entire contents of our documentation into an LLM. This format is preferable to scraping or copying from our HTML and JavaScript-rendered pages because:

• Plain text contains fewer formatting tokens.
• Content that isn’t rendered in the default view (for example, it’s hidden in a tab) of a given page is rendered in the plain text version.
• LLMs can parse and understand markdown hierarchy.

Bayou Model Context Protocol (MCP) Server

For developers using AI powered code editors like Cursor, Replit, or Windsurf, or general purpose tools like Claude Desktop, we’ll provide the Bayou Model Context Protocol (MCP) server - development in progress. The MCP server will provide AI agents a set of tools for calling the Bayou API and searching our documentation.