LLM Context & llms.txt

Auriya provides standardized machine-readable documentation compliant with the llmstxt.org specification. These endpoints allow Large Language Models (LLMs), AI coding assistants, and autonomous agents to index and reference Auriya’s technical documentation directly.

Available Endpoints

llms.txtStandardized root index and documentation catalog for AI discovery.

llms-small.txtAbridged context containing essential architecture, APIs, and tuning guides.

llms-full.txtComprehensive complete documentation concatenated into a single Markdown file.

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Integration Guide

1. In AI IDEs & Agents

Add Auriya’s documentation as a custom doc source in your AI editor (Cursor, Windsurf, Claude Code, Antigravity, GitHub Copilot):

Index URL (Recommended)

https://auriya.pages.dev/llms.txt

Full Context File

https://auriya.pages.dev/llms-full.txt

2. Prompt Ingestion via cURL / Terminal

Fetch documentation context directly inside terminal sessions or pipe into local AI CLI tools:

cURL to File

# Download complete documentation for offline LLM prompting
curl -sSL https://auriya.pages.dev/llms-full.txt -o auriya_docs.md

Direct Pipe to LLM CLI

# Pipe abridged context directly to your CLI runner
curl -sSL https://auriya.pages.dev/llms-small.txt | llm "Explain Auriya FAS dynamic scheduling"

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Automatic Generation

These files are built automatically during every deployment using starlight-llms-txt. Any updates to guides, configuration keys, or kernel tweaks are immediately synchronized across all LLM endpoints.