Configuration#
This page contains articles, references, indexes, and instructions
for configuring Angie. These articles cover installation and configuration of Angie,
starting and stopping the web server, managing it,
as well as various aspects of request processing
and interaction with other servers. These summary sections provide reference information on built-in modules,
examples of their configuration, as well as supported directives and variables. You can also use the short link service at https://angie.ws/
to quickly find individual directives and variables: The site ships machine-readable copies of every documentation page
so that LLM-powered tools — Claude Code, Cursor, ChatGPT, and other
agentic assistants — can ingest the content directly instead of
scraping rendered HTML. Each language subdomain serves an llms.txt
sitemap with a short project description and a list of every page
(title, absolute URL, annotation). Its companion These URLs are also advertised in
robots.txt via the
Every HTML page has a Markdown twin. To fetch the Markdown version of
any documentation URL, replace the trailing slash with Markdown is generated from the same reStructuredText source as the
HTML build, so the content always stays in sync. Angie documentation is indexed on
Context7, a registry that serves
up-to-date library documentation to AI code editors through its
MCP server. The English Angie listing is at
https://context7.com/websites/en_angie_software_angie. Step-by-step instructions for specific aspects of configuring Angie are provided here. We have collected community resources that will help you better understand
configuring and using Angie. English-language courses on Angie are not currently available.
Refer to the official Angie documentation and the practical guides below.General Information#
References and Indexes#
Documentation for AI assistants#
llms.txt and llms-full.txt#
llms-full.txt
concatenates the full Markdown body of every page into a single file
suitable for one-shot ingestion:Llms: directive, so LLM crawlers discover them automatically.Markdown versions of pages#
.md:Context7#
Instructions#
Community Materials#
Articles#
Courses#
Practical Guides#
Interviews and Podcasts#
Content